Simply select your manager software from the list below and click on download. Google Scholar Profile; Personal Website for Nigam Shah; List of Publications on DBLP. Machine learning and prediction in medicine - beyond the peak of inflated expectations. Biomedical Informatics Insights 2019 10.1177/1178222618818478 Share. Although text Associate Professor of Medicine, Stanford University - Παρατίθεται από 15.658 - ontology - data mining - medical informatics - Biomedical Informatics John P A Ioannidis, John P A Ioannidis Department of Medicine, Stanford University, Stanford, California, USA. Competing interests. Google Scholar Corresponding author. H-Index & Metrics. doi: 10.1038/nbt.2757 Crossref Medline Google Scholar; 14. Sung L, Lange BJ, Gerbing RB, Alonzo TA, Feusner J. Microbiologically documented infections and infection-related mortality in children with acute myeloid leukemia. PubMed CAS Article Google Scholar 5. Google H-index: 58: Number of Google Citations: 16,106: Number of Articles on DBLP: 144: External Links. New articles related to this author's research. Intell Syst IEEE. If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Article Google Scholar 2. 2. 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. Nat Biotechnol. Clin Pharmacol Ther. 3. Rave Harpaz, William DuMouchel, Nigam H Shah, David Madigan, Patrick Ryan, Carol Friedman, and Author Manuscript. The past year has been an interesting one for those interested in reproducible research. Correspondence to Nigam H Shah. less than 1 minute read. New citations to this author. 2013;93(6):539–46. Mining the ultimate phenome repository. 10.1016/1369-5266(88)80053-0. The ones marked * may be different from the article in the profile. Done. Google Scholar Cross Ref Shah NH. View Nigam Shah’s profile on LinkedIn, the world's largest professional community. Associate Professor Nigam Shah Stanford University, USA. 2012. Harpaz R, Dumouchel W, Lependu P, Bauer-Mehren A, Ryan P, Shah NH. 7 Citations. Science. Share. PubMed. Follow this author. New articles by this author. 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. Department of Statistics, Stanford University , Stanford, California, USA. Article CAS PubMed Google Scholar 3. Nigam has 17 jobs listed on their profile. Abstract. PubMed CAS Article Google Scholar … New citations to this author. The ones marked * may be different from the article in the profile. 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). PDF Restore Delete Forever. Kurtin PJ, Bonin DM: Immunohistochemical demonstration of the lysosome-associated glycoprotein CD68 (KP-1) in granular cell tumors and schwannomas. 2018. npj Digital Medicine 1, 1 (Aug. 2018), 1--3. Sarah Poole and Nigam Shah. Dong X: SA, JA, ethylene, and disease resistance in plants. With an eye to AI and autonomous diagnosis. New articles by this author. Novel Data Mining Methodologies for Adverse Drug Event Discovery and Analysis. DuMouchel W. Multivariate bayesian logistic regression for analysis of … Google Scholar. Meta-Research Innovation Center at Stanford, Stanford University, Stanford, California, USA. 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. doi: 10.1038/clpt.2013.24. Google Scholar; Ajay Kohli and Saurabh Jha. Published: August 21, 2020 Hi all, this is the very first post in my new research journal - started as a course requirement for … CAS Article Google Scholar 3. Add co -authors Co-authors. 1994, 25 (11): 1172-1178. 21 Altmetric. Google Scholar Digital Library; Pearse A Keane and Eric J Topol. Sanya’s research journal . N Engl J Med. 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. His research focuses on developing ontology-based approaches to integrate diverse information types for reasoning about biological systems. Clinical Pharmacology and Therapeutics 91, 6 (jun 2012), 1010--1021. 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. Add co-authors Co-authors. 1997, 276: 726-733. PDF Restore Delete Forever. Halevy A, Norvig P, Pereira F. The unreasonable effectiveness of data. PubMed CAS Article Google Scholar 4. Curr Opin Plant Biol. 1998, 1: 316-323. Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system. The e-mail addresses that you supply to use this service will not be used for any other purpose without your consent. Medline Google Scholar; 13. Article CAS PubMed Google Scholar 5. Professor of Philosophy, Biomedical Informatics, and Computer Science, University at … Verified email at buffalo.edu. This "Cited by" count includes citations to the following articles in Scholar. Nigam Shah Stanford University United States: G2R World Ranking 1844th. Upload PDF. Hum Pathol. New citations to this author. Google Scholar. Search for other works by this author on: Oxford Academic. Follow this author. Google Scholar. 2007;110(10):3532–9. 2013; 31:1095–1097. 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. Nigam H. Shah is an assistant professor in the Center for Biomedical Informatics Research, Stanford University School of Medicine. 2018. Social Media; Email; Share Access; Share this article via social media. Lehrnbecher T, Sung L. Anti-infective prophylaxis in pediatric patients with acute myeloid leukemia. Blood. Chen JH, Asch SM. New articles by this author. Sarah Poole and Nigam Shah. Follow this author . Email address for updates. Dr Shah is an Associate Professor of Medicine at Stanford University, at the Center for Biomedical Informatics Research. Metrics details. We analyzed 625 serial plasma samples from 40 hospitalized COVID-19 patients and 170 SARS-CoV-2-infected outpatients … Add co-authors Co-authors. The author declares no competing financial interests. Nigam Shah at the Stanford School of Medicine has written about the effect that limit has had on empirical research. New articles related to this author's research.