Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
IEEE

Efficient Anomaly Detection in IoT Networks Using Logistic Regression and SMOTE

Abstract: This research explores the application of the Logistic Regression Classifier for anomaly detection in IoT networks, utilizing the RT-IoT2022 dataset. The study focuses on identifying normal ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Investing

InvestingPro’s Fair Value model predicted Figure Technology’s 52% collapse

In a remarkable validation of its analytical capabilities, Investing.com’s Fair Value model accurately identified Figure Technology Solutions, Inc. (NASDAQ:FIGR) as significantly overvalued in ...
IEEE

Heart Disease Prediction Using Logistic Regression

Abstract: Cardiovascular diseases (CVDs) are one of the leading causes of death worldwide, and early identification is crucial to improve the patient’s prognosis. Traditional diagnostic methods for ...