ISSN:1005-3026

A REVIEW ON PREDICTED HEALTH PROBLEMS IN YOUNG GENERATION USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
  1. Samatha Sree Chathurvedia and L. Mary Gladenceb

a Research Scholar, School of Computing, Sathyabama Institute of Science and Technology, Chennai. INDIA. eschathurvedi@gmail.com

b Associate Professor, School of Computing, Sathyabama Institute of Science and Technology, Chennai. INDIA. marygladence.it@sathyabama.ac.in

Abstract:

The outbreak of human health problems has became a social issue, thereby affecting people. Nations from the world have made great efforts to control the inducing stresses which are troubling the public health. Artificial intelligence computer systems are applied extensively as a remediation, to collect data from patient disabilities thereby making them enable through the use of medicine from a written prescription. Machine learning using computer control systems in medical sciences is more advantageous one that helps in prediction, diagnosis of a disease. Applications involving diagnosing patients, end-to-end drug discovery, further health progress and possible development in humans.

 

Work describes the review of research made by the the researchers and study of applications of aroused technology artificial intelligence systems and machine learning systems, to predict human health aspects and overcoming the detected problems.

 

This study aims to analyse past research results investigated by the researchers and to interpret the role of Artificial Intelligence systems, that be able to prevent and treatment of diagnosed problems.

 

Keywords: Artificial Intelligence computer controlled systems, clinical diagnosis, human health prediction, Research review and Machine learning systems