PhilHumans: Benchmarking Machine Learning for Personal Health

arXiv:2405.02770v1 Announce Type: new
Abstract: The use of machine learning in Healthcare has the potential to improve patient outcomes as well as broaden the reach and affordability of Healthcare. The history of other application areas indicates that strong benchmarks are essential for the development of intelligent systems. We present Personal Health Interfaces Leveraging HUman-MAchine Natural interactions (PhilHumans), a holistic suite of benchmarks for machine learning across different Healthcare settings - talk therapy, diet coaching, emergency care, intensive care, obstetric sonography …

abstract application arxiv benchmarking benchmarks cs.lg development health healthcare history intelligent intelligent systems interfaces machine machine learning other application areas patient systems type