2018•International Journal of Computer ApplicationsOpen access

Data Mining Algorithms in Healthcare

Anjali Dwivedi, Kulsoom Rehman, Mayuri Ghosh, Roopa Raman

Open full text 3 citations

Abstract

Data mining is the process of examining large pre-existing databases in order to generate new information.It discovers patterns in large datasets using various data mining algorithms to extract information.These data mining algorithms are extensively used in healthcare industry.Our healthcare industry is becoming inconsistent with respect to diagnosis of diseases because of the increasing complexity of the diseases.Many algorithms are used for prediction of this disease like Naive Bayes, Support Vector Machine, Decision Tree, K-Nearest Neighbour etc. Data mining algorithms have proven to successfully predict such diseases using datasets.In this paper we have presented a general study of the most frequently used data mining algorithms in health care specially in predicting heart diseases.

Open-access reader

About this research paper

What this paper is about

Data mining is the process of examining large pre-existing databases in order to generate new information.It discovers patterns in large datasets using various data mining algorithms to extract information.These data mining algorithms are extensively used in healthcare industry.Our healthcare industry is becoming inconsistent with respect to diagnosis of diseases because of the increasing complexity of the diseases.Many algorithms are used for prediction of this disease like Naive Bayes, Support Vector Machine, Decision Tree, K-Nearest Neighbour etc. Data mining algorithms have proven to successfully predict such diseases using datasets.In this paper we have presented a general study of the most frequently used data mining algorithms in health care specially in predicting heart diseases.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Data mining is the process of examining large pre-existing databases in order to generate new information.It discovers patterns in large datasets using various data mining algorithms to extract information.These data mining algorithms are extensively used in healthcare industry.Our healthcare industry is becoming inconsistent with respect to diagnosis of diseases because of the increasing complexity of the diseases.Many algorithms are used for prediction of this disease like Naive Bayes, Support Vector Machine, Decision Tree, K-Nearest Neighbour etc. Data mining algorithms have proven to successfully predict such diseases using datasets.In this paper we have presented a general study of the most frequently used data mining algorithms in health care specially in predicting heart diseases.

Key concepts: Computer science, Data science, Health care, Data mining, Algorithm, Economics, Economic growth

Related papers

Back to paper searchBrowse research topicsOriginal source
Data Mining Algorithms in Healthcare — Research Paper | ScholarLens