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 ...
EurekAlert!

An interpretable machine learning model for predicting 5‐year survival in breast cancer based on integration of proteomics and clinical data

Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on ...
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 ...
Hosted on MSN

Build Logistic Regression From Scratch In Python – You Won'T Believe How Easy It Is!

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you understand ...
IEEE

Performance Analysis for Prediction of Trending Footwear Classification using DensNet compared with Logistic Regression model

Abstract: The purpose of this work is to investigate the effectiveness of DensNet and Logistic Regression in terms of accurately predicting the classification of footwear trends.In this study, there ...
Frontiers

Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients

Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.
IEEE

From Logistic Regression to BERT: Benchmarking Sentiment Analysis Models on E-commerce Data

Abstract: Product reviews play a crucial role in influencing consumer purchasing decisions and shaping brand perceptions. They provide valuable insights into product strengths and weaknesses, helping ...
GitHub

Logistic Regression Analysis script

Logistic Regression script. This Python-based tool enables automated binary classification analysis using logistic regression. Developed for the Strategic Exercise Information and Research unit in ...
Frontiers

GLS estimation in python to forecast gross regional domestic product using generalized space–time autoregressive seemingly unrelated regression model

1 Department of Statistics, Faculty of Science and Agriculture Technology, Universitas Muhammadiyah Semarang, Semarang, Indonesia 2 Department of Data Sciences, Faculty of Science and Agriculture ...