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