ROC curves of the models based on the BDHS, 2022 dataset.
<p>ROC curves of the models based on the BDHS, 2022 dataset.</p>
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2025
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| _version_ | 1852015976367783936 |
|---|---|
| author | Md. Merajul Islam (12646837) |
| author2 | Sujit Kumar (7480604) Md. A. Salam (22386223) Dulal Chandra Roy (5421059) Md. Rezaul Karim (7225511) |
| author2_role | author author author author |
| author_facet | Md. Merajul Islam (12646837) Sujit Kumar (7480604) Md. A. Salam (22386223) Dulal Chandra Roy (5421059) Md. Rezaul Karim (7225511) |
| author_role | author |
| dc.creator.none.fl_str_mv | Md. Merajul Islam (12646837) Sujit Kumar (7480604) Md. A. Salam (22386223) Dulal Chandra Roy (5421059) Md. Rezaul Karim (7225511) |
| dc.date.none.fl_str_mv | 2025-10-07T17:36:33Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0333913.g004 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/ROC_curves_of_the_models_based_on_the_BDHS_2022_dataset_/30298603 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Biotechnology Sociology Cancer Virology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified targeted prevention strategies na &# 239 machine learning algorithms key factors contributing extreme gradient boosting body mass index association mining technique artificial neural network important features associated association rules identified applying predictive modeling enhancing prediction precision cardiovascular risk prediction recent bangladesh demographic including logistic regression boruta method indicated 22 %, precision 70 %, f1 richest wealth status evaluated using accuracy 54 %, significant rules predictive performance marital status important predictors analyzed using risk individuals xlink "> training dataset thereby facilitating testing set study utilized study emphasizes study aimed saving lives random forest leading causes influencing predictors high risk health survey encompassed 2 effectively mitigate early identification death globally blood vessels air conditioner aged 65 221 respondents 2022 data |
| dc.title.none.fl_str_mv | ROC curves of the models based on the BDHS, 2022 dataset. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>ROC curves of the models based on the BDHS, 2022 dataset.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_bd3bccfa41a6e4ea44cfb089c3fbaa3f |
| identifier_str_mv | 10.1371/journal.pone.0333913.g004 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30298603 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | ROC curves of the models based on the BDHS, 2022 dataset.Md. Merajul Islam (12646837)Sujit Kumar (7480604)Md. A. Salam (22386223)Dulal Chandra Roy (5421059)Md. Rezaul Karim (7225511)MedicineBiotechnologySociologyCancerVirologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedtargeted prevention strategiesna &# 239machine learning algorithmskey factors contributingextreme gradient boostingbody mass indexassociation mining techniqueartificial neural networkimportant features associatedassociation rules identifiedapplying predictive modelingenhancing prediction precisioncardiovascular risk predictionrecent bangladesh demographicincluding logistic regressionboruta method indicated22 %, precision70 %, f1richest wealth statusevaluated using accuracy54 %,significant rulespredictive performancemarital statusimportant predictorsanalyzed usingrisk individualsxlink ">training datasetthereby facilitatingtesting setstudy utilizedstudy emphasizesstudy aimedsaving livesrandom forestleading causesinfluencing predictorshigh riskhealth surveyencompassed 2effectively mitigateearly identificationdeath globallyblood vesselsair conditioneraged 65221 respondents2022 data<p>ROC curves of the models based on the BDHS, 2022 dataset.</p>2025-10-07T17:36:33ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0333913.g004https://figshare.com/articles/figure/ROC_curves_of_the_models_based_on_the_BDHS_2022_dataset_/30298603CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/302986032025-10-07T17:36:33Z |
| spellingShingle | ROC curves of the models based on the BDHS, 2022 dataset. Md. Merajul Islam (12646837) Medicine Biotechnology Sociology Cancer Virology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified targeted prevention strategies na &# 239 machine learning algorithms key factors contributing extreme gradient boosting body mass index association mining technique artificial neural network important features associated association rules identified applying predictive modeling enhancing prediction precision cardiovascular risk prediction recent bangladesh demographic including logistic regression boruta method indicated 22 %, precision 70 %, f1 richest wealth status evaluated using accuracy 54 %, significant rules predictive performance marital status important predictors analyzed using risk individuals xlink "> training dataset thereby facilitating testing set study utilized study emphasizes study aimed saving lives random forest leading causes influencing predictors high risk health survey encompassed 2 effectively mitigate early identification death globally blood vessels air conditioner aged 65 221 respondents 2022 data |
| status_str | publishedVersion |
| title | ROC curves of the models based on the BDHS, 2022 dataset. |
| title_full | ROC curves of the models based on the BDHS, 2022 dataset. |
| title_fullStr | ROC curves of the models based on the BDHS, 2022 dataset. |
| title_full_unstemmed | ROC curves of the models based on the BDHS, 2022 dataset. |
| title_short | ROC curves of the models based on the BDHS, 2022 dataset. |
| title_sort | ROC curves of the models based on the BDHS, 2022 dataset. |
| topic | Medicine Biotechnology Sociology Cancer Virology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified targeted prevention strategies na &# 239 machine learning algorithms key factors contributing extreme gradient boosting body mass index association mining technique artificial neural network important features associated association rules identified applying predictive modeling enhancing prediction precision cardiovascular risk prediction recent bangladesh demographic including logistic regression boruta method indicated 22 %, precision 70 %, f1 richest wealth status evaluated using accuracy 54 %, significant rules predictive performance marital status important predictors analyzed using risk individuals xlink "> training dataset thereby facilitating testing set study utilized study emphasizes study aimed saving lives random forest leading causes influencing predictors high risk health survey encompassed 2 effectively mitigate early identification death globally blood vessels air conditioner aged 65 221 respondents 2022 data |