A Comparative Review on Role of Machine Learning Techniques in Healthcare

👥 Neetiraj Singh Lodhi, Dr.Rajneesh Choubey

📙 Abstract : The aim of this research is to develop a mechanism that assists medical practitioners in predicting and diagnosing liver disease. Various systems have been proposed to aid medical experts by reducing errors and enhancing accuracy in the diagnosis and prediction of diseases. Machine Learning is employed to unearth patterns in extensive datasets, facilitating decision-making and allowing machines to learn through various processes such as supervised, unsupervised, semi-supervised, or reinforcement learning. Historical and categorized patient data are inputted into several algorithms for predicting future patient outcomes. The predictive algorithms examined include Logistic Regression, Decision Tree, Random Forest, K-Nearest Neighbor, and Artificial Neural Network. The aim of this research work is to study the performance of various Machine Learning algorithms to mitigate the high costs associated with diagnosing disease through prediction.

🔖 Keywords :️ Classification, Prediction, Machine learning, Healthcare, Liver disease.