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