Deep Learning: A Future Prognostic Tool in Medical Illness Prediction

Abstract

Artificial intelligence (AI) has a bright future in healthcare, as evidenced by its rapid growth and the gradual onset of AI research in the medical industry in recent years. The prediction of diseases and drugs has showed potential using deep learning. From a logistic regression model, to a machine learning model, and now to a deep learning model, improvements have been made in the ability to accurately predict medical illnesses. In this article, common illnesses, fundamental deep learning frameworks, and deep learning prediction techniques are all introduced to make a future prognosis and draw attention to issues with illness prognostication. It explains how well deep learning works for predicting diseases and demonstrates how deep learning and medicine will interact in the future. Medical research can benefit from deep learning's innovative feature extraction techniques.