nigam shah cv

nigam shah cv

For the cross-institutional analysis, using five example filters on i2b2/VA data reduces the actual lexicon to 19.13% of the size of the UMLS and only sees a 2% reduction in matched terms.The corpus statistics presented here are instructive for building lexicons from the UMLS. Over the 15 years, the Bio-Ontologies SIG at ISMB has provided a forum for discussion of the latest and most innovative research in the bio-ontologies development, its applications to biomedicine and more generally the organisation, presentation and dissemination of knowledge in biomedicine and the life sciences. Caswell-Jin, J., Callahan, A., Purington, N., Han, S. S., Itakura, H., Sledge, G. W., Shah, N., Kurian, A. W. Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network. Researchers face the challenge of collecting, evaluating and integrating large amounts of diverse information to compose and evaluate a hypothesis. Disease status is often summarized by repeated recordings of one or more physiological measures. By analyzing search queries collected from 80 million consenting users and by using a widely recognized benchmark of ADRs, we found that the performance of ADR detection via search logs is comparable and complementary to detection based on the FDA's adverse event reporting system (AERS). Well-established methodologies were used to generate signals from each source. WWW ’14: ACM International Conference on World Wide Web, 2014. We used the syntactic structure of PGx statements to systematically extract commonly occurring relationships and to map them to a common schema. View details for Web of Science ID 000182694200009. Shah, N. H., Rubin, D. L., Supekar, K. S., Musen, M. A. Temporal evolution of the Arabidopsis oxidative stress response. Pain, nausea, and vomiting co-occur in 35% of all ED encounter notes.The text-mining methods we describe can be applied to automatically review free-text clinician notes to detect unplanned episodes of care mentioned in these notes. This is the second film by Ashish Kakkad, after Better Half. However, most efforts do not use the free-text from clinical notes in monitoring for drug-safety signals. The development and evaluation of these methodologies requires proper reference benchmarks. However, there is no prospective clinical study evaluating whether the use of PPIs directly causes CV harm. Nigam has 3 jobs listed on their profile. Lyalina, S., Percha, B., LePendu, P., Iyer, S. V., Altman, R. B., Shah, N. H. A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk. Using these two ontologies we can effectively represent about 80% of the annotations in a structured manner. Some searches result in page views of only short duration, while others consistently result in longer-than-average page views. Soldatova, L. N., Sansone, S., Dumontier, M., Shah, N. H. STOP using just GO: a multi-ontology hypothesis generation tool for high throughput experimentation. Scott, M. K., Quinn, K., Li, Q., Carroll, R., Warsinske, H., Vallania, F., Chen, S., Carns, M. A., Aren, K., Sun, J., Koloms, K., Lee, J., Baral, J., Kropski, J., Zhao, H., Herzog, E., Martinez, F. J., Moore, B. Alani, H., Noy, N. F., Shah, N., Shadbolt, N., Musen, M. A. Patient-centered outcomes are complex, require documentation of patient communications, and have not been routinely collected by healthcare providers. An unsupervised learning method to identify reference intervals from a clinical database. A curated and standardized adverse drug event resource to accelerate drug safety research. Scott Fleming. A., Agras, W., Li Fei-Fei, Shah, N. H. Research and Reporting Considerations for Observational Studies Using Electronic Health Record Data. M., , , , , , , , , et al. Patient and wound data was collected at 68 outpatient wound care centers operated by Healogics Inc. in 26 states between 2009 and 2013. We claim that this approach leads to improved accuracy of signal detection when the goal is to produce a highly selective ranked set of candidate ADRs.Our investigation was based on over 4 million AERS reports and information extracted from 1.2 million EHR narratives. CLASSES INSTRUCTED (100 series represents upper division, 200 series represents graduate We describe UMLS-Query, a Perl module that provides functions for retrieving concept identifiers, mapping text-phrases to Metathesaurus concepts and graph traversal in the Metathesaurus stored in a MySQL database. Key Considerations for Incorporating Conversational AI in Psychotherapy. View details for DOI 10.1186/1471-2105-14-53, View details for Web of Science ID 000318030400001, View details for PubMedCentralID PMC3635999. an OBO ontology may be translated to OWL and back without loss of knowledge. Extracting and structuring such text-mined relationships is a key to support the evaluation and the validation of multiple hypotheses that emerge from high throughput translational studies spanning multiple measurement modalities. 