Machine Learning Concept Using K-NN Algorithm for Heart Disease Discovery and Drug Prescription

  Sanjay Murali,  Vivek Chanddru,  Shrinaveen S

we are living in a world where it is very critical for a physician to predict the disease a person is suffering from and to suggest medicine based on the diagnosis. Evidence based medicine (EBM) is the accurate use of evidence available in making decisions to improve the care given for individual patients. Every year, a significant number of researches (potentially serving as evidence) are reported. With the help of this burgeoning amount of health records from tens and thousands of patients, researchers and medics are not just challenged to leverage the full potential of EBM but also to use it to treat their patients for the best results. We develop a system which would analyse the patient’s health with the help of a series of questions and determine the disease based on the evidences gathered previously. We also aim to provide the user with the best known medicine for that particular disease (Also based on EBM)

Keywords- Big Data, Machine Learning, EBM (Evidence Based Medicine), Hadoop

Unique Identification Number - IJEDR1501085
Page Number(s) - 473-478
Pubished in - Volume 3 | Issue 1 | Jan 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Sanjay Murali,  Vivek Chanddru,  Shrinaveen S,   "Machine Learning Concept Using K-NN Algorithm for Heart Disease Discovery and Drug Prescription", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 1, pp.473-478, Jan 2015, Available at :http://www.ijedr.org/papers/IJEDR1501085.pdf