Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 226 von 400
Successes and challenges of artificial intelligence in cardiology
A Mathematical Model for Interpretable Clinical Decision Support with Applications in Gynecology
Predicting long-term progression of Alzheimer’s disease using a multimodal deep learning model incorporating interaction effects
Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks.
Efficiently train and validate a RapidPlan model through <scp>APQM</scp> scoring
Secondary Use of the EHR via Pseudonymisation
Deep Learning Applied to Intracranial Hemorrhage Detection
Use of Natural Language Processing of Patient-Initiated Electronic Health Record Messages to Identify Patients With COVID-19 Infection
Utilizing RxNorm to support practical computing applications: Capturing medication history in live electronic health records
Physician Specialty and Variations in Adoption of Electronic Health Records
Detecting inappropriate access to electronic health records using collaborative filtering
The role of explainability and transparency in fostering trust in AI healthcare systems: a systematic literature review, open issues and potential solutions
Forecasting migraine with machine learning based on mobile phone diary and wearable data
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
A Data Bank for the Clinician?
Early diagnostic accuracy and pathophysiologic relevance of an autopsy-confirmed Alzheimer's disease peripheral biomarker
Optimal Predictive analytics of Pima Diabetics using Deep Learning
Poisoning medical knowledge using large language models
Out-of-Domain Generalization From a Single Source: An Uncertainty Quantification Approach
Explainable AI (XAI): Explained
Exploring Perceptions and Experiences of ChatGPT in Medical Education: A Qualitative Study Among Medical College Faculty and Students in Saudi Arabia
Predicting length of stay in hospitals intensive care unit using general admission features
Enhancing the efficacy of depression detection system using optimal feature selection from EHR
Databasing the brain: from data to knowledge
A Diabetic Disease Prediction Model Based on Classification Algorithms