COMPUTER-AIDED MEDICAL DIAGNOSIS SYSTEM USING LOGISTICS REGRESSION ALGORITHMS (LRA) SUPERVISED LEARNING APPROACH
Journal Title: Engineering and Technology Journal - Year 2021, Vol 6, Issue 12
Abstract
This work focused on the designing of medical diagnosis system using Supervised Machine Learning. Logistics Regression Algorithms (LRA) was adopted, the label inputs for the data set which the symptoms were trained and mapped with the input of the user. Diagnosis of malaria was considered in this work; the system verified the value of the logical regression in the medical decision support system. Medical practitioners and other health workers can use this system to make better decisions in medical diagnosis for malaria. Adoption of this system will reduce stress of diagnoses malaria from patient and reduce congestion in our hospitals.
Authors and Affiliations
AKINWOLE Agnes Kikelomo, YEKINI Nureni Asafe, OLOYEDE Olamide Adetokunbo, OJO Olanrewaju
Keywords
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- EP ID EP705198
- DOI 10.47191/etj/v6i12.02
- Views 63
- Downloads 0
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