Investigation on Preserving Privacy of Electronic Medical Record using Split Learning
- Title
- Investigation on Preserving Privacy of Electronic Medical Record using Split Learning
- Creator
- Kiruthika M.; Kumar A.; Krishnasamy L.; Sarveshwaran V.
- Description
- Artificial Intelligence is deployed in multiple areas, including healthcare. Utmost research is done in AI enabled healthcare industry because of the demands like accurate result, data security, exact prediction, huge volume of data, etc. In conventional deep learning models, the training happens with the dataset that are stored in a single device. This requires a huge storage space and highly efficient machines to train the data. Usage of big data, demands for innovative models that can be deployed and used in confined storage. Split learning is one such collaborative distributed deep learning model that allows the data to be stored in a split fashion. Split learning supports desirable features like less storage, more privacy to raw data, ability to work with resource constraints, etc., making it suitable for storing electronic medical record of patients. This paper discusses the advantages of using split learning for healthcare, the possible configurations of split learning that supports data privacy in healthcare and finally discusses the open research challenges in implementing split learning for healthcare. 2024 The Authors. Published by Elsevier B.V.
- Source
- Procedia Computer Science, Vol-233, pp. 614-622.
- Date
- 2024-01-01
- Publisher
- Elsevier B.V.
- Subject
- Healthcare; Patient data; Privacy; Security; Split Learning
- Coverage
- Kiruthika M., Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Tamilnadu, Kattankulathur, 603203, India; Kumar A., Punjab National Bank, New Delhi, 110075, India; Krishnasamy L., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bengaluru, 560074, India; Sarveshwaran V., Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Tamilnadu, Kattankulathur, 603203, India
- Rights
- All Open Access; Gold Open Access
- Relation
- ISSN: 18770509
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Kiruthika M.; Kumar A.; Krishnasamy L.; Sarveshwaran V., “Investigation on Preserving Privacy of Electronic Medical Record using Split Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19461.