Medical Xpress

Regression approach outperforms ML algorithms in predicting optimal surgical method in submucosal tumor patients

Submucosal tumors (SMTs) are usually found in the stomach and esophagus during an upper endoscopy. Submucosal tunneling endoscopic resection (STER) and non-tunneling endoscopic resection (NTER) are ...
eWeek

What is Logistic Regression? A Comprehensive Guide

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
ascopubs.org

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

We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University of ...
British Journal of Ophthalmology

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
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 ...