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[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 …
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 …
using data mining techniques. One of the positive aspects is to discover the important …
Frequent pattern growth algorithm for maximizing display items
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 …
stores must be arranged properly to order to attract the attention of consumers to buy …
Co-designing a dashboard of predictive analytics and decision support to drive care quality and client outcomes in aged care: a mixed-method study protocol
Introduction There is a clear need for improved care quality and quality monitoring in aged
care. Aged care providers collect an abundance of data, yet rarely are these data integrated …
care. Aged care providers collect an abundance of data, yet rarely are these data integrated …
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 …
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
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 …
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 …
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 …
several statistical and clinical approaches in this domain, there is not a consensus on which …
Implementation of K-means algorithm in data analysis
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 …
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
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 …
increase in the loss of revenue, loss of reputation and goodwill, and a rapid decline in the …