Penerapan Machine Learning Dalam Aplikasi Kesehatan HEALTIME

Abstract

This study explores the potential of digital health technology as a tool for diagnosing diseases using machine learning algorithms. By analyzing medical data patterns, the system aims to assist healthcare professionals and individuals in predicting diseases based on the identified patterns. The methodology involves training data with a custom-compiled model, incorporating optimizers, loss functions, and accuracy metrics to enhance performance. The results demonstrate that the model achieves commendable accuracy, reinforcing the effectiveness of machine learning in decision-making processes for medical diagnoses. This research underscores the growing role of artificial intelligence in healthcare, paving the way for more efficient, data-driven solutions for disease identification and treatment planning.