ChroNet: A multi-task learning based approach for prediction of multiple chronic diseases
- 29 January 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Multimedia Tools and Applications
- Vol. 81 (29), 41511-41525
- https://doi.org/10.1007/s11042-020-10482-8
Abstract
No abstract availableKeywords
Funding Information
- Department of Education of Zhejiang Province (No.K17-511120-017, No.K17-518051-021, No.K18-511120-004)
- National Natural Science Foundation of China (No.61672453)
- National Science Foundation (CCF-1617735)
- National Key R & D Program of China (No.2019YFB1404802, No.2019YFC0118802, No. 2018AAA0102100)
- Zhejiang public welfare technology research project (No.LGF20F020013)
This publication has 23 references indexed in Scilit:
- Disease Prediction by Machine Learning Over Big Data From Healthcare CommunitiesIEEE Access, 2017
- XGBoostPublished by Association for Computing Machinery (ACM) ,2016
- Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic reviewJournal of the American Medical Informatics Association, 2016
- Comparison of body mass index (BMI) with the CUN-BAE body adiposity estimator in the prediction of hypertension and type 2 diabetesBMC Public Health, 2015
- Predicting hypertension without measurement: A non-invasive, questionnaire-based approachExpert Systems with Applications, 2015
- Hypertension is an independent risk factor for type 2 diabetes: the Korean genome and epidemiology studyHypertension Research, 2015
- Going deeper with convolutionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network ParserPublished by Association for Computational Linguistics (ACL) ,2015
- The Impact of Mobile Health Interventions on Chronic Disease Outcomes in Developing Countries: A Systematic ReviewTelemedicine and e-Health, 2014
- Tackling Non-Communicable Diseases In Low- and Middle-Income Countries: Is the Evidence from High-Income Countries All We Need?PLoS Medicine, 2013