2015. The mechanism of this possible adverse effect is not known. Evaluation demonstrates that the service has high accuracy and runtime performance. Contact: Nigam Shah, nigam@stanford.edu. For example, by annotating known protein mutations with disease terms from the ontologies in BioPortal, Mort et al. Mission Mummy (Gujarati: મિશન મમ્મી), is a 2016 Indian children and family drama film, written and directed by Ashish Kakkad and produced by Nigam Shah, Divyesh Mehta & Sugam Shah. First, we analyze data from the 2010 Healthcare Cost and Utilization Project National Inpatient Sample (NIS), which contains upwards of 8 million hospitalization records consisting of administrative codes and demographic information. We developed methods to map these annotations to the NCI thesaurus and the SNOMED-CT ontologies. RegenBase is publicly available for browsing, querying and download.Database URL:http://regenbase.org. We identified 232 PAD patients taking Cilostazol and created a control group of 1,160 PAD patients not taking this drug using 1∶5 propensity-score matching. Wu, S. T., Liu, H., Li, D., Tao, C., Musen, M. A., Chute, C. G., Shah, N. H. Novel Data-Mining Methodologies for Adverse Drug Event Discovery and Analysis. Schroeder, L. F., Giacherio, D., Gianchandani, R., Engoren, M., Shah, N. H. RegenBase: a knowledge base of spinal cord injury biology for translational research. The goals of this National Center for Biomedical Computing are to: create and maintain a repository of biomedical ontologies and terminologies; build tools and web services to enable the use of ontologies and terminologies in clinical and translational research; educate their trainees and the scientific community broadly about biomedical ontology and ontology-based technology and best practices; and collaborate with a variety of groups who develop and use ontologies and terminologies in biomedicine. Whether the general population might also be at risk has not been addressed.Plasma asymmetrical dimethylarginine (ADMA) is an endogenous inhibitor of nitric oxide synthase. Adrien Coulet, Nigam Shah, Maxime Wack, Mohammad Chawki, Nicolas Jay, et al.. Studies estimate that 21% of prescriptions are off-label, and only 27% of those have evidence of safety and efficacy. �m�~�e+�0E$�Fv�M>�4�?܊M&A}k��w�.D%QJ��8��$��J��c��PN�I�/[�r��x\�_ � �LY'�'�\k�$_�Çq]�F�J���(J��_����Z'_F���G0�փ�2/��6�d#�b���:/�֥�1R)�Q�,�8ȤXGI|��Ԝ� Mq+�&��P��l�I�Z�7E�.�jT�E��M+�Wy�B��!�N�5��� ��)!�ys'tr]�*�\�W4�}����'IX'3�=������Q�d�H���b�Ѝ��F�ُh��0���>a¨��EؼX�����^����)�Q Research indicates that 21% of prescriptions filled are for off-label indications. So, let's talk about hospitals. The Annotator service has access to a large dictionary of biomedical terms derived from the United Medical Language System (UMLS) and NCBO ontologies. The Metathesaurus from the Unified Medical Language System (UMLS) is a widely used ontology resource, which is mostly used in a relational database form for terminology research, mapping and information indexing. The response to an FDA alert for Celexa, characterized by a change in UpToDate search activity, differed considerably from general online media activity. Based on our analysis we also suggest areas of potential improvements for Mgrep. We find that SDAs can attain reasonable predictive accuracy in signaling adverse events. The hemoglobin intervals produced using the data driven approaches consistently had higher positive predictive value and specificity in predicting an iron supplement prescription than the existing intervals. Study subjects were assigned to receive a PPI (Prevacid; 30 mg) or a placebo pill once daily for 4 weeks. We describe an ontology of PGx relationships built starting from a lexicon of key pharmacogenomic entities and a syntactic parse of more than 87 million sentences from 17 million MEDLINE abstracts. More than two-thirds of the genes in the stress cDNA collection have not been identified in previous studies as stress/defense response genes. We develop a method, LIMIT, to use laboratory test results from a clinical database to identify ICD9 codes that are associated with extreme laboratory results, thus automating the a posteriori method. I'm a second year Ph.D. student in the Biomedical Informatics (BMI) Graduate Program at Stanford University (housed in the Department of Biomedical Data Science in Stanford's School of Medicine).I am co-advised by Emma Brunskill (Computer Science) and Nigam Shah … PPIs increase ADMA because they bind to and inhibit dimethylarginine dimethylaminohydrolase, the enzyme that degrades ADMA.We present a plausible biological mechanism to explain the association of PPIs with increased major adverse cardiovascular events in patients with unstable coronary syndromes. The Unified Medical Language System (UMLS) Metathesaurus