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The performance of the different prediction models on T2D readmission
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Image Search Results


The performance of the different prediction models on T2D readmission

Journal: BMC Medical Informatics and Decision Making

Article Title: The 30-days hospital readmission risk in diabetic patients: predictive modeling with machine learning classifiers

doi: 10.1186/s12911-021-01423-y

Figure Lengend Snippet: The performance of the different prediction models on T2D readmission

Article Snippet: The NB classification model was built on the basis of given training data by the Naive Bayes Learner node in KNIME, which calculated the number of rows per attribute value per class for nominal attributes and the Gaussian distribution for numerical attributes.

Techniques:

Results classified by each question type

Journal: Health Data Science

Article Title: ECG-LM: Understanding Electrocardiogram with a Large Language Model

doi: 10.34133/hds.0221

Figure Lengend Snippet: Results classified by each question type

Article Snippet: , Multi-Modal understanding and generation for medical images and text via vision-language pre-training (MedViLL) [ ] , 0.739 , 0.541 , 0.404 , 0.561.

Techniques: