Embedding-based link predictions to explore latent comorbidity of chronic diseases
Published 2022 View Full Article
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Title
Embedding-based link predictions to explore latent comorbidity of chronic diseases
Authors
Keywords
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Journal
Health Information Science and Systems
Volume 11, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-12-31
DOI
10.1007/s13755-022-00206-7
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Related references
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- (2022) Jiating Yu et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
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- (2019) István A. Kovács et al. Nature Communications
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- (2019) Ren-Meng Cao et al. CHAOS
- Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes
- (2019) Arif Khan et al. EXPERT SYSTEMS WITH APPLICATIONS
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- (2019) Chuang Liu et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review
- (2019) Md. Ekramul Hossain et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Comorbidity network for chronic disease: A novel approach to understand type 2 diabetes progression
- (2018) Arif Khan et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- A Survey of Link Prediction in Complex Networks
- (2016) Víctor Martínez et al. ACM COMPUTING SURVEYS
- Comorbidity Analysis According to Sex and Age in Hypertension Patients in China
- (2016) Jiaqi Liu et al. International Journal of Medical Sciences
- Age-series based link prediction in evolving disease networks
- (2015) Buket Kaya et al. COMPUTERS IN BIOLOGY AND MEDICINE
- The impact of multiple chronic diseases on ambulatory care use; a population based study in Ontario, Canada
- (2012) Elizabeth Muggah et al. BMC HEALTH SERVICES RESEARCH
- Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study
- (2012) Karen Barnett et al. LANCET
- Defining Comorbidity: Implications for Understanding Health and Health Services
- (2009) J. M. Valderas et al. ANNALS OF FAMILY MEDICINE
- Predicting missing links via local information
- (2009) Tao Zhou et al. EUROPEAN PHYSICAL JOURNAL B
- Community detection algorithms: A comparative analysis
- (2009) Andrea Lancichinetti et al. PHYSICAL REVIEW E
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- (2008) F. Scarselli et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
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