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Acute coronary syndromeDiagnosisMachine learningThe aim of this study is to predict acute coronary syndrome (ACS) requiring revascularization in those patients presenting early-stage angina-like symptom using machine learning algorithms. We obta......
Deep assessment of machine learning techniques using patient treatment in acute abdominal pain in children 来自 NCBI 喜欢 0 阅读量: 76 作者:M Blazadonakis,V Moustakis,G Charissis 摘要: Learning from patient records may aid knowledge acquisition and decision making. Existing inductive machine ...
Two Episodes of Acute Illness in a Machine Shop.Two Episodes of Acute Illness in a Machine Shop.Abstract: Following an explosion in a machine shop and temporary plant closure, on the day the plant returned to full operations a degreaser malfunctioned. Workers in the assembly room were exposed ...
Using machine learning methods to analyze the fatigue status of medical security personnel and the factors influencing fatigue (such as BMI, gender, and wearing protective clothing working hours), with the goal of identifying the key factors contributing
Le coefficient de corrélation intra-classe était de 0,775 (intervalle de confiance à 95 %, 0,685-0,842; p < 0,001). Conclusions La mesure de la réserve de flux coronaire par coronarographie par tomodensitométrie a été associée à une efficacité diagnostique élevée pour ce qui...
et al. Higher CD34+ and CD3+ cell doses in the graft promote long-term survival, and have no impact on the incidence of severe acute or chronic graft-versus-host disease after in vivo T cell-depleted unrelated donor hematopoietic stem cell transplantation in children.Biol. Blood Marrow Trans...
e Coronary Syndrome TCTAP A-010 A Machine Learning-Based Approach to Prediction of Acute Coronary SyndromeTCTAP A-010 A Machine Learning-Based Approach to Prediction of Acute Coronary Syndromedoi:10.1016/j.jacc.2015.03.057Ji Young ParkYung-Kyun Noh...
A dataset of 960 of ACS patients from the Malaysian National Cardiovascular Disease Database registry was employed and trained on three popular machine learning classifiers i.e. Nave Bayes, Decision Tree and Neural Network to predict ACS outcome. The outcome being evaluated was whether the patient ...
Acute-on-chronic liver failure(ACLF)is a syndrome that occurs in patients with chronic liver disease and is characterized by acute decompensation,organ failure and high short-term mortality.Partially due to the lack of universal diagnostic criteria,the actual ACLF prevalence remains unclear;nevertheless...