This Collection aims to showcase cutting-edge research and innovative methodologies in the field of data mining, specifically tailored to biomedical informatics and healthcare. As the volume of biomedical data continues to grow exponentially, the need for advanced data mining techniques to extract meaningful insights has never been greater. This Collection will feature contributions that highlight the latest advancements in data mining algorithms, machine learning applications, and big data analytics, all aimed at improving patient outcomes, enhancing precision medicine, and optimizing healthcare systems.
We invite researchers and practitioners to submit their work on topics including, but not limited to:
• Predictive modeling in healthcare
• Data integration and interoperability
• Clinical decision support systems
• Machine learning and artificial intelligence in biomedical research
• Big data analytics for healthcare
• Personalized and precision medicine
• Health informatics and electronic health records
• Genomic and proteomic data mining
• Real-time data processing and analysis
• Privacy and security in healthcare data mining