Treffer: Machine learning in medicine using JavaScript: building web apps using TensorFlow.js for interpreting biomedical datasets (Updated December 21, 2023).

This article discusses the use of machine learning and web development in the field of medicine. The authors utilized TensorFlow.js, a JavaScript-based library, to model biomedical datasets using neural networks obtained from Kaggle. They focused on three datasets: diabetes detection, surgery complications, and heart failure. The results showed high accuracy rates for each dataset, demonstrating the potential of TensorFlow.js in developing sophisticated machine learning models for web-based applications in medicine. The article emphasizes the growing popularity of JavaScript and its derivatives in this field. However, it is important to note that this preprint has not yet undergone peer review. [Extracted from the article]