Open AccessPerformance Study Of Uncertainty Based Feature Selection Method On Detection Of Chronic Kidney Disease With SVM Classification
Author(s) -
Lailly Syifa'ul Qolby,
Joko Lianto Buliali,
Ahmad Saikhu
Publication year - 2021
Publication title -
iptek/majalah iptek institut teknologi sepuluh nopember 1945 surabaya
Language(s) - English
Resource type - Journals
eISSN - 2088-2033
pISSN - 0853-4098
DOI - 10.12962/j20882033.v32i2.10483
Subject(s) - feature selection , support vector machine , pattern recognition (psychology) , artificial intelligence , kidney disease , feature (linguistics) , computer science , graph , data mining , medicine , linguistics , philosophy , theoretical computer science