[PDF][PDF] Review on heart disease prediction system using data mining techniques

B Kaur, W Singh - International journal on recent and innovation …, 2014 - academia.edu
Data mining is the computer based process of analyzing enormous sets of data and then
extracting the meaning of the data. Data mining tools predict future trends, allowing business …

Effectiveness of support vector machines in medical data mining

P Janardhanan, F Sabika - Journal of communications software and …, 2015 - hrcak.srce.hr
Sažetak The idea of medical data mining is to extract hidden knowledge in medical field
using data mining techniques. One of the positive aspects is to discover the important …

Frequent pattern growth algorithm for maximizing display items

AH Nasyuha, J Jama, R Abdullah… - Telkomnika …, 2020 - telkomnika.uad.ac.id
Products are goods that are available and provided in stores for sale. Products provided in
stores must be arranged properly to order to attract the attention of consumers to buy …

Use of internet of things to provide a new model for remote heart attack prediction

M Yahyaie, MJ Tarokh… - Telemedicine and e …, 2019 - liebertpub.com
Background: Most of the research on heart attack prediction has been based on the offline
decision-making approach. The Internet of Things (IoT), as a new concept in the field of …

[HTML][HTML] iHealthcare: Predictive Model Analysis Concerning Big Data Applications for Interactive Healthcare Systems

MAR Bhuiyan, MR Ullah, AK Das - Applied Sciences, 2019 - mdpi.com
Recently, the healthcare industry has caught the attention of researchers due to a need to
develop a smart and interactive system for effective and efficient treatment facilities. The …

[PDF][PDF] Heart disease prediction system using hybrid technique of data mining algorithms

N Singh, P Firozpur, S **dal - International Journal of Advance …, 2018 - academia.edu
Most countries confront high and growing rates of heart illnesses or Cardiovascular Disease.
Regardless of the way that, best in class pharmaceutical is making the giant measure of data …

Comparing machine learning clustering with latent class analysis on cancer symptoms' data

N Papachristou, C Miaskowski… - … Innovation Point-Of …, 2016 - ieeexplore.ieee.org
Symptom Cluster Research is a major topic in Cancer Symptom Science. In spite of the
several statistical and clinical approaches in this domain, there is not a consensus on which …

Implementation of K-means algorithm in data analysis

AH Nasyuha, Z Zulham, I Rusydi - … Computing Electronics and …, 2022 - telkomnika.uad.ac.id
Some large companies have difficulty in providing products even though the products are
still available in the warehouse. Based on these problems, a solution is needed in managing …

Meta-analysis of fraud, waste and abuse detection methods in healthcare

R Ikono, O Iroju, J Olaleke, T Oyegoke - Nigerian Journal of Technology, 2019 - ajol.info
Fraud, waste and abuse have been a concern in healthcare system due to the exponential
increase in the loss of revenue, loss of reputation and goodwill, and a rapid decline in the …