Machine Learning in Healthcare

Machine Learning in Healthcare is a research topic within Artificial Intelligence. Science Explorer counts 24k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of deep learning techniques in healthcare, particularly in the analysis of electronic health records (EHR). The papers cover a wide range of topics including predictive modeling, patient similarity, disease risk prediction, medical concept embedding, and temporal data analysis. The goal is to leverage deep learning to improve healthcare decision-making and enable precision medicine.

• Deep Learning
• Healthcare
• Electronic Health Records
• Predictive Modeling
• Patient Similarity
• Clinical Event Prediction
• Disease Risk Prediction
• Medical Concept Embedding
• Temporal Data Analysis
• Precision Medicine