Processing of Electronic Health Records using Deep Learning: A review

2018/04/05 by Venet Osmani, Li Li, Osmani, Venet +11 · 2 citations
Computer Science · Health Professions · #Artificial Intelligence in Healthcare #Computers and Society (cs.CY) #Electronic Health Records Systems #FOS: Computer and information sciences #Machine Learning in Healthcare #cs.CY

paper · pdf · doi:10.48550/arxiv.1804.01758

arxiv created 2018/04/05 · openalex publication_date 2018/04/05 · arxiv updated 2018/04/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Availability of large amount of clinical data is opening up new research avenues in a number of fields. An exciting field in this respect is healthcare, where secondary use of healthcare data is beginning to revolutionize healthcare. Except for availability of Big Data, both medical data from healthcare institutions (such as EMR data) and data generated from health and wellbeing devices (such as personal trackers), a significant contribution to this trend is also being made by recent advances on machine learning, specifically deep learning algorithms.

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