Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 293 von 400
Pre-trained language models in medicine: A survey
The role of machine learning in HIV risk prediction
Cohort selection for clinical trials using hierarchical neural network
Approximating dementia prevalence in population‐based surveys of aging worldwide: An unsupervised machine learning approach
Knowledge Graph Embeddings for ICU readmission prediction
Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning
StratMed: Relevance stratification between biomedical entities for sparsity on medication recommendation
“It’s like texting at the dinner table”: A qualitative analysis of the impact of electronic health records on patient-physician interaction in hospitals
LRTD: long-range temporal dependency based active learning for surgical workflow recognition
SAFS: A deep feature selection approach for precision medicine
Generative <scp>AI</scp> and simulation modeling: how should you (not) use large language models like <scp>ChatGPT</scp>
The clinical pharmacist’s role in enhancing the relevance of a clinical decision support system
Natural Language Processing for Adjudication of Heart Failure in a Multicenter Clinical Trial
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records
ChatGPT: when the artificial intelligence meets standardized patients in clinical training
A stacking-based model for predicting 30-day all-cause hospital readmissions of patients with acute myocardial infarction
Deep generative learning for automated EHR diagnosis of traditional Chinese medicine
Artificial Intelligence Algorithms and Natural Language Processing for the Recognition of Syncope Patients on Emergency Department Medical Records
Methods to identify dementia in the electronic health record: Comparing cognitive test scores with dementia algorithms
Recurrent disease progression networks for modelling risk trajectory of heart failure
Bringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach Us
Daily Morbidity Records: Recall and Reliability
De-identification of medical records using conditional random fields and long short-term memory networks
Diagnostic accuracy of large language models in psychiatry