Analysis of Big Data Technology for Health Care Services

2019/09/01 by Dinesh Samuel Sathia Raj, Raj, Dinesh Samuel Sathia, Vijayakumar Varadharajan +5
Computer Science · Health Professions · Medicine · #Artificial Intelligence in Healthcare #COVID-19 diagnosis using AI #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning in Healthcare

paper · pdf · doi:10.48550/arxiv.1909.03029

openalex publication_date 2019/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Deep learning and other big data technologies have over time become very powerful and accurate. There are algorithms and models developed that have near human accuracy in their task. In health care, the amount of data available is massive and hence, these technologies have a great scope in health care. This paper reviews a few interesting contributions to the field specifically to medical imaging, genomics and patient health records.

Citations

• Long Short-Term Memory
• Artificial convolution neural network techniques and applications for lung nodule detection
• Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction
• Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

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