[PDF][PDF] Techniques of data mining in healthcare: a review

P Ahmad, S Qamar, SQA Rizvi - International Journal of Computer …, 2015 - Citeseer
Data mining is gaining popularity in disparate research fields due to its boundless
applications and approaches to mine the data in an appropriate manner. Owing to the …

[PDF][PDF] A survey on Data Mining approaches for Healthcare

D Tomar, S Agarwal - International Journal of Bio-Science and …, 2013 - rama.mahidol.ac.th
Data Mining is one of the most motivating area of research that is become increasingly
popular in health organization. Data Mining plays an important role for uncovering new …

State of the art of semantic web for healthcare

X Zenuni, B Raufi, F Ismaili, J Ajdari - Procedia-Social and Behavioral …, 2015 - Elsevier
The ultimate goal to improve healthcare practices and the development of better biomedical
products largely depends on the ability to share and link the wealth of collected medical …

Chronic Kidney Disease analysis using data mining classification techniques

V Kunwar, K Chandel, AS Sabitha… - 2016 6th International …, 2016 - ieeexplore.ieee.org
Data mining has been a current trend for attaining diagnostic results. Huge amount of
unmined data is collected by the healthcare industry in order to discover hidden information …

Comparison of classification models for early prediction of breast cancer

MU Ghani, TM Alam, FH Jaskani - … International Conference on …, 2019 - ieeexplore.ieee.org
Breast cancer is the second most leading cause of women's death in America. To create an
accurate prediction model and analyze the remarkable risk factors, a data mining …

[PDF][PDF] Water quality classification by integration of attribute-realization and support vector machine for the Chao Phraya River

CV Sillberg, P Kullavanijaya… - Journal of Ecological …, 2021 - bibliotekanauki.pl
The water quality index (WQI) is an essential indicator to manage water usage properly. This
study aimed at applying a machine learning-based approach integrating attribute-realization …

Applications of association rule mining in health informatics: a survey

W Altaf, M Shahbaz, A Guergachi - Artificial Intelligence Review, 2017 - Springer
Association rule mining is an effective data mining technique which has been used widely in
health informatics research right from its introduction. Since health informatics has received …

Detection of schistosomiasis factors using association rule mining

Y Ali, A Farooq, TM Alam, MS Farooq, MJ Awan… - IEEE …, 2019 - ieeexplore.ieee.org
Bilharzia or schistosomiasis is one of the most fatal and factitious disease happens through
pollute which become a significant reason of deaths in the world. Prediction and factors …

Efficient data mining method to predict the risk of heart diseases through frequent itemsets

M Ilayaraja, T Meyyappan - Procedia Computer Science, 2015 - Elsevier
Data mining techniques are used in the field of medicine for various purposes. Mining
association rule is one of the interesting topics in data mining which is used to generate …

The Impact of driver distraction and secondary tasks with and without other co-occurring driving behaviors on the level of road traffic crashes

A Jazayeri, JRB Martinez, HS Loeb, CC Yang - Accident Analysis & …, 2021 - Elsevier
Driving safety is typically affected by concurrent non-driving tasks. These activities might
negatively impact the trips' outcome and cause near-crash or crash incidents and accidents …