Using the Extreme Learning Machine (ELM) technique for heart disease diagnosis
作者： Salam Ismaeel , Ali Miri , Dharmendra Chourishi
DOI: 10.1109/IHTC.2015.7238043
关键词:
摘要: One of the most important applications machine learning systems is diagnosis heart disease which affect lives millions people. Patients suffering from have lot independent factors such as age, sex, serum cholesterol, blood sugar, etc. in common can be used very effectively for diagnosis. In this paper an Extreme Learning Machine (ELM) algorithm to model these factors. The proposed system replace a costly medical checkups with warning patients probable presence disease. implemented on real data collected by Cleveland Clinic Foundation where around 300 information has been collected. Simulation results show architecture about 80% accuracy determining
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