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Patricia H. Kovatch
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2020 – today
- 2024
- [j6]Wonsuk Oh, Pushkala Jayaraman, Pranai Tandon, Udit S. Chaddha, Patricia H. Kovatch, Alexander W. Charney, Benjamin S. Glicksberg, Girish N. Nadkarni:
A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19. Artif. Intell. Medicine 148: 102750 (2024) - [j5]Akhil Vaid, Son Q. Duong, Joshua Lampert, Patricia H. Kovatch, Robert Freeman
, Edgar Argulian, Lori Croft, Stamatios Lerakis
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. J. Am. Medical Informatics Assoc. 31(9): 2097-2102 (2024) - [j4]Faris F. Gulamali
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. npj Digit. Medicine 7(1) (2024) - [j3]Joy Jiang
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. npj Digit. Medicine 7(1) (2024) - [i3]Akhil Vaid, Joshua Lampert, Juhee Lee, Ashwin Sawant, Donald Apakama, Ankit Sakhuja, Ali Soroush, Denise Lee, Isotta Landi, Nicole Bussola, Ismail Nabeel, Robbie Freeman, Patricia H. Kovatch, Brendan G. Carr, Benjamin S. Glicksberg, Edgar Argulian, Stamatios Lerakis, Monica Kraft, Alexander Charney, Girish N. Nadkarni:
Generative Large Language Models are autonomous practitioners of evidence-based medicine. CoRR abs/2401.02851 (2024) - 2023
- [i2]Gabriele Campanella, Ricky Kwan, Eugene Fluder, Jennifer Zeng, Aryeh Stock
Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images. CoRR abs/2310.07033 (2023) - [i1]Faris F. Gulamali, Ashwin S. Sawant, Lora Liharska, Carol R. Horowitz, Lili Chan, Patricia H. Kovatch, Ira Hofer, Karandeep Singh, Lynne D. Richardson, Emmanuel Mensah, Alexander W. Charney, David L. Reich, Jianying Hu, Girish N. Nadkarni:
An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets. CoRR abs/2311.03425 (2023) - 2022
- [j2]Faris F. Gulamali
Autoencoders for sample size estimation for fully connected neural network classifiers. npj Digit. Medicine 5 (2022) - 2020
- [c3]Patricia H. Kovatch, Lili Gai, Hyung Min Cho, Eugene Fluder, Dansha Jiang:
Optimizing High-Performance Computing Systems for Biomedical Workloads. IPDPS Workshops 2020: 183-192
2010 – 2019
- 2018
- [j1]Khader Shameer, M. Mercedes Perez-Rodriguez, Roy Bachar, Li Li
Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining. BMC Medical Informatics Decis. Mak. 18(S-3): 79:1-79:11 (2018) - 2017
- [c2]Khader Shameer, Kipp W. Johnson, Alexandre Yahi, Riccardo Miotto, Li Li, Doran Ricks, Jebakumar Jebakaran, Patricia H. Kovatch, Partho P. Sengupta, Annetine Gelijns, Alan Moskovitz, Bruce Darrow, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Deborah F. Pinney, Joel T. Dudley:
Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. PSB 2017: 276-287 - 2015
- [c1]Patricia H. Kovatch, Anthony Costa
Big omics data experience. SC 2015: 39:1-39:12
Coauthor Index
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