Clinical Decision Support System for Intensity of Heart Diseases |
Author(s): |
| Kulkarni Ravindranath Bhaskar , Vaidya college, Pune; Kulkarni Radhika Ravindranath, MKSSS's CCOE, Pune; Kulkarni Rashmi Ravindranath, Modern college, Pune |
Keywords: |
| Patient Health Information (PHI), Electronic Medical Record (EMR), Extended Sub Tree (EST), Decision Tree, Clinical Decision Support System (CDSS) |
Abstract |
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Clinical Decision Support System (CDSS) is a tool constructed for evaluating the intensity of Heart Diseases. There are five types of intensities present. Each intensity type is denoted with the help of range of values associated with each attribute. To diagnose these intensities ID3 and Extended Sub Tree algorithm is implemented. Comparison of results for these algorithm is been done in this paper. Experiments are done to evaluate the performance of both algorithms and result analysis concludes with, better performance of Extended Sub Tree as compared to ID3 in respect of complexity, accuracy, specificity, sensitivity, precision, recall, f measure etc. |
Other Details |
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Paper ID: IJSRDV6I90239 Published in: Volume : 6, Issue : 9 Publication Date: 01/12/2018 Page(s): 589-594 |
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