Visual Studio Magazine

How to Do Logistic Regression Using ML.NET

Microsoft Research's Dr. James McCaffrey show how to perform binary classification with logistic regression using the Microsoft ML.NET code library. The goal of binary classification is to predict a ...
ascopubs.org

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams

TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma We trained models using logistic regression (LR) and four commonly used ML ...
The American Journal of Managed Care

Study Identifies Key Predictors of Successful CD3+ Cell Apheresis for CAR T Manufacturing in DLBCL

The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...
ascopubs.org

Using Machine Learning to Predict Unplanned Hospital Utilization and Chemotherapy Management From Patient-Reported Outcome Measures

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Clinical trial data were used and contained ...
EurekAlert!

Traditional regression approach outperformed machine learning algorithms in predicting optimal surgical method in patients with submucosal tumors.

Step 1 was selecting the training cohort (n = 184) and the internal validation cohort (n = 62) by random seeds; Step 2 was selecting the optimal parameters through five times ten-fold cross-validation ...