Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 254 von 400
A Pragmatic Ensemble Strategy for Missing Values Imputation in Health Records
Machine Learning Explainability in Breast Cancer Survival
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals
Enhanced XGBoost-Based Automatic Diagnosis System for Chronic Kidney Disease
Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare
Optimizing artificial intelligence in sepsis management: Opportunities in the present and looking closely to the future
KAICD: A knowledge attention-based deep learning framework for automatic ICD coding
Obtaining EHR-derived datasets for COVID-19 research within a short time: a flexible methodology based on Detailed Clinical Models
deepBioWSD: effective deep neural word sense disambiguation of biomedical text data
Prediction of Diabetes Complications Using Computational Intelligence Techniques
Precision Medicine 2.0: How Digital Health and AI Are Changing the Game
Atherosclerosis disease prediction using Supervised Machine Learning Techniques
The natural language explanation algorithms for the lung cancer computer-aided diagnosis system
Electronic health records: a new tool to combat chronic kidney disease?
Trends and opportunities in computable clinical phenotyping: A scoping review
Use of generalised additive models to categorise continuous variables in clinical prediction
Machine learning-based in-hospital mortality risk prediction tool for intensive care unit patients with heart failure
Modeling Research Topics for Artificial Intelligence Applications in Medicine: Latent Dirichlet Allocation Application Study
Dynamic Clinical Data Mining: Search Engine-Based Decision Support
Prediction of Diabetes Using Machine Learning: Analysis of 70,000 Clinical Database Patient Record
Predicting ICD-9 code groups with fuzzy similarity based supervised multi-label classification of unstructured clinical nursing notes
A systematic review of generative adversarial imputation network in missing data imputation
Developing an artificial intelligence-based headache diagnostic model and its utility for non-specialists’ diagnostic accuracy
Semi-supervised learning to improve generalizability of risk prediction models
Behind the scenes: A medical natural language processing project