IEEE

Optimizing Logistic Regression Model for Heart Disease Prediction with Machine Learning

Abstract: Nowadays, heart disease is a serious medical issue, and diagnosis is crucial to providing the proper treatment to the patient. Hence, machine learning (ML)-based early diagnosis of heart ...
Frontiers

Noninvasive prediction of EGFR 19Del and 21L858R subtypes in lung adenocarcinoma: a comparative study of logistic regression and decision tree models

1 Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China 2 Medical Imaging Research Center, Anhui Medical University, Hefei, China Objective: Despite the ...
IEEE

Converting Human Text into Database Queries Using Natural Language Processing: A Hybrid Approach with Multinomial Logistic Regression and T5

Abstract: This research introduces a novel system for converting natural language text into structured SQL queries using a hybrid [22] [23] Natural Language Processing (NLP) framework. The system ...
Frontiers

Machine learning-based prediction of hypoglycemia severity in hospitalized diabetic patients

Department of General Practice, The Affiliated Hospital of Qingdao University, Qingdao, China Objective: To identify risk factors for hypoglycemia in hospitalized patients with type 2 diabetes ...
TechCrunch

OpenAI upgrades Codex with a new version of GPT-5

OpenAI announced Monday that it’s releasing a new version of GPT-5 to its AI coding agent, Codex. The company says its new model, called GPT-5-Codex, spends its “thinking” time more dynamically than ...
GitHub

multinomial-logistic-regression

This project explores the determinants of inflation prediction errors using data from the Survey of Consumer Expectations (SCE) from 2013 to 2023 and monthly National and yearly State-level PCE. The ...