technologynetworks

Logistic Regression

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...
ascopubs.org

The utility of multiple clinical variables in predicting survival outcome for patients with rectal cancer: An integrated regression and retrospective cohort analysis.

Patient factors related to the real-world adoption of 3 months of adjuvant chemotherapy (ACT) in patients with stage III colorectal cancer (CRC). This is an ASCO Meeting Abstract from the 2024 ASCO ...
eLife

Association between continuous glucose monitoring-derived metrics and coronary plaque vulnerability: A retrospective exploratory analysis

The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.
Visual Studio Magazine

Decision Tree Regression from Scratch with Pointers Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...