all AI news
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning. (arXiv:2210.12090v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Diagnostic and prognostic models are increasingly important in medicine and
inform many clinical decisions. Recently, machine learning approaches have
shown improvement over conventional modeling techniques by better capturing
complex interactions between patient covariates in a data-driven manner.
However, the use of machine learning introduces a number of technical and
practical challenges that have thus far restricted widespread adoption of such
techniques in clinical settings. To address these challenges and empower
healthcare professionals, we present a machine learning framework,
AutoPrognosis 2.0, …
arxiv automated machine learning diagnostic healthcare machine machine learning modeling