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IJSTR >> Volume 9 - Issue 2, February 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Enhanced Approaches In Decision Support System Using Ai For Achieving Precision Medicine

[Full Text]

 

AUTHOR(S)

A.P.Pon Selva Kumar, Dr.S.Anandamurugan, K.Logeswaran

 

KEYWORDS

Clinical and Diagnostic Decision Support, Artificial Intelligence, Electronic Health Record

 

ABSTRACT

The deep learning based healthcare technology is evolving recently to identify, classify and give precision medicine to patients. Recent advancement in internet of things, cyber physical systems brings healthcare technology into doorstep. This paper reviews the various diagnosis methods of healthcare industries dealing with cancer, diabetics, heart failure which seeks computational intelligence techniques to identify and treat patients with better care. The various research articles collected from popular journals like science direct, PubMed, ACM, IEE, Clinical Oncology have been taken to analyze its experimental methods and their outcomes. This review mainly focused on dealing electronic health records (EHR), cancer prediction model using recent deep learning techniques and some of framework based mechanisms which automate healthcare process. This article deals with major recent algorithms like support structured vector machine, auto encoder, convolution neural network etc., in the clinical setting of cancer and major diseases and diagnostic setting like genomic sequence based mechanisms. The healthcare industry has their own processing techniques to deal with various predictions and treatment like gene based techniques, clinical laboratory testing, observation model, diagnostic model. It also requires many statistical reference model and medical reference to acquire quick prediction along with patient’s information. As a result decision support system using AI for realizing precision medicine can be delivered by CNN positively.

 

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