In transactional systems where past transactions can have impact on the current score of a machine learning based decision model, the transactions that are most responsible for the score and the associated reasons are determined by the transactional system. A system and method identifies such past ...
machine learning to predict outcomes of endovascular intervention for patients with pad benli,md 1,2,3,4 ; blair e.warren,md 5 ; naomieisenberg,pt, med, ccrp 6 ; et al derekbeaton,phd 7 ; douglas s.lee,md, phd 8,9,10 ; badraljabri,md 11 ; rajverma,md(c) 12 ; duminda n....
Unilateral subtype of primary aldosteronism (PA) is a common surgically curable form of endocrine hypertension. However, more than half of the patients with PA who undergo unilateral adrenalectomy suffer from persistent hypertension, which may discourage
Finally, each of the SAS, ASES, Constant, and SPADI scores had similarly large SRM and ES responsiveness. Discussion The 6 question SAS score is an efficient TSA-specific outcome measure with equivalent or better validity, responsiveness, and clinical interpretability as 5 other historical assessment...
eTable 1.Mean and Standard Deviation Scores for Each of the 21 Items on the HRSD21 Report at the Baseline Visit, the Week 8 Clinical Visit on the Entire Dataset eTable 2.The C-Indices of the Machine Learning Models on the Improvement Prediction (Reduction in HRSD Score) Using Baseline HRS...
Across jurisdictions, government and health insurance providers hold a large amount of data from patient interactions with the healthcare system. We aimed to develop a machine learning-based model for predicting adverse outcomes due to diabetes complicat
Use of Machine Learning Consensus Clustering to Identify Distinct Subtypes of Black Kidney Transplant Recipients and Associated Outcomes 2022, JAMA Surgery Recipient APOL1 risk alleles associate with death-censored renal allograft survival and rejection episodes 2021, Journal of Clinical Investigation Recurrent...
This investigation used two popular machine learning approaches to identify the relative significance of key factors associated with multiple sleep outcomes, including bedtime, sleep duration, and social jetlag, in a diverse sample of adolescents. Methods Participants were 3,381 adolescents from the age...
Furthermore, whilst methods such as logistic regression are suitable for identifying relationships and performing basic predictions, through the application of machine learning, generalised linear models can be outperformed20. The application of machine learning within orthopaedic medicine is a growing area,...
Development of BE-DICT, an attention-based deep learning model predicting base editing outcomes Fig. 2: BE-DICT: A machine learning model for predicting base editing outcomes. BE-DICT can be utilized to predict editing efficiencies at endogenous loci and predominantly puts attention to bases flankin...