Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 364 von 400
Does big data require a methodological change in medical research?
Time-series deep survival prediction for hemodialysis patients using an attention-based Bi-GRU network
A Comparative Study and Systematic Analysis of XAI Models and their Applications in Healthcare
A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction
Recent Context-Aware LSTM for Clinical Event Time-Series Prediction
Novel phenotype–disease matching tool for rare genetic diseases
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
Adapting Surgical Models to Individual Hospitals Using Transfer Learning
Benchmarking Large Language Models in Evidence-Based Medicine
Deep Learning Models for Intracranial Hemorrhage Recognition: A comparative study
Staging dementia based on caregiver reported patient symptoms: Implications from a latent class analysis
Using Electronic Health Records to Mitigate Workplace Burnout Among Clinicians During the COVID-19 Pandemic: Field Study in Iran
How much data should we collect? A case study in sepsis detection using deep learning
Using natural language processing methods to classify use status of dietary supplements in clinical notes
Non-negative matrix factorization temporal topic models and clinical text data identify COVID-19 pandemic effects on primary healthcare and community health in Toronto, Canada
Machine learning-based cluster analysis identifies four unique phenotypes of patients with degenerative cervical myelopathy with distinct clinical profiles and long-term functional and neurological outcomes
Machine learning for predicting in-hospital mortality in elderly patients with heart failure combined with hypertension: a multicenter retrospective study
From statistical to causal learning
Data Mining in Biomedicine: Current Applications and Further Directions for Research
Recent advances in Big Data Analytics, Internet of Things and Machine Learning
Almanac: Retrieval-Augmented Language Models for Clinical Medicine
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty
NSGA‐II‐XGB: Meta‐heuristic feature selection with XGBoost framework for diabetes prediction