IEEE

Early Detection of Parkinson’s Disease using Wearable Sensor-based Gait analysis with Logistic Regression

Abstract: In recent days, the early detection of Parkinson’s Disease (PD) from essential tremor (ET) is clinically difficult due to overlapping motor symptoms. The traditional models used wearable ...
IEEE

Advanced Financial Stress Prediction Using Random Forest and Logistic Regression: A Machine Learning Approach

Abstract: This research aims to develop a model that utilizes technology to assess the level of financial hardship in companies in Indonesia. Over the period 2013 to 2023, 324 companies from various ...
GitHub

Multi-Niche Misinformation Detection

A modular text classification system that detects misinformation across multiple domains. Each niche has its own dataset, labeling rules, and baseline models (TF-IDF + Logistic Regression / Linear SVM ...
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 ...