Machine learning model predicts serious transplant complications months before symptoms appear

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Clinicians as team leads may raise the odds AI improves care, study suggests

Over the last decade, the use of artificial intelligence (AI) in health care has risen significantly, but AI-driven innovations in health care delivery have not fully met expectations. Research on the ...
Journal of Medical Internet Research

Data Poisoning Vulnerabilities Across Health Care Artificial Intelligence Architectures: Analytical Security Framework and Defense Strategies

Objective: This study provides a comprehensive threat analysis of data poisoning vulnerabilities across major health care AI architectures. The goals are to (1) identify attack surfaces in clinical AI ...
The Lancet

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
beautypackaging

Dove Men+Care Launches New Mood-Boosting Deodorant

Dove Men+Care is continuing to raise the bar with the launch of its new Mood-Boosting Aluminum-free Deodorant Collection, designed to deliver more than just odor protection. The Mood-Boosting ...
Journal of Medical Internet Research

Patients’ Experiences With Using a Digital Platform for Chat-Based Consultation in Primary Health Care in Sweden: Qualitative Study

Objective: This study aims to explore patients’ experiences using the digital platform 1177-direkt for chat-based consultations in Swedish primary health care, with a focus on understanding their ...
IEEE

Detection of Referral Inefficiency at First Level Health Facilities in BPJS using the Light Gradient Boosting Machine Algorithm

Abstract: The referral system in the National Health Insurance program aims to optimize the function of First Level Health Facilities as an initial health service filter. However, practice in the ...
IEEE

Multi-View Disparity Estimation Using the Gradient Consistency Model

Abstract: Variational approaches to disparity estimation typically use a linearised brightness constancy constraint, which only applies in smooth regions and over small distances. Accordingly, current ...
Scientific Research Publishing

Friedman, J. H. (2001). Greedy Function Approximation: A Gradient Boosting Machine. The Annals of Statistics, 29, 1189-1232.

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...
Scientific Research Publishing

Chen, T., & Guestrin, C. (2016). XGBoost: A Scalable Tree Boosting System. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ...

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...