Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients-Reference-Cited by-同舟云学术

Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients

Published:2022-09-27 Issue: Volume: Page:
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Container-title:2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
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Author:

Calero-Diaz Hugo¹,Chushig-Muzo David¹,Fabelo Himar²,Mora-Jimenez Inmaculada¹,Granja Conceicao³,Soguero-Ruiz Cristina¹

Affiliation:

1. Rey Juan Carlos University,Madrid,Spain

2. Fundación Canaria Instituto de Investigación Sanitaria de Canarias, UIMA, ULPGC,Las Palmas de Gran Canaria,Spain

3. Norwegian Centre for E-health Research,Tromsø,Norway

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9926747/9926739/09926871.pdf?arnumber=9926871

Reference19 articles.

1. A Validated Prediction Model for End-Stage Kidney Disease in Type 1 Diabetes

2. A survey on feature selection methods

3. A review of feature selection methods on synthetic data

4. All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously;fisher;Journal of Machine Learning Research,2019

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