XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction
XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Smoking-induced noncommunicable diseases (SiNCDs) have become a significant threat to public health and cause of death globally. In the last decade, numerous studies have been proposed using artificial intelligence techniques to predict the risk of developing SiNCDs. However, determining the most significant features and developing interpretable mo...
Alternative Titles
Full title
XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7558165
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7558165
Other Identifiers
ISSN
1660-4601,1661-7827
E-ISSN
1660-4601
DOI
10.3390/ijerph17186513
