Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of endourology"
DOI: 10.1089/end.2018.0035
Abstract: PURPOSE Surgical performance is critical for clinical outcomes. We present a novel machine learning (ML) method of processing automated performance metrics (APMs) to evaluate surgical performance and predict clinical outcomes after robot-assisted radical prostatectomy (RARP).… read more here.
Keywords: machine learning; clinical outcomes; los; performance predict ... See more keywords
An Objective Assessment of Performance during Robotic Partial Nephrectomy: Validation and Correlation of Automated Performance Metrics With Intraoperative Outcomes.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Urology"
DOI: 10.1097/ju.0000000000001557
Abstract: PURPOSE Automated performance metrics (APMs) provide a novel approach to the assessment of surgical performance. Herein, we present a construct validation of APMs during robotic assisted partial nephrectomy (RAPN). MATERIALS AND METHODS APMs (instrument motion… read more here.
Keywords: performance; validation; partial nephrectomy; automated performance ... See more keywords
Automated Performance Modeling of HPC Applications Using Machine Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2020.2964767
Abstract: Automated performance modeling and performance prediction of parallel programs are highly valuable in many use cases, such as in guiding task management and job scheduling, offering insights of application behaviors, and assisting resource requirement estimation.… read more here.
Keywords: execution; performance; automated performance; performance modeling ... See more keywords