Open AccessHealth Prediction by Data Mining
Author(s) -
Rohan Lohia and Vibhor Sharma
Publication year - 2020
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst061273
Subject(s) - computer science , cluster analysis , data mining , duration (music) , path (computing) , health data , data science , health care , machine learning , art , literature , economics , programming language , economic growth
The paper presents an overview of the Clinical Predictions and Medical Predictions with data mining andits techniques. In health care areas, due to regulations and due to availability of computers, such largeamount of data cannot be processed by humans to schedules and diagnosis in short time of duration. It is anew technology which is of high interest in computer world. The computer world make an data in differentdatabases to transfer into new researches and results. The database management extract a new patternsfrom large datasets. The different parameters included in data mining are: clustering, forecasting, pathanalysis and predictive analysis.