Predictive Analysis of Diseases: An Overview

Abstract

Predictive Analysis of Diseases is an important issue in medical research. Majority number of patients struggle for their check up even for predictive diseases like heart attack, liver damage, eczema and diabetes. There is a lot of data available within the healthcare systems. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. Data mining technology provides a user-oriented approach to novel and hidden patterns in the data. This research paper put lights on how predictive analysis of diseases play a vital role in healthcare domain and analyse various predictive data mining techniques. With the effective analysis tools and algorithms, pattern of diseases can be possible.

Authors and Affiliations

Purvashi Mahajan, Abhishek Sharma

Keywords

Related Articles

Review of Flying Adhoc Network (FANET) using Clustering Method

One of the most important design problems for the Multi unmanned aerial vehicles systems is communication between UAVs. In a multi-UAV system, the communication between UAVs is provided with all UAVs connecting directly...

Performance and Study of Diesel Engine Using Blends of Sunflower Oil with Diesel

Biodiesel either in neat, clean and sustainable form or as a mixture with diesel fuel is widely investigated to solve the two basic problems of fossil fuels and environmental degradations. The main objective of the pres...

“Pipe Inspection Robot” – Review

a pipe inspection robot is a device or an instrument use to inspect and clean the pipe either an industrial or nonindustrial. This is an innovation that took place in recent year to eliminate the human factor from the wo...

An overview of some modifications proposed in Perturbation & Observation Maximum power point Tracking

Solar energy is one of the most important form of renewable energy in the present time because of rapid depletion of non renewable sources of energy. Solar energy is clean, safe and abundant in nature. Photo voltaic or...

A Rate Allocation Algorithm in Uplink SC-FDMA Systems for Enhancing Network Throughput

For a cellular system where mobile terminals transmit in the uplink to base stations (BSs) using single carrier- frequency division multiple access (SC-FDMA), we consider mul- ticell processing among BSs. Received signa...

Download PDF file
  • EP ID EP22044
  • DOI -
  • Views 212
  • Downloads 4

How To Cite

Purvashi Mahajan, Abhishek Sharma (2016). Predictive Analysis of Diseases: An Overview. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(4), -. https://europub.co.uk/articles/-A-22044