Devdiscourse

AI-adopting firms have lower distress risk and clearer predictive patterns

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

IIT Madras Free Machine Learning, AI Course 2026: Registration Open, Apply Here

Learners who wish to receive a certificate must register for the exam scheduled on April 17, 2026, which will be conducted in two sessions - 9:30 am to 12:30 pm and 2 pm to 5 pm ...
IEEE

Factor Screening for Equivalence Ratio Measurement Modeling: A Hybrid Approach Integrating Random Forest Algorithm and Support Vector Regression

Abstract: Measuring the equivalence ratio using flame spectral data is a key focus in combustion diagnostic techniques. Traditional methods rely on chemiluminescent bands with distinct spectral ...
IEEE

Diabetic Retinopathy Classification: Evaluating Logistic Regression and Random Forest for Medical Diagnosis

Abstract: Diabetic retinopathy (DR) is an insidious ocular complication, with its initial stages being asymptomatic; therefore, accurate detection at an early stage is required to prevent severe ...
Frontiers

Risk factors for hematuria during indwelling urinary catheterization in acute myocardial infarction: a comparative analysis using logistic regression and decision tree

Objective: This study aimed to systematically identify risk factors for urinary catheter-related hematuria in patients with acute myocardial infarction (AMI). By integrating logistic regression and ...