Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region

被引：0

作者：

Kamran Mehrabani-Zeinabad

Awat Feizi

Masoumeh Sadeghi

Hamidreza Roohafza

Mohammad Talaei

Nizal Sarrafzadegan

机构：

[1] Cardiovascular Research Center,Biostatistics and Epidemiology Department, School of Health

[2] Cardiovascular Research Institute,Cardiac Rehabilitation Research Center

[3] Isfahan University of Medical Sciences,School of Population and Public Health, Faculty of Medicine

[4] Isfahan University of Medical Sciences,undefined

[5] Cardiovascular Research Institute,undefined

[6] Isfahan University of Medical Sciences,undefined

[7] Wolfson Institute of Population Health,undefined

[8] Barts and The London School of Medicine and Dentistry,undefined

[9] Queen Mary University of London,undefined

[10] University of British Columbia,undefined

来源：

BMC Medical Informatics and Decision Making | / 23卷

关键词：

Cardiovascular; Machine learning; Statistical models; Cohort study; Eastern Mediterranean region; Feature selection; Missing values;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 50 条

[31] Diabetes mellitus and chronic kidney disease in the Eastern Mediterranean Region: findings from the Global Burden of Disease 2015 study
Mokdad, Ali H.
Moradi-Lakeh, Maziar
El Bcheraoui, Charbel
Khalil, Ibrahim
Charara, Raghid
Afshin, Ashkan
Wang, Haidong
Collison, Michael
Krohn, Kristopher J.
Chew, Adrienne
Daoud, Farah
Blosser, Christopher D.
Cornaby, Leslie
Foreman, Kyle J.
Kassebaum, Nicholas J.
Kemmer, Laura
Kutz, Michael
Liu, Patrick
Zipkin, Ben
Arnlov, Johan
Abate, Kalkidan Hassen
Ahmadi, Alireza
Ahmadieh, Hamid
Ahmed, Muktar Beshir
Al-Aly, Ziyad
Alam, Khurshid
Alasfoor, Deena
Ali, Raghib
Alizadeh-Navaei, Reza
Alkaabi, Juma M.
Alkerwi, Ala'a
Al-Raddadi, Rajaa
Altirkawi, Khalid A.
Alvis-Guzman, Nelson
Amini, Erfan
Anber, Nahla
Anwari, Palwasha
Asgedom, Solomon Weldegebreal
Atey, Tesfay Mehari
Avila-Burgos, Leticia
Awasthi, Ashish
Azzopardi, Peter
Baernighausen, Till
Bacha, Umar
Barac, Aleksandra
Bazargan-Hejazi, Shahrzad
Drew, Charles R.
Geffen, David
Bedi, Neeraj
Berhe, Derbew Fikadu
INTERNATIONAL JOURNAL OF PUBLIC HEALTH, 2018, 63 : 177 - 186
[32] Machine learning approach for predicting cardiovascular disease in Bangladesh: evidence from a cross-sectional study in 2023
Hossain, Sorif
Hasan, Mohammad Kamrul
Faruk, Mohammad Omar
Aktar, Nelufa
Hossain, Riyadh
Hossain, Kabir
BMC CARDIOVASCULAR DISORDERS, 2024, 24 (01)
[33] Maternal mortality and morbidity burden in the Eastern Mediterranean Region: findings from the Global Burden of Disease 2015 study
Mokdad, Ali H.
Khalil, Ibrahim
Collison, Michael
El Bcheraoui, Charbel
Charara, Raghid
Moradi-Lakeh, Maziar
Afshin, Ashkan
Chew, Adrienne
Daoud, Farah
Krohn, Kristopher J.
Colombara, Danny
Ehrenkranz, Rebecca
Kutz, Michael
Wang, Haidong
Abajobir, Amanuel Alemu
Abd-Allah, Foad
Abraha, Haftom Niguse
Abu-Raddad, Laith J.
