Interpretable Machine Learning in Healthcare through Generalized Additive Model with Pairwise Interactions (GA2M): Predicting Severe Retinopathy of Prematurity-Reference-Cited by-同舟云学术

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Interpretable Machine Learning in Healthcare through Generalized Additive Model with Pairwise Interactions (GA2M): Predicting Severe Retinopathy of Prematurity

Published:2019-08 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML)
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Author:

Karatekin Tamer,Sancak Selim,Celik Gokhan,Topcuoglu Sevilay,Karatekin Guner,Kirci Pinar,Okatan Ali

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8870906/8876888/08876951.pdf?arnumber=8876951

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Explainable Machine Learning with Pairwise Interactions for Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Utilizing Multi-Modalities Data;Brain Sciences;2023-10-31

3. A Scoping Review on the Progress, Applicability, and Future of Explainable Artificial Intelligence in Medicine;Applied Sciences;2023-09-28

4. A Detailed Analysis of Many Different Artificial Intelligence-Based Healthcare Systems;Handbook of Research on Thrust Technologies’ Effect on Image Processing;2023-06-30

5. Tight spatial coupling of a marine predator with soniferous fishes: Using joint modelling to aid in ecosystem approaches to management;Diversity and Distributions;2023-06-09

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