Advanced Machine Learning Models in Prediction of Medical Conditions (original) (raw)

The primary goal of Machine learning (ML) models in the prediction of medical conditions is to accurately predict (classify) the occurrence of a disease, or therapy. Many ML models, traditional and deep, have been utilized for the prediction of disease diagnosis, or prediction of the most optimal therapeutic approach. Almost all categories of medical conditions were subject to ML analysis. When creating predictive ML algorithms in medicine, it is pivotal to consider what problems are intended to be solved and how much and what types of training data are available. For challenging prediction (classification) problems, the understanding of disease pathogenesis makes the selection of an adequate ML model and accurate prediction more likely. The hypothesis of the research was to demonstrate that the optimal and adequate selection of model inputs as well as the selection and design of adequate ML methods improves the prediction accuracy of occurrence of diseases and their outcomes. The e...