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2020 – today
- 2024
[j3]Sarah L. Malecki
, Anne Loffler, Daniel Tamming, Niklas Dyrby Johansen, Tor Biering-Sørensen, Michael Fralick, Shahmir Sohail, Jessica Shi, Surain B. Roberts, Michael Colacci, Marwa Ismail, Fahad Razak, Amol A. Verma:
Development and external validation of tools for categorizing diagnosis codes in international hospital data. Int. J. Medical Informatics 189: 105508 (2024)- [i3]Congyu Fang, Adam Dziedzic, Lin Zhang, Laura Oliva, Amol A. Verma, Fahad Razak, Nicolas Papernot, Bo Wang:
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data. CoRR abs/2402.00205 (2024) - 2023
- [i2]Mucahit Cevik, Can Kavaklioglu, Fahad Razak, Amol A. Verma, Ayse Basar:
Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation. CoRR abs/2308.02730 (2023) - [i1]Fatemeh Tavakoli, D. B. Emerson, John Jewell, Amrit Krishnan, Yuchong Zhang, Amol A. Verma, Fahad Razak:
FENDA-FL: Personalized Federated Learning on Heterogeneous Clinical Datasets. CoRR abs/2309.16825 (2023) - 2021
- [j2]Amol A. Verma, Sachin V. Pasricha, Hae Young Jung, Vladyslav Kushnir, Denise Y. F. Mak, Radha Koppula, Yishan Guo, Janice L. Kwan, Lauren Lapointe-Shaw, Shail Rawal, Terence Tang, Adina Weinerman, Fahad Razak:
Assessing the quality of clinical and administrative data extracted from hospitals: the General Medicine Inpatient Initiative (GEMINI) experience. J. Am. Medical Informatics Assoc. 28(3): 578-587 (2021) - 2020
- [j1]Akshay Rajaram, Daniel Thomas, Faten Sallam, Amol A. Verma, Shail Rawal:
Accuracy of the Preferred Language Field in the Electronic Health Records of Two Canadian Hospitals. Appl. Clin. Inform. 11(04): 644-649 (2020)
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