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How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
The American Journal of Managed Care

AI Model Accurately Predicts PH Risk in Patients With CKD

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
Lupus Science & Medicine

Detection rate, demographic associations and clinical implications of anti-C1q antibody elevations across diverse disease states

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...
eLife

Critique of impure reason: Unveiling the reasoning behaviour of medical large language models

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
Infectious Disease Advisor

Independent Risk Factors Identified for Drug-Related Candidiasis

Female sex at birth, age of 65 years or older, and 32 specific medications were identified as factors for drug-related candidiasis.

More friends, more division: Study finds growing social circles may fuel polarization

Between 2008 and 2010, polarization in society increased dramatically alongside a significant shift in social behavior: the ...
The Lancet

Real-time risk prediction model for sepsis in patients with acute gastrointestinal bleeding: development and multicenter validation of a dynamic monitoring tool

bEmergency Department, Qilu Hospital of Shandong University (Qingdao), Qingdao, China cEmergency Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China ...
BMJ Open

Prospective cohort study on the characteristics of acute poisoning patients at a tertiary care hospital in Pakistan

Objective This study aimed to determine the characteristics of acute poisoning patients. Design This was a prospective cohort study. Setting The study was conducted for 1 year (1 July 2023 to 30 June ...
BMJ Global Health

Knowledge, attitudes and practices survey on antimicrobial resistance and stewardship among pharmacy healthcare workers in 28 African countries

Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...
Journal of Medical Ethics

Respecting the right to refuse: is decision-making capacity disproportionately challenged in patients declining medical care in order to treat?

Objective This study aimed to determine the proportion of capacity challenges for refusal of care, the risk factors that may ...
IEEE

A Comparative Analysis of Logistic Regression and Decision Trees for Mortality Risk Prediction using Laboratory Data

Abstract: Predicting clinical outcomes, particularly mortality risk, is a crucial aspect of patient care and management in the medical field. Numerous studies have employed various methods to improve ...
IEEE

Stacking Models for Employee Attrition Prediction: Leveraging Logistic Regression and Random Forest

Abstract: Employee Attrition poses significant challenges to organizations, impacting productivity, morale, and overall operational efficiency. By leveraging advanced data analytics and machine ...