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https://www.researchgate.net/publication/267934132_Decision_Support_System_for_Medical_Diagnosis_Using_Data_Mining
Decision Support System for Medical Diagnosis Using Data Mining How we measure 'reads' A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of...
http://ijcsi.org/papers/IJCSI-8-3-1-147-153.pdf
They provide support for decision making, they do not replace it. The mission of decision support systems is to improve effectiveness, rather than the efficiency of decisions [19]. Chen argues that the use of data mining helps institutions make critical decisions faster and …
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.403.2780
decision support system medical diagnosis using data mining huge amount id3 algorithm healthcare industry medical diagnosis optimum use decision tree c4 intelligent medical decision support system correction rate hidden pattern heart disease.
https://www.semanticscholar.org/paper/An-expert-clinical-decision-support-system-to-using-Hashi-Zaman/87e1ff88fbcb02dfea73b858ea5f6bbd55d6dc4e
The conventional disease diagnosis system uses the perception and experience of doctor without using the complex clinical data. The proposed system assists doctor to predict disease correctly and the prediction makes patients and medical insurance providers benefited.
http://ijarcet.org/wp-content/uploads/IJARCET-VOL-2-ISSUE-1-218-223.pdf
The use of data mining tools has become widely used c l ini ca appli tions f or disease gn sis m re effectively. Various data mining techniques such as decision trees, artificial neural networks, Bayesian networks, support vector machines kernel density, bagging algorithm have been actively used in clinicalCited by: 22
https://www.academia.edu/4133263/MEDICAL_DECISION_SUPPORT_SYSTEM_USING_DATA_MINING_TECHNIQUES
The Medical Decision Support System Using Data Mining Techniques 173 other lines on the chart of Figures 2 (a) and (b) represent our mining models. The green line represents the Naïve Bayes model, while the purple line represents the Decision Tree model.
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