Patricia H. Kovatch

14 papers A 1Misc 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A distributional reinforcement learning model for optimal glucose control after cardiac surgery.
npj Digit. Medicine
Jacob Desman, Zhang-Wei Hong, Moein Sabounchi, Ashwin S. Sawant, Jaskirat Gill, Ana C. Costa, Gagan Kumar, Rajeev Sharma, Arpeta Gupta, Paul McCarthy, Veena Nandwani, Doug Powell, Alexandra Carideo, Donnie Goodwin, Sanam Ahmed, Umesh Gidwani, Matthew A. Levin, Robin Varghese, Farzan Filsoufi, Robert Freeman, Avniel Shetreat-Klein, Alexander W. Charney, Ira S. Hofer, Lili Chan, David Reich, Patricia H. Kovatch, Roopa Kohli-Seth, Monica Kraft, Pulkit Agrawal, John A. Kellum, Girish N. Nadkarni, Ankit Sakhuja
2025 J jnl
A scalable framework for benchmark embedding models in semantic health-care tasks.
J. Am. Medical Informatics Assoc.
Shelly Soffer, Mahmud Omar, Moran Gendler, Benjamin S. Glicksberg, Patricia H. Kovatch, Orly Efros, Robert Freeman, Alexander W. Charney, Girish N. Nadkarni, Eyal Klang
2024 J jnl
A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19.
Artif. Intell. Medicine
Wonsuk Oh, Pushkala Jayaraman, Pranai Tandon, Udit S. Chaddha, Patricia H. Kovatch, Alexander W. Charney, Benjamin S. Glicksberg, Girish N. Nadkarni
2024 J jnl
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension.
npj Digit. Medicine
Faris F. Gulamali, Pushkala Jayaraman, Ashwin S. Sawant, Jacob Desman, Benjamin Fox, Annette Chang, Brian Y. Soong, Naveen Arivazagan, Alexandra S. Reynolds, Son Q. Duong, Akhil Vaid, Patricia H. Kovatch, Robert Freeman, Ira S. Hofer, Ankit Sakhuja, Neha S. Dangayach, David S. Reich, Alexander W. Charney, Girish N. Nadkarni
2024 J jnl
Generative Large Language Models are autonomous practitioners of evidence-based medicine.
CoRR
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
2024 J jnl
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports.
J. Am. Medical Informatics Assoc.
Akhil Vaid, Son Q. Duong, Joshua Lampert, Patricia H. Kovatch, Robert Freeman, Edgar Argulian, Lori Croft, Stamatios Lerakis, Martin Goldman, Rohan Khera, Girish N. Nadkarni
2024 J jnl
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population.
npj Digit. Medicine
Joy Jiang, Ha My Thi Vy, Alexander Charney, Patricia H. Kovatch, Vivek Reddy, Pushkala Jayaraman, Ron Do, Rohan Khera, Sumeet Chugh, Deepak L. Bhatt, Akhil Vaid, Joshua Lampert, Girish N. Nadkarni
2023 J jnl
An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets.
CoRR
Faris F. Gulamali, Ashwin S. Sawant, Lora Liharska, Carol R. Horowitz, Lili Chan, Patricia H. Kovatch, Ira S. Hofer, Karandeep Singh, Lynne D. Richardson, Emmanuel Mensah, Alexander W. Charney, David L. Reich, Jianying Hu, Girish N. Nadkarni
2023 J jnl
Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images.
CoRR
Gabriele Campanella, Ricky Kwan, Eugene Fluder, Jennifer Zeng, Aryeh Stock, Brandon Veremis, Alexandros D. Polydorides, Cyrus Hedvat, Adam Schoenfeld, Chad M. Vanderbilt, Patricia H. Kovatch, Carlos Cordon-Cardo, Thomas J. Fuchs
2022 J jnl
Autoencoders for sample size estimation for fully connected neural network classifiers.
npj Digit. Medicine
Faris F. Gulamali, Ashwin Sawant, Patricia H. Kovatch, Benjamin S. Glicksberg, Alexander Charney, Girish N. Nadkarni, Eric K. Oermann
2020 — conf
Optimizing High-Performance Computing Systems for Biomedical Workloads.
IPDPS Workshops
Patricia H. Kovatch, Lili Gai, Hyung Min Cho, Eugene Fluder, Dansha Jiang
2018 J jnl
Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining.
BMC Medical Informatics Decis. Mak.
Khader Shameer, M. Mercedes Perez-Rodriguez, Roy Bachar, Li Li, Amy Johnson, Kipp W. Johnson, Benjamin S. Glicksberg, Milo R. Smith, Ben Readhead, Joseph Scarpa, Jebakumar Jebakaran, Patricia H. Kovatch, Sabina Lim, Wayne K. Goodman, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Joel T. Dudley
2017 Misc conf
Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort.
PSB
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
2015 A conf
Big omics data experience.
SC
Patricia H. Kovatch, Anthony Costa, Zachary Giles, Eugene Fluder, Hyung Min Cho, Svetlana Mazurkova