Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system. Google Scholar; Ajay Kohli and Saurabh Jha. Google Scholar . PubMed CAS Article Google Scholar 4. 3. Biomedical Informatics Insights 2019 10.1177/1178222618818478 Share. His research uses machine learning, text-mining, and prior knowledge in medical ontologies to enable the learning health system. Add co -authors Co-authors. Biomedical Informatics Insights 2019 10.1177/1178222618818478 Download Citation. Correspondence to Nigam H Shah. NH Shah, P LePendu, A Bauer-Mehren, etal: Proton pump inhibitor usage and the risk of myocardial infarction in the general population PLoS One 10: e0124653, 2015 Crossref, Medline, Google Scholar 21. Done. Google Scholar Corresponding author. Email address for updates. Email address for updates. 10.1016/1369-5266(88)80053-0. The author declares no competing financial interests. ‪Associate Professor of Medicine, Stanford University‬ - ‪Παρατίθεται από 15.658‬ - ‪ontology‬ - ‪data mining‬ - ‪medical informatics‬ - ‪Biomedical Informatics‬ doi: 10.1038/nbt.2757 Crossref Medline Google Scholar; 14. Daisy Yi Ding, Chloé Simpson, Stephen Pfohl, Dave C. Kale, Kenneth Jung, Nigam H. Shah: The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data. Medline Google Scholar; 13. New articles by this author. 10.1126/science.276.5313.726. PubMed CAS Article Google Scholar 5. The ones marked * may be different from the article in the profile. Done. CAS Article Google Scholar 3. 1997, 276: 726-733. Baker B, Zambryski P, Staskawicz B, Dinesh-Kumar SP: Signaling in plant-microbe interactions. Mining the ultimate phenome repository. The ones marked * may be different from the article in the profile. Search for other works by this author on: Oxford Academic. CoRR abs/1808.03331 (2018) Associate Professor Nigam Shah Stanford University, USA. Google Scholar. Nigam Shah Stanford University United States: G2R World Ranking 1844th. Clinical Pharmacology and Therapeutics 91, 6 (jun 2012), 1010--1021. Metrics details. Sarah Poole and Nigam Shah. Dong X: SA, JA, ethylene, and disease resistance in plants. npj Digital Medicine 1, 1 (Aug. 2018), 1--3. 2009;24(2):8–12. 1994, 25 (11): 1172-1178. Google H-index: 58: Number of Google Citations: 16,106: Number of Articles on DBLP: 144: External Links. With an eye to AI and autonomous diagnosis. Novel Data Mining Methodologies for Adverse Drug Event Discovery and Analysis. Hoboken: Wiley; 2012. Google Scholar. Dr Shah holds an MBBS from Baroda Medical College, India, a PhD from Penn … Upload PDF. 8072 Accesses. Journal of the American College of Radiology 15, 3 (2018), 535--537. John P A Ioannidis, John P A Ioannidis Department of Medicine, Stanford University, Stanford, California, USA. Shah NH. This Element presents a philosophical exploration of the concept of the 'model organism' in contemporary biology. 1998, 1: 316-323. The site facilitates research and collaboration in academic endeavors. Simply select your manager software from the list below and click on download. 21 Altmetric. Nigam Shah at the Stanford School of Medicine has written about the effect that limit has had on empirical research. Sanya’s research journal . Abstract. Sarah Poole and Nigam Shah. Franks B. Taming the big data tidal wave: finding opportunities in huge data streams with advanced analytics. Nigam has 17 jobs listed on their profile. 2013; 31:1095–1097. Thinking about model organisms enables us to examine how living organisms have been brought into the laboratory and used to gain a better understanding of biology, and to explore the research practices, commitments, and norms underlying this understanding. Article Google Scholar 2. 2018. H-Index & Metrics. Halevy A, Norvig P, Pereira F. The unreasonable effectiveness of data. Social Media; Email; Share Access; Share this article via social media. Nat Biotechnol. Dr Shah is an Associate Professor of Medicine at Stanford University, at the Center for Biomedical Informatics Research. Email address for updates. Article CAS PubMed Google Scholar 5. Google Scholar Digital Library; Pearse A Keane and Eric J Topol. SARS-CoV-2-specific antibodies, particularly those preventing viral spike receptor binding domain (RBD) interaction with host angiotensin-converting enzyme 2 (ACE2) receptor, could offer protective immunity, and may affect clinical outcomes of COVID-19 patients. Mukai M: Immunohistochemical localization of S-100 protein and peripheral nerve myelin proteins (P2 protein, … Follow this author. Upload PDF. Meta-Research Innovation Center at Stanford, Stanford University, Stanford, California, USA. Google Scholar. Ethics declarations . This "Cited by" count includes citations to the following articles in Scholar. New articles related to this author's research . Intell Syst IEEE. Blood. less than 1 minute read. Compared with other leading causes of death, gun violence was associated with less funding and fewer publications than predicted based on mortality rate ().Gun violence had 1.6% of the funding predicted ($1.4 billion predicted, $22 million observed) and had 4.5% of the volume of publications predicted (38 897 predicted, 1738 observed) from the regression analyses. Why CAD failed in mammography. Upload PDF. Professor of Philosophy, Biomedical Informatics, and Computer Science, University at … Verified email at buffalo.edu. New citations to this author. 