Building a predictive model for hypertension related to environmental chemicals using machine learning-Reference-Cited by-同舟云学术

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Building a predictive model for hypertension related to environmental chemicals using machine learning

Published:2023-12-17 Issue:3 Volume:31 Page:4595-4605
ISSN:1614-7499
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Liu Shanshan,Lu Lin,Wang Fei,Han Bingqing,Ou Lei,Gao Xiangyang,Luo Yi,Huo Wenjing,Zeng Qiang

Funder

Science and Technology Department, Heilongjiang Province

Military Healthcare Program

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-023-31384-w.pdf

Reference37 articles.

1. Aramjoo H, Arab-Zozani M, Feyzi A, Naghizadeh A, Aschner M, Naimabadi A, Farkhondeh T, Samarghandian S (2022) The association between environmental cadmium exposure, blood pressure, and hypertension: a systematic review and meta-analysis. Environ Sci Pollut Res Int 29:35682–35706

2. Bae S, Samuels JA, Flynn JT, Mitsnefes MM, Furth SL, Warady BA, Ng DK (2022) Machine learning-based prediction of masked hypertension among children with chronic kidney disease. Hypertension 79:2105–2113

3. Carnethon MR, Evans NS, Church TS, Lewis CE, Schreiner PJ, Jacobs DR Jr, Sternfeld B, Sidney S (2010) Joint associations of physical activity and aerobic fitness on the development of incident hypertension: coronary artery risk development in young adults. Hypertension 56:49–55

4. Chen T, Guestrin C (2016) XGBoost: A scalable tree boosting system. Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining 2016:785–794

5. Chowdhury MZI, Leung AA, Sikdar KC, O’Beirne M, Quan H, Turin TC (2022) Development and validation of a hypertension risk prediction model and construction of a risk score in a Canadian population. Sci Rep 12:12780

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