is widely used for biomedical natural language processing (NLP) tasks. • Research that bridges the latest multimodal measurement technologies with large amounts of electronic healthcare data is increasing; and is where new breakthroughs will occur. View details for DOI 10.1186/2041-1480-4-S1-I1. View details for DOI 10.1007/s40264-015-0352-2, View details for DOI 10.1186/s13326-015-0040-2, View details for DOI 10.1016/j.jbi.2015.10.006. Wang, G., Jung, K., Winnenburg, R., Shah, N. H. Proton pump inhibitors and vascular function: A prospective cross-over pilot study. We have developed analytical and visualization tools to automate the identification of expression profile groups with common gene ontology (GO) annotations based on the sub-cellular localization and function of the proteins encoded by the genes, as well as to automate promoter analysis for such gene groups. Soldatova, L. N., Collier, N., Oellrich, A., Groza, T., Verspoor, K., Rocca-Serra, P., Dumontier, M., Shah, N. H. Implications of non-stationarity on predictive modeling using EHRs. Nigam Shah. Baseline depression severity was the strongest predictor of treatment response for medication and psychotherapy.It is possible to use EHR data to predict a diagnosis of depression up to 12 months in advance and to differentiate between extreme baseline levels of depression. Our workflow had good precision and recall for urinary incontinence (positive predictive value: 0.73 and sensitivity: 0.84).Our data indicate that important patient-centered outcomes, such as urinary incontinence, are being captured in EHRs as free text and highlight the long-standing importance of accurate clinician documentation. Published: August 21, 2020 Hi all, this is the very first post in my new research journal - started as a course requirement for INFSCI: 3005 Introduction to Doctoral Studies. The definition of an HOI is generally considered a complex and time consuming task for health care professionals.In our clinical note-based pharmacovigilance research, we often operate upon potentially hundreds of ontologies at once, expand query inputs, and we also increase the search space over clinical text as well as structured data. The range of publicly available biomedical data is enormous and is expanding fast. To test the association of androgen deprivation therapy (ADT) in the treatment of prostate cancer with subsequent Alzheimer's disease risk.We used a previously validated and implemented text-processing pipeline to analyze electronic medical record data in a retrospective cohort of patients at Stanford University and Mt. This experimentation emphasizes positive results for sensitivity and specificity measures. Juvenile idiopathic arthritis is the most common rheumatic disease in children. A., Bailenson, J., Hancock, J. we can also ask "Which disease (or class of diseases) is over-represented in my set of interesting genes or proteins?". View details for Web of Science ID 000270371700015, View details for PubMedCentralID PMC2745685, View details for Web of Science ID 000257304400014. Using annotations from controlled vocabularies to find meaningful associations. The NCBO Web services (http://www.bioontology.org/wiki/index.php/NCBO_REST_services) enable this functionality and provide a uniform mechanism to access ontologies from a variety of knowledge representation formats, such as Web Ontology Language (OWL) and Open Biological and Biomedical Ontologies (OBO) format. We have applied modern machine learning methods and feature engineering to develop a predictive model for delayed wound healing that uses information collected during routine care in outpatient wound care centers. The key take-home points are: • Translational informatics is ready to revolutionize human health and healthcare using large-scale measurements on individuals. Our study shows that not all events are equally detectable, suggesting that specific events might be monitored more effectively using other data sources. WWW ’14: ACM International Conference on World Wide Web, 2014. A convenient method for leveraging these features for OBO ontologies is by transforming OBO ontologies to OWL.We have developed a methodology for translating OBO ontologies to OWL using the organization of the Semantic Web itself to guide the work. White, R. W., Tatonetti, N. P., Shah, N. H., Altman, R. B., Horvitz, E. Selected papers from the 15th Annual Bio-Ontologies Special Interest Group Meeting. Electronic health records (EHRs) are increasingly being used to complement the FDA Adverse Event Reporting System (FAERS) and to enable active pharmacovigilance. in Computer Science, magna cum laude Minor in Statistics and Machine Learning Projects and Publications G Campagna, A Foryciarz, M Moradshahi, and MS Lam.Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking. We also identified a subset of CHF patients who were prescribed Cilostazol despite its black box warning, and found that it did not increase mortality in this high-risk group of patients.This proof of principle study shows the potential of text-analytics to mine clinical data warehouses to uncover 'natural experiments' such as the use of Cilostazol in CHF patients. The approach reveals that the constructs of OBO can be grouped together to form a similar layer cake. View details for DOI 10.1038/clpt.2012.50, View details for Web of Science ID 000304245800019, View details for DOI 10.1136/amiajnl-2012-000969, View details for Web of Science ID 000314151400002. Kwong, C., Ling, A. Y., Crawford, M. H., Zhao, S. X., Shah, N. H. Callahan, A., Shah, N. H., Sheikh, A., Cresswell, K. M., Wright, A., Bates, D. W. Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop. We use a set of over 200 publicly available ontologies contributed by researchers in various domains to annotate the elements in these resources. Our emphasis is on highlighting the key events in the field and pointing at promising research areas for the future. HyQue hypotheses and data are available at http://semanticscience.org/projects/hyque. The resources come from a variety of repositories maintained by organizations from around the world. Therefore, analyzing patterns of off-label drug usage in the clinical setting is an important step toward reducing the incidence of adverse events and for improving patient safety. We investigated whether medications that increase cAMP stability or synthesis selectively stimulate β-cell growth. The variability and the complexity of natural language in expressing similar relationships causes the extracted relationships to be highly heterogeneous, which makes the construction of knowledge bases difficult and poses a challenge in using these for data mining or question answering.We report on the semi-automatic construction of the PHARE relationship ontology (the PHArmacogenomic RElationships Ontology) consisting of 200 curated relations from over 40,000 heterogeneous relationships extracted via text-mining. Annotation Analysis for Testing Drug Safety Signals using Unstructured Clinical Notes. This paper presents a novel method based on Formal Concept Analysis (FCA) and Semantic Query Expansion (SQE) to assist the end-user in defining their seed queries and in refining the expanded search space that it encompasses.We evaluate our method over a gold-standard corpus from the 2008 i2b2 Obesity Challenge. LePendu, P., Iyer, S. V., Fairon, C., Shah, N. H. Analyzing patterns of drug use in clinical notes for patient safety. Finally, four temporal trends are identified among research topics.This work utilizes disease ontology (DO)-based annotation to profile effectively the landscape of biomedical research activity. PHARE is available at http://purl.bioontology.org/ontology/PHARE. Post-market drug safety surveillance is hugely important and is a significant challenge despite the existence of adverse event (AE) reporting systems. Recent progress in syntactic NLP parsing in the context of a large corpus of pharmacogenomics text provides new opportunities for automated relationship extraction. Ransohoff, J. D., Nikfarjam, A., Jones, E., Loew, B., Kwong, B. Y., Sarin, K. Y., Shah, N. H. Inpatient Clinical Order Patterns Machine-Learned From Teaching Versus Attending-Only Medical Services. In comparison, OWL is a Semantic Web language, and is supported by the World Wide Web consortium together with integral query languages, rule languages and distributed infrastructure for information interchange. The publicly available US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) data requires substantial curation before they can be used appropriately, and applying different strategies for data cleaning and normalization can have material impact on analysis results. Undetected adverse drug reactions (ADRs) pose a major burden on the health system. This note describes our work, which wraps the National Center for Biomedical Ontology (NCBO) Annotator-an ontology-based annotation service-to make it available as a component in UIMA workflows.This wrapper is freely available on the web at http://bionlp-uima.sourceforge.net/ as part of the UIMA tools distribution from the Center for Computational Pharmacology (CCP) at the University of Colorado School of Medicine. Recent pre-clinical results suggest that this risk might extend to subjects without any prior history of cardiovascular disease. NeurIPS ML for Health (ML4H) Workshop, 2019. We evaluate and discuss the results of several recommendation heuristics in the context of three real world use cases. The average improvement ranged from 31% to almost threefold for different evaluation categories. Mort, M., Evani, U. S., Krishnan, V. G., Kamati, K. K., Baenziger, P. H., Bagchi, A., Peters, B. J., Sathyesh, R., Li, B., Sun, Y., Xue, B., Shah, N. H., Kann, M. G., Cooper, D. N., Radivojac, P., Mooney, S. D. Selected