[HTML][HTML] A classification and regression tree algorithm for heart disease modeling and prediction

M Ozcan, S Peker - Healthcare Analytics, 2023 - Elsevier
Heart disease remains the leading cause of death, such that nearly one-third of all deaths
worldwide are estimated to be caused by heart-related conditions. Advancing applications of …

[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 …

A comprehensive survey of anomaly detection in banking, wireless sensor networks, social networks, and healthcare

M Zamini, SMH Hasheminejad - Intelligent Decision …, 2019 - journals.sagepub.com
Anomaly detection is an important issue, which has been investigated in various research
fields and application domains. Many anomaly detection techniques have been developed …

Evaluation prediction techniques to achievement an optimal biomedical analysis

S Al-Janabi, MA Mahdi - International Journal of Grid and …, 2019 - inderscienceonline.com
Intelligent analysis of prediction data mining techniques is widely used to support optimising
future decision-making in many different fields including healthcare and medical diagnoses …

[HTML][HTML] Management of landslides in a rural–urban transition zone using machine learning algorithms—A case study of a National Highway (NH-44), India, in the …

M Fayaz, G Meraj, SA Khader, M Farooq, S Kanga… - Land, 2022 - mdpi.com
Landslides are critical natural disasters characterized by a downward movement of land
masses. As one of the deadliest types of disasters worldwide, they have a high death toll …

A novel software to improve healthcare base on predictive analytics and mobile services for cloud data centers

MA Mahdi, S Al_Janabi - Big Data and Networks Technologies 3, 2020 - Springer
The main idea of this work is generated from studying the main challenges in the healthcare
field. The goal is to identify patients who will be admitted to the hospital within the next year …

Personalized health monitoring system of elderly wellness at the community level in Hong Kong

L Yu, WM Chan, Y Zhao, KL Tsui - IEEE Access, 2018 - ieeexplore.ieee.org
Rapid advances in information and sensor technology have led to the development of tools
and methods for personalized health monitoring. These techniques support timely and …

Trend and impact of international collaboration in clinical medicine papers published in Malaysia

WY Low, KH Ng, MA Kabir, AP Koh, J Sinnasamy - Scientometrics, 2014 - Springer
Research collaboration is the way forward in order to improve quality and impact of its
research findings. International research collaboration has resulted in international co …

Predictors and patterns of problematic Internet game use using a decision tree model

MJ Rho, JE Jeong, JW Chun, H Cho… - Journal of behavioral …, 2016 - akjournals.com
Background and aims Problematic Internet game use is an important social issue that
increases social expenditures for both individuals and nations. This study identified …