With an eye to AI and autonomous diagnosis. Add co-authors Co-authors. H-Index & Metrics. Lehrnbecher T, Sung L. Anti-infective prophylaxis in pediatric patients with acute myeloid leukemia. 1994, 25 (11): 1172-1178. Social Media; Email; Share Access; Share this article via social media. 7 Citations. Correspondence to Nigam H Shah. Done. John P A Ioannidis, John P A Ioannidis Department of Medicine, Stanford University, Stanford, California, USA. 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. Nigam has 17 jobs listed on their profile. Nat Biotechnol. Upload PDF. Google Scholar. 2007;110(10):3532–9. Shah NH. 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. Article CAS PubMed Google Scholar 3. Biomedical Informatics Insights 2019 10.1177/1178222618818478 Share. Upload PDF. Google Scholar; Ajay Kohli and Saurabh Jha. Google H-index: 58: Number of Google Citations: 16,106: Number of Articles on DBLP: 144: External Links. 4. Google Scholar . Biomedical Informatics Insights 2019 10.1177/1178222618818478 Download Citation. Done. 8072 Accesses. His research focuses on developing ontology-based approaches to integrate diverse information types for reasoning about biological systems. Harpaz R, Dumouchel W, Lependu P, Bauer-Mehren A, Ryan P, Shah NH. Article CAS PubMed Google Scholar 5. Metrics details. Halevy A, Norvig P, Pereira F. The unreasonable effectiveness of data. Sarah Poole and Nigam Shah. Email address for updates. Professor of Philosophy, Biomedical Informatics, and Computer Science, University at … Verified email at buffalo.edu. If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. 2. Email address for updates. New articles by this author. Meta-Research Innovation Center at Stanford, Stanford University, Stanford, California, USA. Google Scholar Cross Ref Hum Pathol. Science. Google Scholar. PubMed CAS Article Google Scholar 4. doi: 10.1038/clpt.2013.24. Clin Pharmacol Ther. 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. Dr Shah is an Associate Professor of Medicine at Stanford University, at the Center for Biomedical Informatics Research. Google Scholar. Search for other works by this author on: Oxford Academic. Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system. The ones marked * may be different from the article in the profile. The past year has been an interesting one for those interested in reproducible research. npj Digital Medicine 1, 1 (Aug. 2018), 1--3. 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. doi: 10.1038/nbt.2757 Crossref Medline Google Scholar; 14. N Engl J Med. ‪Professor of Biomedical Informatics Research, Stanford University‬ - ‫מצוטט/ת ב-38,784 מאמרים‬ - ‪Intelligent systems‬ - ‪ontology‬ - ‪ontologies‬ - ‪biomedical informatics‬ - ‪open science‬ 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 … Although text PDF Restore Delete Forever. 21 Altmetric. Share. 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. Journal of the American College of Radiology 15, 3 (2018), 535--537. His research uses machine learning, text-mining, and prior knowledge in medical ontologies to enable the learning health system. New articles related to this author's research. Add co-authors Co-authors. View Nigam Shah’s profile on LinkedIn, the world's largest professional community. 15378276 [arxiv]NIHMS150003 Google Scholar Cross Ref 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. Rave Harpaz, William DuMouchel, Nigam H Shah, David Madigan, Patrick Ryan, Carol Friedman, and Author Manuscript. New citations to this author. 2013; 31:1095–1097. The site facilitates research and collaboration in academic endeavors.