Methods We used deep learning methods (recurrent neural networks) to predict several severe complications (mortality, renal failure with a need for renal replacement therapy, and postoperative bleeding leading to operative revision) in post cardiosurgical care in real time. Adult patients who underwent...
The duration of hypertension, DDD of antihypertensive medication, PAC, and BMI were non-linearly related to the prediction of complete clinical success. The developed predictive model may be useful in assessing the benefit of unilateral adrenalectomy and in selecting surgical treatment and ...
Machine learning (ML) is a rapidly advancing field with increasing utility in health care. We conducted a systematic review and critical appraisal of ML applications in vascular surgery. MEDLINE, Embase, and Cochrane CENTRAL were searched from inception
patient demographics, machine learning models, definitions of scoliosis progression, identified risk factors and prediction results. This review primarily analyzes the following factors: 1. the machine learning models used were as follows: 2. the input risk factors. We focused exclusively on curve predi...
Machine learning-based prediction of surgical benefit in borderline resectable and locally advanced pancreatic cancer Introduction Surgery represents a primary therapeutic approach for borderline resectable and locally advanced pancreatic cancer (BR/LAPC). However, BR/LAPC... Z Leiming,Y Zehao,YDY Rong ...
. Results showed that the support vector machine learning methods performed well, followed by nearest neighbour, based on out-of-sample AUCs of 0.89 (in-sample = 0.99) and 0.85 (in-sample = 0.99) for the first indicator, respectively. These models can be implemented in the registry databases...
However, the efficacy and reliability of these integrated scoring systems also warrant further investigation and validation [9,10] The decision-making process regarding the necessity and timing of surgical intervention for BO, as well as the prediction of stoma creation or bowel resection, largely ...
For example in aviation like taking off and the use of a pre-flight checklist. Also in medicine with surgical checklists and other fields such as safety compliance. For more information on checklists see the book “The Checklist Manifesto: How to Get Things Right“. ...
In this thesis, I designed, implemented, and tested a machine learning learning system designed to crowd-source feature discovery called Feature Factory. F... AC Wang 被引量: 3发表: 2015年 Biomechanics-machine learning system for surgical gesture analysis and development of technologies for minimal...
Conclusion We developed combined radiomics and clinical machine learning models with better performance than radiomics or clinical alone, which were used to accurate predict 3 years PFS and OS of non-surgical ESCC patients. The prediction results could provide a reference for clinical decision.Introducti...