Logistic RegressionMachine LearningTrain-test splitK-FoldStratified K-FoldDiabetes is a chronic metabolic disorder causing high blood sugars, that further severely affect body parts like the heart, liver, kidney
Javascript implementation of several machine learning algorithms including Decision Tree and Logistic Regression this far. More to come. Online Demo Here's a onlinedemowith visualization and a few datasets. Data format Input files need to be in CSV-format with 1st line being feature names. One of...
Includes implementation of the logistic regression model for selection of LGG patients for either proton or photon treatment - Jkallehauge/DEPeNDS_ESAPI_script
Advances in Social Science, Education and Humanities Research, volume 436 1st Borobudur International Symposium on Humanities, Economics and Social Sciences (BIS-HESS 2019) Accuracy of Financial Distress Model Prediction: The Implementation of Artificial Neural Network, Logistic Regression, and Discriminant ...
of contact with the placebo vaccine. Comparing ORV with capture-vaccinate-release (CVR) methods, field officers were given Google Forms questions to answer. Statistical analysis was performed using univariate contingency table testi...
Propensity scores depended on the reader set assessing the examination and on the AI prediction (normal versus not normal), which were identified as a minimal adjustment set in a causal graph analysis (see below) and were computed using logistic regression. Overlap weighting was used as some ...
Table 3 Annotated Results of Logistic Regression Models for College-level Predictors Full size table Two variables significantly predicted whether a new peer educator was trained during sustainability, which included the greater number of PIPS implementation activities (OR = 1.39). In addition, high...
Continuous variables are reported as the mean (±s.d.), and categorical variables are presented as percentages. Categorical variables were analyzed with Pearson’s chi-square or Fisher’s exact tests. Univariate logistic regression analysis was used to identify clinically relevant variables associated ...
Logistic regression analyses were used to assess school adoption of SWAP IT for each trial. Meta-analyses were also conducted to pool the effects of the three trials and allow the comparison of the potential relative effects of the different strategies. Results A total of 287 schools were ...
Package provides javascript implementation of linear regression and logistic regression - chen0040/js-regression