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Indian Journal of Public Health Research & Development
Year : 2019, Volume : 10, Issue : 4
First page : ( 1337) Last page : ( 1341)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2019.00898.2

Medical Diagnosis using Machine Learning

Kiruba J1, Visalakshi R2, Vaishnavi A.2, Ahalya R.2, Keerthi RA.2

1Assistant Professor, Department of CSE, Karpagam College of Engineering, Coimbatore-32

2Student, Department of CSE, Karpagam College of Engineering, Coimbatore-32

Online published on 30 April, 2019.

Abstract

Machine learning is one of the fast growing aspect in current world. Machine learning (ML) and Artificial neural network (ANN) are helpful in medical diagnostic task, detection and diagnosis of various disease. The information required for diagnosis is typically gathered from a history and physical examination of the person who is in need of medical care. The aim of this paper to examine the applications of machine learning and artificial neural network in medical and data science field. In specific, we have chosen the disease dengue. This targets on dengue fever prediction, symptoms of a patient, using a data mining tool for the accurateness. Climate change is the main cause of dengue. There is a need for active input from health sector to ensure development and prevention about local and global environment.

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Keywords

Machine Learning, Artificial Neural Network, Dengue, Health Sector.

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