Risk assessment of cardiovascular disease based on SOLSSA-CatBoost model

Xi Wei; Congjun Rao; Xinping Xiao; Lin Chen; Mark Goh

doi:10.1016/j.eswa.2023.119648

journal article Jun 01, 2023

Risk assessment of cardiovascular disease based on SOLSSA-CatBoost model

Xi Wei

Congjun Rao

Xinping Xiao Lin Chen

Mark Goh

Expert Systems with Applications Vol. 219 pp. 119648 · Elsevier BV

View at Publisher Save 10.1016/j.eswa.2023.119648

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References

56

[1]

Al-Absi "Risk factors and comorbidities associated to cardiovascular disease in Qatar: A machine learning based case-control study" IEEE Access (2021) 10.1109/access.2021.3059469

[2]

Ali "A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion" Information Fusion (2020) 10.1016/j.inffus.2020.06.008

[3]

Alsahaf "A framework for feature selection through Boosting" Expert Systems with Applications (2022) 10.1016/j.eswa.2021.115895

[4]

Ambale-Venkatesh "Cardiovascular event prediction by machine learning the multi-ethnic study of atherosclerosis" Circulation Research (2017) 10.1161/circresaha.117.311312

[5]

Bentejac "A comparative analysis of gradient boosting algorithms" Artificial Intelligence Review (2021) 10.1007/s10462-020-09896-5

[6]

Cao "Financial forecasting using support vector machines" Neural Computing & Applications (2001) 10.1007/s005210170010

[7]

Chen "A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems" Expert Systems with Applications (2020) 10.1016/j.eswa.2020.113612

[8]

Cikes "Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy" European Journal of Heart Failure (2019) 10.1002/ejhf.1333

[9]

Dhiman "Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems" Knowledge-Based Systems (2019) 10.1016/j.knosys.2018.11.024

[10]

Elattar "Probabilistic energy management with emission of renewable micro-grids including storage devices based on efficient salp swarm algorithm" Renewable Energy (2020) 10.1016/j.renene.2020.01.144

[11]

Finlay "Multiple classifier architectures and their application to credit risk assessment" European Journal of Operational Research (2011) 10.1016/j.ejor.2010.09.029

[12]

Fu "Improved sparrow search algorithm with multi-strategy integration and its application" Control and Decision (2022)

[13]

Gao "COVID-19 lockdowns and air quality: Evidence from grey spatiotemporal forecasts" Socio-Economic Planning Sciences (2022) 10.1016/j.seps.2022.101228

[14]

2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk

David C. Goff, Donald M. Lloyd-Jones, Glen Bennett et al.

Journal of the American College of Cardiology 2014 10.1016/j.jacc.2013.11.005

[15]

Gupta "Enhanced leadership-inspired grey wolf optimizer for global optimization problems" Engineering with Computers (2020) 10.1007/s00366-019-00795-0

[16]

He "Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning" Energy (2022) 10.1016/j.energy.2021.122108

[17]

Hossain "Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes" Expert Systems with Applications (2021) 10.1016/j.eswa.2020.113918

[18]

Jiang "Machine learning-based models to support decision-making in emergency department triage for patients with suspected cardiovascular disease" International Journal of Medical Informatics (2021) 10.1016/j.ijmedinf.2020.104326

[19]

Jiang "Automatic calibration a hydrological model using a master-slave swarms shuffling evolution algorithm based on self-adaptive particle swarm optimization" Expert Systems with Applications (2013) 10.1016/j.eswa.2012.08.006

[20]

Lee "Prediction of life-threatening intracranial hypertension during the acute phase of traumatic brain injury using machine learning" IEEE Journal of Biomedical and Health Informatics (2021) 10.1109/jbhi.2021.3085881

[21]

Li "Using multi-objective sparrow search algorithm to establish active distribution network dynamic reconfiguration integrated optimization" Expert Systems with Applications (2022) 10.1016/j.eswa.2021.116445

[22]

Li "Prediction of hospital mortality in mechanically ventilated patients with congestive heart failure using machine learning approaches" International Journal of Cardiology (2022) 10.1016/j.ijcard.2022.04.063

[23]

Liu "A modified sparrow search algorithm with application in 3d route planning for UAV" Sensors (2021) 10.3390/s21041224

[24]

Liu "Single-molecule force spectroscopy study of the effect of cigarette carcinogens on thrombomodulin-thrombin interaction" Science Bulletin (2016) 10.1007/s11434-016-1084-0

[25]

Liu "Prediction of stock market index based on ISSA-BP neural network" Expert Systems with Applications (2022) 10.1016/j.eswa.2022.117604

[26]

Ma "Diagnostic classification of cancers using extreme gradient boosting algorithm and multi-omics data" Computers in Biology and Medicine (2020) 10.1016/j.compbiomed.2020.103761

