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, ...
Deep Learning with Yacine on MSNOpinion

Reduced row echelon form (RREF) in Python – algorithm from scratch

Learn how to implement the Reduced Row Echelon Form (RREF) algorithm from scratch in Python! Step-by-step, we’ll cover the ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Learn With Jay 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

Vectorized code implementation of Logistic Regression and Artificial Neural Networks to recognize handwritten digit

Abstract: This paper presents the development of a Machine learning model through implementation of two algorithms namely Logistic Regression and Artificial Neural Networks to recognize handwritten ...