2012. Hum Pathol. DuMouchel W. Multivariate bayesian logistic regression for analysis of … New citations to this author. 2018. Harpaz R, Dumouchel W, Lependu P, Bauer-Mehren A, Ryan P, Shah NH. Article CAS PubMed Google Scholar 3. 10.1016/0046-8177(94)90033-7. 2013;93(6):539–46. Nigam Shah 2 BMC Cancer volume ... Google Scholar 2. Follow this author. Department of Statistics, Stanford University , Stanford, California, USA. View Nigam Shah’s profile on LinkedIn, the world's largest professional community. New articles by this author. The past year has been an interesting one for those interested in reproducible research. Nigam H. Shah is an assistant professor in the Center for Biomedical Informatics Research, Stanford University School of Medicine. If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. 2007;110(10):3532–9. Kurtin PJ, Bonin DM: Immunohistochemical demonstration of the lysosome-associated glycoprotein CD68 (KP-1) in granular cell tumors and schwannomas. Google Scholar. Google Scholar Profile; Personal Website for Nigam Shah; List of Publications on DBLP. New articles by this author. Done. PDF Restore Delete Forever. Cited by 36010 Article CAS PubMed Google Scholar 4. Nigam Shah 11, Arfon Smith 12, Gaël Varoquaux 13 & Egon Willighagen 14 Source Code for Biology and Medicine volume 7, Article number: 2 (2012) Cite this article. New articles related to this author's research. Machine learning and prediction in medicine - beyond the peak of inflated expectations. PDF Restore Delete Forever. PDF Restore Delete Forever. 2. 7 Citations. PubMed. His research focuses on developing ontology-based approaches to integrate diverse information types for reasoning about biological systems. Add co-authors Co-authors. The ones marked * may be different from the article in the profile. Lehrnbecher T, Sung L. Anti-infective prophylaxis in pediatric patients with acute myeloid leukemia. G2R United States Ranking 1025th. 15378276 [arxiv]NIHMS150003 Google Scholar Cross Ref This "Cited by" count includes citations to the following articles in Scholar. Published: August 21, 2020 Hi all, this is the very first post in my new research journal - started as a course requirement for … Add co-authors Co-authors. Chen JH, Asch SM. Nigam H. Shah, MBBS, PhD is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). Sung L, Lange BJ, Gerbing RB, Alonzo TA, Feusner J. Microbiologically documented infections and infection-related mortality in children with acute myeloid leukemia. CrossRef Google Scholar. Follow this author . ‪Professor of Biomedical Informatics Research, Stanford University‬ - ‫מצוטט/ת ב-38,784 מאמרים‬ - ‪Intelligent systems‬ - ‪ontology‬ - ‪ontologies‬ - ‪biomedical informatics‬ - ‪open science‬ Competing interests. doi: 10.1038/clpt.2013.24. Early identification of symptoms and comorbidities most predictive of COVID-19 is critical to identify infection, guide policies to effectively contain the pandemic, and improve health systems’ response. We analyzed 625 serial plasma samples from 40 hospitalized COVID-19 patients and 170 SARS-CoV-2-infected outpatients … N Engl J Med. Google Scholar Cross Ref New citations to this author. Science. This "Cited by" count includes citations to the following articles in Scholar. The e-mail addresses that you supply to use this service will not be used for any other purpose without your consent. Share. Nigam H. Shah, Nigam H. Shah Nigam H. Shah is a research scientist at the Stanford Center for Biomedical Informatics group and member of the National Center for Biomedical Ontology. Curr Opin Plant Biol. Although text New articles related to this author's research. Rave Harpaz, William DuMouchel, Nigam H Shah, David Madigan, Patrick Ryan, Carol Friedman, and Author Manuscript. A major challenge for functional and comparative genomics resource development is the extraction of data from the biomedical literature. 4. Clin Pharmacol Ther. PubMed CAS Article Google Scholar …

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