Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 308 von 400
Big Data in mental health: a challenging fragmented future
Interpretable Neural Predictions with Differentiable Binary Variables
Ensembles of randomized trees using diverse distributed representations of clinical events
Predicting mortality over different time horizons: which data elements are needed?
Improvement of Adequate Use of Warfarin for the Elderly Using Decision Tree-based Approaches
The Biological and Biographical Basis of Precision Medicine
Artificial Intelligence in Anesthesiology: Hype, Hope, and Hurdles
A strategy for cost-effective large language model use at health system-scale
Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm
Automated extraction of potential migraine biomarkers using a semantic graph
Enhancing lung abnormalities diagnosis using hybrid DCNN-ViT-GRU model with explainable AI: A deep learning approach
ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision
The Road Ahead: Emerging Trends, Unresolved Issues, and Concluding Remarks in Generative AI—A Comprehensive Review
Comparison of the Accuracy, Completeness, Reproducibility, and Consistency of Different AI Chatbots in Providing Nutritional Advice: An Exploratory Study
Temporally informed random forests for suicide risk prediction
Clinical time series prediction: Toward a hierarchical dynamical system framework
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models
Assessing the usefulness of a large language model to query and summarize unstructured medical notes in intensive care
MLT-DFKI at CLEF eHealth 2019: Multi-label Classification of ICD-10 Codes with BERT.
A Review of Clinical Prediction Models
Predicting Discharge Dates From the NICU Using Progress Note Data
Extracting Drug Names and Associated Attributes From Discharge Summaries: Text Mining Study
Prediction of Severity of COVID-19-Infected Patients Using Machine Learning Techniques
External features enriched model for biomedical question answering
Advancements in Deep Learning Theory and Applications: Perspective in 2020 and beyond