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Publication search results
found 14 matches
- 2024
- Weishen Pan, Zhenxing Xu, Suraj Rajendran, Fei Wang
:
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals. Patterns 5(1): 100898 (2024) - Manisha Guduri
, Chinmay Chakraborty
, V. Uma Maheswari
, Martin Margala
:
Blockchain-Based Federated Learning Technique for Privacy Preservation and Security of Smart Electronic Health Records. IEEE Trans. Consumer Electron. 70(1): 2608-2617 (2024) - Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton:
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. AISTATS 2024: 1342-1350 - Naif A. Ganadily, Han J. Xia:
Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy. CoRR abs/2406.15962 (2024) - 2023
- Siqi Li, Pinyan Liu, Gustavo G. Nascimento, Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres, Nan Liu:
Federated and distributed learning applications for electronic health records and structured medical data: a scoping review. J. Am. Medical Informatics Assoc. 30(12): 2041-2049 (2023) - Mahbub Ul Alam
, Rahim Rahmani
:
FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices. Sensors 23(2): 970 (2023) - Shinji Tarumi, Mayumi Suzuki, Hanae Yoshida, Shoko Miyauchi, Ryo Kurazume:
Personalized Federated Learning for Institutional Prediction Model using Electronic Health Records: A Covariate Adjustment Approach. EMBC 2023: 1-4 - Raphael Poulain
, Mirza Farhan Bin Tarek
, Rahmatollah Beheshti
:
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. FAccT 2023: 1599-1608 - Siqi Li, Pinyan Liu, Gustavo G. Nascimento, Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning
, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres, Nan Liu:
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review. CoRR abs/2304.07310 (2023) - Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti
:
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. CoRR abs/2305.11386 (2023) - 2022
- Trung Kien Dang
, Xiang Lan
, Jianshu Weng
, Mengling Feng
:
Federated Learning for Electronic Health Records. ACM Trans. Intell. Syst. Technol. 13(5): 72:1-72:17 (2022) - Sadaf Md. Halim, Latifur Khan, Kevin W. Hamlen, Bhavani Thuraisingham, Md Delwar Hossain
:
A Federated Approach for Learning from Electronic Health Records. BigDataSecurity/HPSC/IDS 2022: 218-223 - 2020
- Songtao Lu, Yawen Zhang, Yunlong Wang:
Decentralized Federated Learning for Electronic Health Records. CISS 2020: 1-5 - 2019
- Stephen R. Pfohl, Andrew M. Dai, Katherine A. Heller:
Federated and Differentially Private Learning for Electronic Health Records. CoRR abs/1911.05861 (2019)
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