Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction

Author:

Wu Yang1ORCID,Li Xurui2ORCID,Zhang Xuhong3ORCID,Kang Yangyang2ORCID,Sun Changlong2ORCID,Liu Xiaozhong1ORCID

Affiliation:

1. Worcester Polytechnic Institute, Worcester, MA, USA

2. Alibaba Group, Hangzhou, China

3. Indiana University Bloomington, Bloomington, IN, USA

Publisher

ACM

Reference49 articles.

1. Effects of Milk and Dairy Product Consumption on Type 2 Diabetes: Overview of Systematic Reviews and Meta-Analyses

2. Do Not Have Enough Data? Deep Learning to the Rescue!

3. John Arevalo , Thamar Solorio , Manuel Montes-y Gómez, and Fabio A González . 2017 . Gated multimodal units for information fusion. arXiv preprint arXiv:1702.01992 (2017). John Arevalo, Thamar Solorio, Manuel Montes-y Gómez, and Fabio A González. 2017. Gated multimodal units for information fusion. arXiv preprint arXiv:1702.01992 (2017).

4. Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction

5. Seth A Berkowitz , Katherine Aragon , Jonas Hines , Hilary Seligman , Sei Lee , and Urmimala Sarkar . 2013. Do clinical standards for diabetes care address excess risk for hypoglycemia in vulnerable patients? A systematic review. Health services research 48, 4 ( 2013 ), 1299--1310. Seth A Berkowitz, Katherine Aragon, Jonas Hines, Hilary Seligman, Sei Lee, and Urmimala Sarkar. 2013. Do clinical standards for diabetes care address excess risk for hypoglycemia in vulnerable patients? A systematic review. Health services research 48, 4 (2013), 1299--1310.

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