Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 365 von 400
Early identification of epilepsy surgery candidates: A multicenter, machine learning study
Handwork vs machine: a comparison of rheumatoid arthritis patient populations as identified from EHR free-text by diagnosis extraction through machine-learning or traditional criteria-based chart review
Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction
The comparative analysis of SARIMA, Facebook Prophet, and LSTM for road traffic injury prediction in Northeast China
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Understanding clinical prediction models as ‘innovations’: a mixed methods study in UK family practice
Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis
Adaptive Explainable Neural Networks (Axnns)
Cervical cancer risk prediction with robust ensemble and explainable black boxes method
Human‐in‐the‐loop machine learning for healthcare: Current progress and future opportunities in electronic health records
Machine Learning-Based Risk Prediction of Malignant Arrhythmia in Hospitalized Patients with Heart Failure
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays
Cross-vendor evaluation of key user-defined clinical decision support capabilities: a scenario-based assessment of certified electronic health records with guidelines for future development
Explainable deep learning for diabetes diagnosis with DeepNetX2
Evaluating Binary Classifiers for Cardiovascular Disease Prediction: Enhancing Early Diagnostic Capabilities
Explainable AI chatbots towards XAI ChatGPT: A review
A systematic survey of fuzzy deep learning for uncertain medical data
An All-Inclusive Machine Learning and Deep Learning Method for Forecasting Cardiovascular Disease in Bangladeshi Population
Natural Language Processing: Practical Applications in Medicine and Investigation of Contextual Autocomplete
QAnalysis: a question-answer driven analytic tool on knowledge graphs for leveraging electronic medical records for clinical research
Analysis of adult disease characteristics and mortality on MIMIC-III
A deep neural network approach to predicting clinical outcomes of neuroblastoma patients
Bi-Directional Gated Recurrent Unit Based Ensemble Model for the Early Detection of Sepsis
Comparable Study of Pre-trained Model on Alzheimer Disease Classification
Spatial–Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting