Artificial Intelligent Systems and Machine Learning

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A Review on Use of Machine Learning Techniques in Diagnostic Health-Care


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1 JSS Academy of Technical Education, Bangalore, India
     

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Monitoring of Physiological parameters/indicators of human body is indispensable in the health-care industry and in medical diagnosis. Today we find lot of invasive and non-invasive techniques adopted for vital data collection. The enormous amount of data/info thus obtained is used in predictive analytics for effective diagnosis of diseases, and plays an important role in life science. In this paper we provide a brief review of machine learning techniques adopted in predictive analysis for the challenging problems that the diagnostic health-care industry is exposed to today.


Keywords

Healthcare, Machine Learning, Predictive Analytics, Supervised Learning, Unsupervised Learning.
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  • A Review on Use of Machine Learning Techniques in Diagnostic Health-Care

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Authors

Sachin K. Rai
JSS Academy of Technical Education, Bangalore, India
K. N. Sowmya
JSS Academy of Technical Education, Bangalore, India

Abstract


Monitoring of Physiological parameters/indicators of human body is indispensable in the health-care industry and in medical diagnosis. Today we find lot of invasive and non-invasive techniques adopted for vital data collection. The enormous amount of data/info thus obtained is used in predictive analytics for effective diagnosis of diseases, and plays an important role in life science. In this paper we provide a brief review of machine learning techniques adopted in predictive analysis for the challenging problems that the diagnostic health-care industry is exposed to today.


Keywords


Healthcare, Machine Learning, Predictive Analytics, Supervised Learning, Unsupervised Learning.

References