Disease Prediction Using Machine Learning Methods
DOI:
https://doi.org/10.47611/jsrhs.v13i1.6368Keywords:
multiclass classification, unbalanced, classification, decision tree, logistic regression, machine learning, support vector machine, disease diagnosis, predictionAbstract
A visit to the doctor’s office usually starts with the nurse collecting patient symptoms, health information, and necessary lab tests. All the information will be presented to the doctor, and the doctor may collect additional information in order to do the right diagnosis. The doctor’s brain is like a complicated machine capable of quick processing of the information, relating it to previous patients, and mapping the information to diagnoses. This process resembles much to how machine learning works. In this article, we explore how machine learning could help predict different diseases and facilitate a doctor’s diagnosis. In particular, our study focuses on unbalanced, multiclass classification problems.
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Copyright (c) 2024 Christina Zhuang; Ramin Ramezani
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