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 ...
IEEE

Gender Classification Using K-Nearest Neighbors and Logistic Regression Models

Abstract: This work provides a hybrid model for gender identification integrating face features with logistic regression with K-Nearest Neighbors. The model reached an amazing accuracy of 96% with a ...
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 ...
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

Prediction of Employee Attrition Classification and Retention Strategies Using Gradient Boosting with Binary Logistic Regression

Abstract: A voluntary or involuntary parting of an employee from an organization is known as and the strategies to maintain an employee are known as Employee attrition (turnover) and retention.
GitHub

sipemu/nonparametric-functional-data-analysis

The nfda package provides state-of-the-art nonparametric methods for functional data analysis in R. It implements kernel-based regression and classification techniques for functional data, with ...