Techniques for Data Mining Prediction in the Health Care Sector

Abstract

Data mining is another term for knowledge discovery in databases (KDD). It's an interdisciplinary field that focuses on rooting meaningful knowledge from data in all sectors similar as health, education, and business. Currently, with the covid epidemic affecting everyone and rising coronavirus cases causing nursing home beds, oxygen, vaccines and individuals to be denied by hospitals, the health structure of the elderly is in the spotlight. There's a wealth of information accessible in the medical world about these diseases. Data booby-trapping concepts may be used to prize meaningful styles from this type of material in order to prognosticate unborn followings. This study emphasizes on several mining approaches that will be applied in the therapy assiduity to achieve the stylish results.

Authors and Affiliations

Aditya Kumar Tripathi, and Anu Sharma

Keywords

Related Articles

Non-Vibrational Fault Analysis of Turbojet Engine Bearings by using Deep Neural Networks

This paper depicts the implementation of deep neural networks in predicting common faults of the turbojet engine bearings by training the model with images and processing them by designing proper Deep Neural Network mode...

Rapid Web Application Development Using Spring Framework: A Case Study

In the agile world, the web application development has to be accurate and economical. One of the best ways to achieve the productivity is by reducing the complexity. The complexity can be reduced by the separation of co...

A Review on Microbial Production of Vitamins

Vitamins are vital nutrients that can be produced by the body and are only required in tiny quantities in the diet. Vitamins are chemical molecules that must be consumed in tiny amounts since the body cannot produce them...

New Product Development through QFD Methodology - A Short Survey

This paper presents a literature review of quality function deployment (QFD). The introduction and history of survey in QFD is accounted first, followed by methodology of Quality Function Deployment. Then a categorical a...

Opinion Analysis-An Assessment of the Feelling of Individuals: A Review

Online documents have gotten a lot of consideration as of late from a person perspective and contemplations as essential policy. The conditions leads to expanding notice in techniques for consequently gathering and asses...

Download PDF file
  • EP ID EP745106
  • DOI 10.55524/ijircst.2023.11.3.6
  • Views 15
  • Downloads 0

How To Cite

Aditya Kumar Tripathi, and Anu Sharma (2023). Techniques for Data Mining Prediction in the Health Care Sector. International Journal of Innovative Research in Computer Science and Technology, 11(3), -. https://europub.co.uk/articles/-A-745106