This study uses physician billing data and machine learning to identify and classify family physicians with the goal of improving health human resource planning ...
This study uses physician billing data and machine learning to identify and classify family physicians with the goal of improving health human resource planning ...
This study uses physician billing data and machine learning to identify and classify family physicians with the goal of improving health human resource planning ...
With this in mind, this study introduces and discusses the automatic emotion recognition and emotion based music generation based on this advanced technology, ...
First, it effectively deals with the concern that historical training differs from current practice by divorcing specialty categorization from residency ...
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Feb 1, 2023 · Predicting physician departure with machine learning on EHR use patterns: A longitudinal cohort from a large multi-specialty ambulatory practice.
May 23, 2023 · ML can be utilized in preoperative treatment to forecast postoperative results and assist physicians in selecting surgical interventions.
In this document, we propose a new method that combines high-dimensional data with machine learning methods to predict physician-hospital integration.
Feb 1, 2023 · Predicting physician departure with machine learning on EHR use patterns: A longitudinal cohort from a large multi-specialty ambulatory practice.
For comparison, AI and machine learning papers number 18, 77, and 8 for Academic Medicine, JAMA, and the Journal of General Internal Medicine, respectively.