papers from the 12th annual Bio-Ontologies meeting. The result of such integration is a repository of normalized biomedical relationships, named PHARE-KB, which can be queried using Semantic Web technologies such as SPARQL and can be visualized in the form of a biological network.The PHARE ontology serves as a common semantic framework to integrate more than 40,000 relationships pertinent to pharmacogenomics. Ph.D. Student in Biomedical Informatics . NIGAM H. SHAH, MBBS, PhD . View details for DOI 10.1177/1358863X14568444, View details for Web of Science ID 000359414300001, View details for PubMedCentralID PMC4572842. The system processes the text metadata of diverse resource elements such as gene expression data sets, descriptions of radiology images, clinical-trial reports, and PubMed article abstracts to annotate and index them with concepts from appropriate ontologies. Burn, E., You, S. C., Sena, A. G., Kostka, K., Abedtash, H., Abrahao, M. T., Alberga, A., Alghoul, H., Alser, O., Alshammari, T. M., Aragon, M., Areia, C., Banda, J. M., Cho, J., Culhane, A. C., Davydov, A., DeFalco, F. J., Duarte-Salles, T., DuVall, S., Falconer, T., Fernandez-Bertolin, S., Gao, W., Golozar, A., Hardin, J., Hripcsak, G., Huser, V., Jeon, H., Jing, Y., Jung, C. Y., Kaas-Hansen, B. S., Kaduk, D., Kent, S., Kim, Y., Kolovos, S., Lane, J. C., Lee, H., Lynch, K. E., Makadia, R., Matheny, M. E., Mehta, P. P., Morales, D. R., Natarajan, K., Nyberg, F., Ostropolets, A., Park, R. W., Park, J., Posada, J. D., Prats-Uribe, A., Rao, G., Reich, C., Rho, Y., Rijnbeek, P., Schilling, L. M., Schuemie, M., Shah, N. H., Shoaibi, A., Song, S., Spotnitz, M., Suchard, M. A., Swerdel, J. N., Vizcaya, D., Volpe, S., Wen, H., Williams, A. E., Yimer, B. BMC Bioinformatics 2009, 10(Suppl 2):S1). Androgen Deprivation Therapy and Subsequent Dementia-Reply. A wide range of text genres is considered, such as scientific publications (abstracts, as well as full texts), patent texts and clinical narratives. Our Java implementation of the mapping is part of the official Gene Ontology project source.Our transformation system provides a lossless roundtrip mapping for OBO ontologies, i.e. 4/17/2007 Nigam Shah 1060 Continentals way, Apt 408 Belmont, CA 94002 (650) 598-9531 EDUCATION 2005 Ph.D. Integrative Biosciences (IBIOS) The Pennsylvania State University, University Park, PA Nikfarjam, A., Ransohoff, J. D., Callahan, A., Polony, V., Shah, N. H. Development and Performance of the Pulmonary Embolism Result Forecast Model (PERFORM) for Computed Tomography Clinical Decision Support. Integration and publication of heterogeneous text-mined relationships on the Semantic Web. We provide usage guidance and empirical support for the reference standard by applying it to analyze two data sources commonly mined for drug safety surveillance. Laurence Baker. The service makes a decision based on three criteria. Gaskin, G. L., Pershing, S., Cole, T. S., Shah, N. H. Statin Intensity or Achieved LDL? Chronic uveitis is a common and serious comorbid condition of juvenile idiopathic arthritis, with insidious presentation and potential to cause blindness. They also enable localization of individual patients within the phenotypic 'landscape' of each disorder.Because EMRs reflect the realities of patient care rather than idealized conceptualizations of disease states, we argue that automated EMR mining can help define the boundaries between different mental illnesses, facilitate cohort building for clinical and genomic studies, and reveal how clear expert-defined disease boundaries are in practice. Confronted with rapidly accumulating data, researchers currently do not have the software tools to undertake the required information integration tasks.We present HyQue, a Semantic Web tool for querying scientific knowledge bases with the purpose of evaluating user submitted hypotheses. Source code is available to interested researchers under a no-cost license. We have carried out a detailed analysis of the changes in gene expression levels in Arabidopsis thaliana ecotype Columbia (Col-0) plants during and for 6 h after exposure to ozone (O3) at 350 parts per billion (ppb) for 6 h. This O3 exposure is sufficient to induce a marked transcriptional response and an oxidative burst, but not to cause substantial tissue damage in Col-0 wild-type plants and is within the range encountered in some major metropolitan areas. A formal concept analysis and semantic query expansion cooperation to refine health outcomes of interest. Stanford University pathologists, researchers and their collaborators worldwide use TMAD for designing, viewing, scoring and analyzing their tissue microarrays. Sanya’s research journal . Over a mean follow up of 4.2 years, we observed no association between Cilostazol use and any major adverse cardiovascular event including stroke (OR = 1.13, CI [0.82, 1.55]), myocardial infarction (OR = 1.00, CI [0.71, 1.39]), or death (OR = 0.86, CI [0.63, 1.18]). The programs are designed primarily for Arabidopsis thaliana researchers, but can be adapted readily for other model systems. Liu, Y., Coulet, A., LePendu, P., Shah, N. H. Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis. We have used data from the Stanford Hospital to attempt to address these issues. We have built a microarray database, StressDB, for management of microarray data from our studies on stress-modulated genes in Arabidopsis. Our approach provides the basis for ontology-driven data integration for translational research on gene and protein expression data. Liu, H., Dou, D., Jin, R., LePendu, P., Shah, N. Automated Detection of Systematic Off-label Drug Use in Free Text of Electronic Medical Records. Marafino, B. J., Dudley, R. A., Shah, N. H., Chen, J. H. Inferring Physical Function from Wearable Activity Monitors: Analysis of Activity Data from Patients with Knee Osteoarthritis. After pre-filtering the associations by removing those found in public databases, we devised a ranking for associations based on the support from the remaining sources, and evaluated the results of this rank-based prioritization.We collected information for 5983 putative EHR-derived drug-drug-event associations involving 345 drugs and ten adverse events from four data sources and four prediction methods. Nigam Shah Learning from past patient data to provide better care. Daniel L. Rubin, Nigam H. Shah and Natalya F. Noy ... A CV provides a list of concepts and text descriptions of their meaning and a list of lexical terms correspond-ing to … We used two datasets: 35,000 patients (5000 depressed) from the Palo Alto Medical Foundation and 5651 patients treated for depression from the Group Health Research Institute.Our models are able to predict a future diagnosis of depression up to 12 months in advance (area under the receiver operating characteristic curve (AUC) 0.70-0.80). We show that these methods flag adverse events early (in most cases before an official alert), allow filtering of spurious signals by adjusting for potential confounding, and compile prevalence information. Dhaval Shah. We also investigate and discuss Reactome's potential for supporting computer-aided inference tools.The case study described in this work demonstrates that it is possible to use our model theory based approach to identify problems one might encounter using a knowledge-base to support hypothesis evaluation tools. BibTeX @INPROCEEDINGS{Lee07usingannotations, author = {Woei-jyh Lee and Louiqa Raschid and Padmini Srinivasan and Nigam Shah and Daniel Rubin and Natasha Noy}, title = {Using annotations from controlled vocabularies to find meaningful associations}, booktitle = {In Fourth International Workshop on Data Integration in the Life Sciences (DILS 2007}, year = {2007}, pages = {27--29}} Feasibility of prioritizing drug-drug-event associations found in electronic health records. This simple format lacks the knowledge representation (KR) capabilities to represent unambiguously semantic relationships between each field. Of concern, this adverse mechanism is also likely to extend to the general population using PPIs. It has a simple and intuitive architecture and has been designed for cDNA microarray technology users. The key attributes that distinguish the two sub-groups appear to have support in published literature clinical practice related to CKD. This study introduces ontology-based annotation as a method to overcome this difficulty. A., Stewart Agras, W., Fei-Fei, L., Shah, N. H. Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework. View details for PubMedCentralID PMC3861917. Powers, S., Qian, J., Jung, K., Schuler, A., Shah, N. H., Hastie, T., Tibshirani, R. Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations. Sung, L., Corbin, C., Steinberg, E., Vettese, E., Campigotto, A., Lecce, L., Tomlinson, G. A., Shah, N. Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study. Sinai hospitals. Tian, Y., Kim, Y., Yang, J., Huser, V., Jin, P., Lambert, C., Park, H., Park, R., Rijnbeek, P., Van Zandt, M., Vashisht, R., Wu, Y., You, S., Duke, J., Hripcsak, G., Madigan, D., Reich, C., Shah, N., Ryan, P., Schuemie, M., Suchard, M. The Impact of Acute Organ Dysfunction on Long-Term Survival in Sepsis. Influence of age on androgen deprivation therapy-associated Alzheimer's disease. ��T��x�����;T�" +�* �>���,ph3����l���D�. Harpaz, R., Callahan, A., Tamang, S., Low, Y., Odgers, D., Finlayson, S., Jung, K., LePendu, P., Shah, N. H. Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art, Toward Enhanced Pharmacovigilance Using Patient-Generated Data on the Internet. O. FFICE ADDRESS: Stanford Center for Biomedical Informatics Research .

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