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 data preprocessing. If you''ve ever built a predictive model, worked on a ...
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 ...
Physicians Committee

AI-Driven “Patient Avatars” Aim to Replace Animal Testing and Predict Drug Toxicity

Study in a Sentence: Cedars-Sinai researchers are developing KronosRx, an artificial intelligence-powered platform that uses human-derived organoids and deep-learning models to forecast adverse drug ...
TechCrunch

VCs predict enterprises will spend more on AI in 2026 — through fewer vendors

Enterprises have been piloting and testing different AI tools for the past few years to figure out what their adoption strategy will look like. Investors think that period of experimentation is coming ...
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 ...
InfoQ

Vitest Team Releases Version 4.0 with Stable Browser Mode and Visual Regression Testing

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Scientific Research Publishing

Statistical Analysis of a Diabetes Dataset and the Impact of Principal Component Analysis on Prediction Accuracy ()

Department of Industrial and Systems Engineering, North Carolina A & T State University, Greensboro, NC, USA. According to the Centers for Disease Control and Prevention (CDC), diabetes is a long-term ...
GitHub

SarahRoWo/Logistic_Regression_Python_MI_Paper

This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...
STAT

This Ohio health system tested an AI tool to predict sepsis. Here’s how it went

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...
Frontiers

Applying a logistic regression-clustering joint model to analyze the causes of prolonged pre-analytic turnaround time for urine culture testing in hospital wards

1 Clinical Laboratory, Dongyang People’s Hospital, Dongyang, Zhejiang, China 2 Clinical Laboratory, The Second People’s Hospital of Yuhuan City, Yuhuan, Zhejiang, China Introduction: In this study, we ...