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