Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 377 von 400
In-hospital mortality risk stratification of Asian ACS patients with artificial intelligence algorithm
Electronic Health Records in Mental Health Research: A Framework for Developing Valid Research Methods
Deep Learning based Transcribing and Summarizing Clinical Conversations
Electronic medical records as a source of real-world clinical data
ChatGPT to Enhance Learning in Dental Education at a Historically Black Medical College
Comparison of machine learning algorithms for automatic prediction of Alzheimer disease
Artificial intelligence in personalized medicine: transforming diagnosis and treatment
Towards plug-and-play integration of archetypes into legacy electronic health record systems: the ArchiMed experience
Deep learning in biomedical informatics
Adversarial Time-to-Event Modeling
Protocol for the development of the Wales Multimorbidity e-Cohort (WMC): data sources and methods to construct a population-based research platform to investigate multimorbidity
Artificial Intelligence Approach to Predict the COVID-19 Patient’s Recovery
SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data
Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study
Implementing a Real-Time Electronic Data Capture System to Improve Clinical Documentation in Radiation Oncology
Explainable Mortality Prediction Model for Congestive Heart Failure with Nature-Based Feature Selection Method
FlauBERT vs. CamemBERT: Understanding patient's answers by a French medical chatbot
ChatGPT: A test drive
Applications of Machine Learning in Medicine: Current Trends and Prospects
Revolutionizing cardiovascular health: integrating deep learning techniques for predictive analysis of personal key indicators in heart disease
Applications of artificial intelligence in dementia research
Predicting the Progression of Chronic Kidney Disease: A Systematic Review of Artificial Intelligence and Machine Learning Approaches
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations
Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning
PRIM versus CART in subgroup discovery: When patience is harmful