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Machine learning models for mitral valve replacement: A comparative analysis with the Society of Thoracic Surgeons risk score
ConclusionsThe proposed risk models complement existing STS models in predicting mortality, prolonged ventilation, and renal failure, allowing healthcare providers to more accurately assess a patient's risk of morbidity and mortality when undergoing MVS.
Source: Journal of Cardiac Surgery - October 20, 2021 Category: Cardiovascular & Thoracic Surgery Authors: Agni Orfanoudaki, Aikaterini Giannoutsou, Sabet Hashim, Dimitris Bertsimas, Robert C. Hagberg Tags: ORIGINAL ARTICLE Source Type: research

A Tool to Estimate Risk of 30-day Mortality and Complications After Hip Fracture Surgery: Accurate Enough for Some but Not All Purposes? A Study From the ACS-NSQIP Database
CONCLUSION: The models of mortality and complications we developed may be accurate enough for some uses, especially personalizing informed consent and shared decision-making with patient-specific risk estimates. However, the high false discovery rate suggests the models should not be used to restrict access to surgery for high-risk patients. Deciding which measures of accuracy to prioritize and what is "accurate enough" depends on the clinical question and use of the predictions. Discrimination and calibration are commonly used measures of overall model accuracy but may be poorly suited to certain clinical questions and ap...
Source: Clinical Orthopaedics and Related Research - July 28, 2022 Category: Orthopaedics Authors: Alex H S Harris Amber W Trickey Hyrum S Eddington Carolyn D Seib Robin N Kamal Alfred C Kuo Qian Ding Nicholas J Giori Source Type: research