Patricia Kovatch

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Acute Kidney Injury

Internal Carotid Artery

Clinical Decision Support

Machine Learning

Top Venues

NPJ digital medicine

Journal of medical Internet research

Clinical journal of the American Society of Nephrology : CJASN

Nature medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Joy J Jiang, Ha My Thi Vy, Alexander W Charney, Patricia Kovatch, Vivek Reddy, Pushkala Jayaraman, Ron Do, Rohan Khera, Sumeet Chugh, Deepak L Bhatt, Akhil Vaid, Joshua Lampert, Girish Nitin Nadkarni
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. NPJ digital medicine 7 (1) (2024)
Joy J Jiang, Ha My Thi Vy, Alexander W Charney, Patricia Kovatch, Vivek Reddy, Pushkala Jayaraman, Ron Do, Rohan Khera, Sumeet Chugh, Deepak L Bhatt, Akhil Vaid, Joshua Lampert, Girish Nitin Nadkarni
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. NPJ digital medicine 7 (1) (2024)
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 Kovatch, Robert M Freeman, Ira S Hofer, Ankit Sakhuja, Neha S Dangayach, David S Reich, Alexander W Charney, Girish Nitin Nadkarni
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. NPJ digital medicine 7 (1) (2024)
Joy J Jiang, Ha My Thi Vy, Alexander W Charney, Patricia Kovatch, Vivek Reddy, Pushkala Jayaraman, Ron Do, Rohan Khera, Sumeet Chugh, Deepak L Bhatt, Akhil Vaid, Joshua Lampert, Girish Nitin Nadkarni
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. NPJ digital medicine 7 (1) (2024)
Akhil Vaid, Ashwin S Sawant, Mayte Suárez-Fariñas, Juhee Lee, Sanjeev Kaul, Patricia Kovatch, Robert M Freeman, Joy Jiang, Pushkala Jayaraman, Zahi Adel Fayad, Edgar Argulian, Stamatios Lerakis, Alexander W Charney, Fei Wang, Matthew A Levin, Benjamin Scott Glicksberg, Jagat Narula, Ira Hofer, Karandeep S Singh, Girish Nitin Nadkarni
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study. Annals of internal medicine (2023)
Faris F Gulamali, Ashwin S Sawant, Patricia Kovatch, Benjamin Scott Glicksberg, Alexander Charney, Girish Nitin Nadkarni, Eric Oermann
Autoencoders for sample size estimation for fully connected neural network classifiers. NPJ digital medicine 5 (1) (2022)
Akhil Vaid, Joy J Jiang, Ashwin S Sawant, Karandeep Singh, Patricia Kovatch, Alexander W Charney, David M Charytan, Jasmin Divers, Benjamin Scott Glicksberg, Lili Chan, Girish N Nadkarni
Automated Determination of Left Ventricular Function Using Electrocardiogram Data in Patients on Maintenance Hemodialysis. Clinical journal of the American Society of Nephrology : CJASN 17 (7) (2022)
Faris F Gulamali, Ashwin S Sawant, Patricia Kovatch, Benjamin Scott Glicksberg, Alexander Charney, Girish Nitin Nadkarni, Eric Oermann
Autoencoders for sample size estimation for fully connected neural network classifiers. NPJ digital medicine 5 (1) (2022)
Suraj K Jaladanki, Akhil Vaid, Ashwin S Sawant, Jie Xu, Kush Shah, Sergio Dellepiane, Ishan Paranjpe, Lili Chan, Patricia Kovatch, Alexander W Charney, Fei Wang, Benjamin Scott Glicksberg, Karandeep S Singh, Girish Nitin Nadkarni
Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City. medRxiv : the preprint server for health sciences (2021)
Patricia Kovatch, Lili Gai, Hyung Min Cho, Eugene Fluder, Dansha Jiang
Optimizing High-Performance Computing Systems for Biomedical Workloads. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum 2020 (2020)
Akhil Vaid, Sulaiman S Somani, Adam J Russak, Jessica K De Freitas, Fayzan F Chaudhry, Ishan Paranjpe, Kipp W Johnson, Samuel J Lee, Riccardo Miotto, Felix Richter, Shan P Zhao, Noam D Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish D Paranjpe, Eddye A Golden, Matteo Danieletto, Manbir Singh, Dara Meyer, Paul F O'Reilly, Laura M Huckins, Patricia Kovatch, Joseph Finkelstein, Robert M Freeman, Edgar Argulian, Andrew Kasarskis, Bethany L Percha, Judith A Aberg, Emilia Bagiella, Carol R Horowitz, Barbara Murphy, Eric J Nestler, Eric E Schadt, Judy H Cho, Carlos Cordon-Cardo, Valentin Fuster, Dennis S Charney, David L Reich, Erwin P Böttinger, Matthew A Levin, Jagat Narula, Zahi Adel Fayad, Allan Carpenter Just, Alexander W Charney, Girish Nitin Nadkarni, Benjamin Scott Glicksberg
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. Journal of medical Internet research 22 (11) (2020)
Diane Marie Del Valle, Seunghee Kim-Schulze, Hsin-Hui Huang, Noam D Beckmann, Sharon Nirenberg, Bo Wang, Yonit Lavin, Talia H Swartz, Deepu Madduri, Aryeh Stock, Thomas U Marron, Hui Xie, Manishkumar Patel, Kevin Tuballes, Oliver Van Oekelen, Adeeb Rahman, Patricia Kovatch, Judith A Aberg, Eric Schadt, Sundar Jagannath, Madhu Mazumdar, Alexander W Charney, Adolfo Firpo-Betancourt, Damodara Rao Mendu, Jeffrey Jhang, David Reich, Keith Sigel, Carlos Cordon-Cardo, Marc Feldmann, Samir Parekh, Miriam Merad, Sacha Gnjatic
An inflammatory cytokine signature predicts COVID-19 severity and survival. Nature medicine 26 (10) (2020)