scholarly journals Predictive data mining approaches in medical diagnosis: A review of some diseases prediction

2019 ◽  
pp. 47-70 ◽  
Author(s):  
Ramin Ghorbani ◽  
Rouzbeh Ghousi
Keyword(s):  
Data Mining ◽  
Medical Diagnosis ◽  
Predictive Data Mining

scholarly journals Predictive Data Mining for Medical Diagnosis: An Overview of Heart Disease Prediction

2011 ◽  
Vol 17 (8) ◽  
pp. 43-48 ◽  
Author(s):  
Jyoti Soni ◽  
Ujma Ansari ◽  
Dipesh Sharma ◽  
Sunita Soni
Keyword(s):  
Data Mining ◽  
Heart Disease ◽  
Medical Diagnosis ◽  
Disease Prediction ◽  
Predictive Data Mining

A Comparative Study on Medical Diagnosis Using Predictive Data Mining

2014 ◽  
pp. 327-360 ◽  
Author(s):  
Seyed Jalaleddin Mousavirad ◽  
Hossein Ebrahimpour-Komleh
Keyword(s):  
Data Mining ◽  
Neural Networks ◽  
Support Vector Machine ◽  
Decision Tree ◽  
Medical Diagnosis ◽  
Medical Data ◽  
Support Vector ◽  
Medical Data Mining ◽  
Data Mining Techniques ◽  
Predictive Data Mining

Medical diagnosis is a most important problem in medical data mining. The possible errors of a physician can reduce with the help of data mining techniques. The goal of this chapter is to analyze and compare predictive data mining techniques in the medical diagnosis. To this purpose, various data mining techniques such as decision tree, neural networks, support vector machine, and lazy modelling are considered. Results show data mining techniques can considerably help a physician.

A Comparative Study on Medical Diagnosis Using Predictive Data Mining

2016 ◽  
pp. 923-954
Author(s):  
Seyed Jalaleddin Mousavirad ◽  
Hossein Ebrahimpour-Komleh
Keyword(s):  
Data Mining ◽  
Neural Networks ◽  
Support Vector Machine ◽  
Decision Tree ◽  
Medical Diagnosis ◽  
Medical Data ◽  
Support Vector ◽  
Medical Data Mining ◽  
Data Mining Techniques ◽  
Predictive Data Mining

Medical diagnosis is a most important problem in medical data mining. The possible errors of a physician can reduce with the help of data mining techniques. The goal of this chapter is to analyze and compare predictive data mining techniques in the medical diagnosis. To this purpose, various data mining techniques such as decision tree, neural networks, support vector machine, and lazy modelling are considered. Results show data mining techniques can considerably help a physician.

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