IEEE

Efficient Abstraction of Healthcare Data for Real-Time Decision Making Using Logistic Regression and Linear Regression

Abstract: Data analytics can help drive decision-making and improve patient outcomes in healthcare. But of course, healthcare data is complex, and the process to access & analyze it can be slow. Here, ...
Hosted on MSN

Build logistic regression in Python from scratch easily

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...
IEEE

Diabetes Prediction using Logistic Regression and Support Vector Machine (SVM) Classifier

Abstract: Early detection and diagnosis of diabetes are crucial for managing and treating the disease effectively. Diabetes is a chronic condition characterized by the body’s inability to produce ...
Frontiers

The place of advanced machine learning techniques in building pancreatic adenocarcinoma survival and recurrence prognosis models

Background: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy, and traditional prognostic methods, such as TNM staging, often fail to accurately predict outcomes. This review ...