Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 240 von 400
Seven pillars of precision digital health and medicine
Rapid Development of Specialty Population Registries and Quality Measures from Electronic Health Record Data
Personalised depression forecasting using mobile sensor data and ecological momentary assessment
Late-life depression and multimorbidity trajectories: the role of symptom complexity and severity
Generative AI for Medical Imaging: extending the MONAI Framework
A Fair and Safe Usage Drug Recommendation System in Medical Emergencies by a Stacked ANN
On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records
Natural language processing and machine learning to enable automatic extraction and classification of patients’ smoking status from electronic medical records
Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs
Decision support from local data: Creating adaptive order menus from past clinician behavior
An efficient data mining classification approach for detecting lung cancer disease
Leveraging clinical data across healthcare institutions for continual learning of predictive risk models
Augmenting Large Language Models with Rules for Enhanced Domain-Specific Interactions: The Case of Medical Diagnosis
Use of electronic healthcare records to identify complex patients with atrial fibrillation for targeted intervention
Predictive Modelling in pharmacokinetics: from in-silico simulations to personalized medicine
Prediction of death status on the course of treatment in SARS-COV-2 patients with deep learning and machine learning methods
Machine Learning in Robotic Ultrasound Imaging: Challenges and Perspectives
Improving Patient Cohort Identification Using Natural Language Processing
Development and Validation of a Nordic Multimorbidity Index Based on Hospital Diagnoses and Filled Prescriptions
Machine learning in medicine
Mining multi-center heterogeneous medical data with distributed synthetic learning
Multi-task Prediction of Disease Onsets from Longitudinal Lab Tests
A Review of Predictive Analytics Solutions for Sepsis Patients
Safe Classification with Augmented Features
Towards More Optimal Medical Diagnosing with Evolutionary Algorithms