[PDF][PDF] Survey on prediction and analysis the occurrence of heart disease using data mining techniques

C Beyene, P Kamat - International Journal of Pure and Applied …, 2018 - researchgate.net
Prediction of the occurrence of heart diseases in medical centers is significant to identify if
the person has heart disease or not. Data mining is used to retrieve hidden information in …

[PDF][PDF] Performance analysis of liver disease prediction using machine learning algorithms

MB Priya, PL Juliet, PR Tamilselvi - Int. Res. J. Eng. Technol, 2018 - academia.edu
Data Mining is one of the most critical aspects of automated disease diagnosis and disease
prediction. It involves data mining algorithms and techniques to analyze medical data. In …

[PDF][PDF] Prediction and analysis of liver disorder diseases by using data mining technique: survey

S Kefelegn, P Kamat - International Journal of pure and applied …, 2018 - academia.edu
Liver disorder diseases one of the major diseases in the world, Liver is one of the huge solid
organ in the human body; and is also considered a gland because, among its many …

[PDF][PDF] Prediction of chronic kidney disease using data mining feature selection and ensemble method

S Zeynu, S Patil - International Journal of Data Mining in Genomics & …, 2018 - academia.edu
The failure of the kidney is affected the whole human body and it can be a cause of the
seriously ill and cause of deaths. Machine learning and data mining techniques are the most …

Smart health care system using data mining

S Mohapatra, PK Patra, S Mohanty… - 2018 International …, 2018 - ieeexplore.ieee.org
The healthcare industry collects huge amounts of healthcare data which, unfortunately, are
not" mined" to discover hidden information for effective decision making. Data mining has …

[PDF][PDF] Survey on prediction of chronic kidney disease using data mining classification techniques and feature selection

S Zeynu, S Patil - International Journal of Pure and Applied …, 2018 - academia.edu
the main objective of data mining is to mine data from a huge number of datasets and
transform this mining data into a meaning full structure for representing the real object. Data …

Evolutionary sequential genetic search technique‐based cancer classification using fuzzy rough nearest neighbour classifier

L Meenachi, S Ramakrishnan - Healthcare Technology Letters, 2018 - Wiley Online Library
Cancer is one of the deadly diseases of human life. The patient may likely to survive if the
disease is diagnosed in its early stages. In this Letter, the authors propose a genetic search …

[PDF][PDF] Analysis of data mining techniques and algorithms for healthcare application using cervical cancer as a case study.

CNPN Gouanfo - 2018 - air.ashesi.edu.gh
Cervical cancer is the most common cause of cancer among African women. It is a
preventable disease and can be treated if identified at early stages. Given the lack of …

[PDF][PDF] Comparative Analysis of Data Mining Techniques in Sphere of Medical Science

D Arora, K Middha - International Journal of Computer Applications, 2018 - academia.edu
Data Mining is the extraction of useful patterns from the large data set. With the increase in
population, healthcare organizations are collecting a large volume of data which is not …

Information extraction from free text comments in questionnaires

K Ramachandran - 2018 - openrepository.aut.ac.nz
The last 15 years have seen a tremendous explosion in the amount of information available,
encoded both in structured forms such as databases and XML files as well as free, naturally …