[27]

Ma "A new incomplete pattern belief classification method with multiple estimations based on KNN" Applied Soft Computing (2020) 10.1016/j.asoc.2020.106175

[28]

Mirjalili "Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm" Knowledge-Based Systems (2015) 10.1016/j.knosys.2015.07.006

[29]

Mirjalili "The whale optimization algorithm" Advances in Engineering Software (2016) 10.1016/j.advengsoft.2016.01.008

[30]

Paynter "Comparison of lifestyle-based and traditional cardiovascular disease prediction in a multiethnic cohort of nonsmoking women" Circulation (2014) 10.1161/circulationaha.114.012069

[31]

Qian "A cardiovascular disease prediction model based on routine physical examination indicators using machine learning methods: A cohort study" Frontiers in Cardiovascular Medicine (2022) 10.3389/fcvm.2022.854287

[32]

Rao "Multi-attribute group decision making method with dual comprehensive clouds under information environment of dual uncertain Z-numbers" Information Sciences (2022) 10.1016/j.ins.2022.04.031

[33]

Rao "2-stage modified random forest model for credit risk assessment of P2P network lending to “Three Rurals” borrowers" Applied Soft Computing (2020) 10.1016/j.asoc.2020.106570

[34]

Rao "Credit risk assessment mechanism of personal auto loan based on PSO-XGBoost Model" Complex & Intelligent Systems (2022)

[35]

Rao "Grey uncertain linguistic multi-attribute group decision making method based on GCC-HCD" IEEE Transactions on Computational Social Systems (2022)

[36]

Rao "Energy demand forecasting in China: A support vector regression-compositional data second exponential smoothing model" Energy (2023) 10.1016/j.energy.2022.125955

[37]

Rosenson "Refining lipoprotein(a) associated cardiovascular risk in women" Journal of the American College of Cardiology (2018) 10.1016/j.jacc.2018.05.011

[38]

Saba "From risk factors to clinical disease: New opportunities and challenges for cardiovascular risk prediction" Journal of the American College of Cardiology (2021) 10.1016/j.jacc.2021.01.040

[39]

Saeed "Short-term global cardiovascular disease risk prediction in older adults" Journal of the American College of Cardiology (2018) 10.1016/j.jacc.2018.02.050

[40]

Saini "QRS detection using k-kearest neighbor algorithm (KNN) and evaluation on standard ECG databases" Journal of Advanced Research (2013) 10.1016/j.jare.2012.05.007

[41]

Segar "Development and validation of machine learning-based race-specific models to predict 10-year risk of heart failure a multicohort analysis" Circulation (2021) 10.1161/circulationaha.120.053134

[42]

Sm "Grey wolf optimizer" Advances in Engineering Software (2014)

[43]

Tay "The effect of sample age and prediction resolution on myocardial infarction risk prediction" IEEE Journal of Biomedical and Health Informatics (2015) 10.1109/jbhi.2014.2330898

[44]

Tharwat "A conceptual and practical comparison of PSO-style optimization algorithms" Expert Systems with Applications (2021) 10.1016/j.eswa.2020.114430

[45]

Tian "Several hot issues in the research of statistical reconstruction in the era of big data" Statistical Research (2015)

[46]

Tian "A novel decomposition-ensemble prediction model for ultra-short-term wind speed" Energy Conversion and Management (2021) 10.1016/j.enconman.2021.114775

[47]

Tokodi "Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: The SEMMELWEIS-CRT score" European Heart Journal (2020) 10.1093/eurheartj/ehz902

[48]

Wang "Risk assessment of coronary heart disease based on cloud-random forest" Artificial Intelligence Review (2023) 10.1007/s10462-022-10170-z

[49]

Wang "A new two-layer nearest neighbor selection method for KNN classifier" Knowledge-Based Systems (2022) 10.1016/j.knosys.2021.107604

[50]

Xue "A novel swarm intelligence optimization approach: Sparrow search algorithm" Systems Science & Control Engineering an Open Access Journal (2020) 10.1080/21642583.2019.1708830

Showing 50 of 56 references

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Details

Published: Jun 01, 2023
Vol/Issue: 219
Pages: 119648
License: View

Authors

Celera Genomics, 45 West Gude Drive, Rockville, MD 20850, USA.

M

Mark Goh

Funding

National Natural Science Foundation of China Award: 71871174

Cite This Article

Xi Wei, Congjun Rao, Xinping Xiao, et al. (2023). Risk assessment of cardiovascular disease based on SOLSSA-CatBoost model. Expert Systems with Applications, 219, 119648. https://doi.org/10.1016/j.eswa.2023.119648

Risk assessment of cardiovascular disease based on SOLSSA-CatBoost model

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