Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 299 von 400
A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision
How could artificial intelligence aid in the fight against coronavirus?
Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation
Artificial intelligence for falls management in older adult care: A scoping review of nurses' role
A framework towards digital twins for type 2 diabetes
Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects
Performance of machine learning algorithms for surgical site infection case detection and prediction: A systematic review and meta-analysis
A new concept toward computer-aided medical diagnosis - a prototype implementation addressing pulmonary diseases
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
The Large Language Model ChatGPT‐4 Exhibits Excellent Triage Capabilities and Diagnostic Performance for Patients Presenting With Various Causes of Knee Pain
A Framework for Criteria-Based Selection and Processing of Fast Healthcare Interoperability Resources (FHIR) Data for Statistical Analysis: Design and Implementation Study
Modelling and analysing the dynamics of disease progression from cross-sectional studies
Predicting Conversion of Mild Cognitive Impairments to Alzheimer’s Disease and Exploring Impact of Neuroimaging
Machine Learning-Based Heart Disease Prediction: A Study for Home Personalized Care
Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records
Prognosis and Treatment Prediction of Type-2 Diabetes Using Deep Neural Network and Machine Learning Classifiers
Delay in Symptom Presentation among a Sample of Older GUM Clinic Attenders
Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms
Analysis and Study of Diabetes Follow-Up Data Using a Data-Mining-Based Approach in New Urban Area of Urumqi, Xinjiang, China, 2016-2017
Development and application of a modified dynamic time warping algorithm (DTW-S) to analyses of primate brain expression time series
Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data
Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise