首页|Studies from Langara College Describe New Findings in Machine Learning (Compact Machine Learning Model for the Accurate Prediction of First 24-hour Survival of Mechanically Ventilated Patients)
Studies from Langara College Describe New Findings in Machine Learning (Compact Machine Learning Model for the Accurate Prediction of First 24-hour Survival of Mechanically Ventilated Patients)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating from Vancouver, Canada, by N ewsRx correspondents, research stated, “The field of machinelearning has been e volving and applied in medical applications. We utilised a public dataset, MIMIC -III,to develop compact models that can accurately predict the outcome of mecha nically ventilated patientsin the first 24 h of first-time hospital admission.M ethods 67 predictive features, grouped into 6 categories,were selected for the classification and prediction task. 4 tree-based algorithms (Decision Tree, Bagg ing,eXtreme Gradient Boosting and Random Forest), and 5 non-tree-based algorith ms (Logistic Regression,K-Nearest Neighbour, Linear Discriminant Analysis, Supp ort Vector Machine and Na & iuml;ve Bayes),were employed to predi ct the outcome of 18,883 mechanically ventilated patients. 5 scenarios were crafted to mirror the target population as per existing literature.”
VancouverCanadaNorth and Central Ame ricaAlgorithmsCyborgsEmerging TechnologiesMachine LearningLangara Coll ege
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