AIMC Topic: Machine Learning

Clear Filters Showing 29911 to 29920 of 34417 articles

Healthcare LLMs Go to Market: A Realist Review of Product Launch News.

Studies in health technology and informatics Aug 22, 2024
We provide a realist review of product launches for Large Language Models (LLMs) in the healthcare industry. Through a systematic search in the Factiva database and the application of a Context, Intervention, Mechanism, Outcome (CIMO) framework, we i...
Delivery of Health Care Machine Learning Humans Digital Health Artificial Intelligence
View on PubMed DOI

Machine Learning-Based Predictive Models for Early Detection of Cardiovascular Diseases: A Study Utilizing Patient Samples from a Tertiary Health Promotion Center in Korea.

Studies in health technology and informatics Aug 22, 2024
A machine learning model was developed for cardiovascular diseases prediction based on 21,118 patient checkups data from a tertiary medical institution in Seoul, Korea, collected between 2009 and 2021. XGBoost algorithm showed the highest predictive ...
Male Cardiovascular Diseases Humans Republic of Korea Machine Learning Female Algorithms Middle Aged Health Promotion Tertiary Care Centers Early Diagnosis
View on PubMed DOI

Synthetic Generation of Patient Service Utilization Data: A Scalability Study.

Studies in health technology and informatics Aug 22, 2024
To address privacy and ethical issues in using health data for machine learning, we evaluate the scalability of advanced synthetic data generation methods like GANs, VAEs, copulaGAN, and transformer models specifically for patient service utilization...
Models, Statistical Electronic Health Records Canada Humans Machine Learning
View on PubMed DOI

Enhancing Asthma Self-Management with Environmental Passive-Monitoring Data and Machine Learning-Based Predictions.

Studies in health technology and informatics Aug 22, 2024
Monitoring enables timely action which is critical in avoiding asthma attacks. With the abundance of local weather and pollution data, when augmented with machine learning, it is becoming possible to replace traditional tedious active monitoring in c...
Humans Machine Learning Self-Management Asthma Environmental Monitoring
View on PubMed DOI

On Entity Embeddings for Ordinal Features as Representation Learning in Recurrence Prediction of Urothelial Bladder Cancer.

Studies in health technology and informatics Aug 22, 2024
BACKGROUND: Urothelial Bladder Cancer (UBC) is a common cancer with a high risk of recurrence, which is influenced by the TNM classification, grading, age, and other factors. Recent studies demonstrate reliable and accurate recurrence prediction usin...
Machine Learning Algorithms Neoplasm Recurrence, Local Urinary Bladder Neoplasms Humans Neural Networks, Computer
View on PubMed DOI

Performance of a NLP Tool for Text Classification from Orthopaedic Operative Reports, Using Data from the Large Network of Clinical Data Warehouses of the West of France: The HACRO-HUGORTHO Project.

Studies in health technology and informatics Aug 22, 2024
Electronic health data concerning implantable medical devices (IMD) opens opportunities for dynamic real-world monitoring to assess associated risks related to implanted materials. Due to population ageing and expanding demands, total hip, knee, and ...
Orthopedic Procedures Natural Language Processing France Humans Machine Learning Electronic Health Records
View on PubMed DOI

Leveraging Rule-Based NLP to Translate Textual Reports as Structured Inputs Automatically Processed by a Clinical Decision Support System.

Studies in health technology and informatics Aug 22, 2024
Using clinical decision support systems (CDSSs) for breast cancer management necessitates to extract relevant patient data from textual reports which is a complex task although efficiently achieved by machine learning but black box methods. We propos...
Decision Support Systems, Clinical Natural Language Processing Female Breast Neoplasms Data Mining Humans Machine Learning Electronic Health Records
View on PubMed DOI

Emergency Department Length of Stay Classification Based on Ensemble Methods and Rule Extraction.

Studies in health technology and informatics Aug 22, 2024
This study employs machine learning techniques to identify factors that influence extended Emergency Department (ED) length of stay (LOS) and derives transparent decision rules to complement the results. Leveraging a comprehensive dataset, Gradient B...
Machine Learning Length of Stay Triage Humans Emergency Service, Hospital
View on PubMed DOI

Remote Monitoring, AI, Machine Learning and Mobile Ultrasound Integration upon 5G Internet in the Prehospital Care to Support the Golden Hour Principle and Optimize Outcomes in Severe Trauma and Emergency Surgery.

Studies in health technology and informatics Aug 22, 2024
AIM: Feasibility and reliability evaluation of 5G internet networks (5G IN) upon Artificial Intelligence (AI)/Machine Learning (ML), of telemonitoring and mobile ultrasound (m u/s) in an ambulance car (AC)- integrated in the pre-hospital setting (PS)...
Wounds and Injuries Feasibility Studies Telemedicine Reproducibility of Results Ultrasonography Humans Artificial Intelligence Emergency Medical Services Machine Learning Internet
View on PubMed DOI

Exploring Hospital Overcrowding with an Explainable Time-to-Event Machine Learning Approach.

Studies in health technology and informatics Aug 22, 2024
Emergency department (ED) overcrowding is a complex problem that is intricately linked with the operations of other hospital departments. Leveraging ED real-world production data provides a unique opportunity to comprehend this multifaceted problem h...
Humans Triage Emergency Service, Hospital Crowding Machine Learning Length of Stay
View on PubMed DOI
Popular Topics
Recent Journals