Peter Szolovits
Affiliations: | Massachusetts Institute of Technology, Cambridge, MA, United States |
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"Peter Szolovits"Children
Sign in to add traineeIsaac Kohane | grad student | (Neurotree) | |
William Swartout | grad student | 1981 | MIT |
Michael P. Wellman | grad student | 1985-1988 | MIT |
Milos Hauskrecht | grad student | 1997 | MIT |
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Publications
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Zack T, Lehman E, Suzgun M, et al. (2023) Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study. The Lancet. Digital Health. 6: e12-e22 |
Zhang HG, Hejblum BP, Weber GM, et al. (2021) ATLAS: an automated association test using probabilistically linked health records with application to genetic studies. Journal of the American Medical Informatics Association : Jamia |
Luo Y, Eran A, Palmer N, et al. (2020) A multidimensional precision medicine approach identifies an autism subtype characterized by dyslipidemia. Nature Medicine |
Jin D, Szolovits P. (2020) Advancing PICO Element Detection in Biomedical Text via Deep Neural Networks. Bioinformatics (Oxford, England) |
Zhang Y, Cai T, Yu S, et al. (2019) High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP). Nature Protocols |
Liao KP, Sun J, Cai TA, et al. (2019) High-throughput multimodal automated phenotyping (MAP) with application to PheWAS. Journal of the American Medical Informatics Association : Jamia. 26: 1255-1262 |
Sun M, Baron J, Dighe A, et al. (2019) Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes and Structured Multivariate Physiological Measurements. Studies in Health Technology and Informatics. 264: 368-372 |
McDermott M, Wang J, Zhao WN, et al. (2019) Deep Learning Benchmarks on L1000 Gene Expression Data. Ieee/Acm Transactions On Computational Biology and Bioinformatics |
Hejblum BP, Weber GM, Liao KP, et al. (2019) Probabilistic record linkage of de-identified research datasets with discrepancies using diagnosis codes. Scientific Data. 6: 180298 |
Szolovits P. (2019) AI for the M.D Science. 363: 1402-1402 |