Kiadaliri, Aliasghar Ahmad
Ahmadi, Alireza
Ahmed, Kedir Yimam
Ahmed, Muktar Beshir
Al Lami, Faris Hasan
Alam, Khurshid
Alasfoor, Deena
Alizadeh-Navaei, Reza
Alkaabi, Juma M.
Al-Maskari, Fatma
Al-Raddadi, Rajaa
Altirkawi, Khalid A.
Anber, Nahla
Ansari, Hossein
Asayesh, Hamid
Asghar, Rana Jawad
Atey, Tesfay Mehari
Ayele, Tadesse Awoke
Baernighausen, Till
Bacha, Umar
Barac, Aleksandra
Barker-Collo, Suzanne L.
Baune, Bernhard T.
Bazargan-Hejazi, Shahrzad
Geffen, David
Bedi, Neeraj
Bensenor, Isabela M.
Berhane, Adugnaw
Beyene, Addisu Shunu
Bhutta, Zulfiqar A.
Boneya, Dube Jara
Borschmann, Rohan
INTERNATIONAL JOURNAL OF PUBLIC HEALTH, 2018, 63 : 47 - 61
[34] A Machine Learning Model for the Accurate Prediction of 1-Year Survival in TAVI Patients: A Retrospective Observational Cohort Study
Pollari, Francesco
Hitzl, Wolfgang
Rottmann, Magnus
Vogt, Ferdinand
Ledwon, Miroslaw
Langhammer, Christian
Eckner, Dennis
Jessl, Juergen
Bertsch, Thomas
Pauschinger, Matthias
Fischlein, Theodor
Dzemali, Omer
JOURNAL OF CLINICAL MEDICINE, 2023, 12 (17)
[35] Machine Learning-Based Prediction for 4-Year Risk of Metabolic Syndrome in Adults: A Retrospective Cohort Study
Zhang, Hui
Chen, Dandan
Shao, Jing
Zou, Ping
Cui, Nianqi
Tang, Leiwen
Wang, Xiyi
Wang, Dan
Wu, Jingjie
Ye, Zhihong
RISK MANAGEMENT AND HEALTHCARE POLICY, 2021, 14 : 4361 - 4368
[36] Prediction of metabolic syndrome using machine learning approaches based on genetic and nutritional factors: a 14-year prospective-based cohort study
Shin, Dayeon
BMC MEDICAL GENOMICS, 2024, 17 (01)
[37] Machine learning identifies prominent factors associated with cardiovascular disease: findings from two million adults in the Kashgar Prospective Cohort Study (KPCS)
Li, Jia-Xin
Li, Li
Zhong, Xuemei
Fan, Shu-Jun
Cen, Tao
Wang, Jianquan
He, Chuanjiang
Zhang, Zhoubin
Luo, Ya-Na
Liu, Xiao-Xuan
Hu, Li-Xin
Zhang, Yi-Dan
Qiu, Hui-Ling
Dong, Guang-Hui
Zou, Xiao-Guang
Yang, Bo-Yi
GLOBAL HEALTH RESEARCH AND POLICY, 2022, 7 (01)
[38] Comparative Analysis of Machine Learning Techniques for Water Consumption Prediction: A Case Study from Kocaeli Province
Gorenekli, Kasim
Gulbag, Ali
SENSORS, 2024, 24 (17)
[39] Machine learning identifies prominent factors associated with cardiovascular disease: findings from two million adults in the Kashgar Prospective Cohort Study (KPCS)
Jia-Xin Li
Li Li
Xuemei Zhong
Shu-Jun Fan
Tao Cen
Jianquan Wang
Chuanjiang He
Zhoubin Zhang
Ya-Na Luo
Xiao-Xuan Liu
Li-Xin Hu
Yi-Dan Zhang
Hui-Ling Qiu
Guang-Hui Dong
Xiao-Guang Zou
Bo-Yi Yang
Global Health Research and Policy, 7
[40] Using Machine Learning Techniques to Develop Risk Prediction Models for the Risk of Incident Diabetic Retinopathy Among Patients With Type 2 Diabetes Mellitus: A Cohort Study
Zhao, Yuedong
Li, Xinyu
Li, Shen
Dong, Mengxing
Yu, Han
Zhang, Mengxian
Chen, Weidao
Li, Peihua
Yu, Qing
Liu, Xuhan
Gao, Zhengnan
FRONTIERS IN ENDOCRINOLOGY, 2022, 13

← 1 2 3 4 5 →