Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007–2008
Age-related macular degeneration (AMD) is the most common cause of irreversible deterioration of vision in older adults. Previous studies have found that exposure to pesticides can lead to a worsening of AMD. In this paper, information on pesticide exposure and AMD from the National Health and Nutri...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1561913/full |
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| author | Jiankang Liu Bingli Wang Qiuming Li |
| author_facet | Jiankang Liu Bingli Wang Qiuming Li |
| author_sort | Jiankang Liu |
| collection | DOAJ |
| description | Age-related macular degeneration (AMD) is the most common cause of irreversible deterioration of vision in older adults. Previous studies have found that exposure to pesticides can lead to a worsening of AMD. In this paper, information on pesticide exposure and AMD from the National Health and Nutrition Examination Survey (NHANES) database was used to divide the data into a training set and a validation set. Firstly, the correlation between the variables in the model is analyzed. The model is then built using nine machine learning algorithms and verified on a validation set. Finally, it is found that the random forest model has high predictive value, and its Receiver Operating Characteristic (ROC) value is 0.75. Finally, SHapley additive interpretation (SHAP) analysis was used to rank the importance of each variable in the random forest model, and it was found that chlorpyrifos and malathion had quite significant effects on the occurrence and development of AMD. |
| format | Article |
| id | doaj-art-451fbe4e32f443b0b8cc395fa1ece94d |
| institution | OA Journals |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-451fbe4e32f443b0b8cc395fa1ece94d2025-08-20T02:27:29ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-04-011310.3389/fpubh.2025.15619131561913Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007–2008Jiankang LiuBingli WangQiuming LiAge-related macular degeneration (AMD) is the most common cause of irreversible deterioration of vision in older adults. Previous studies have found that exposure to pesticides can lead to a worsening of AMD. In this paper, information on pesticide exposure and AMD from the National Health and Nutrition Examination Survey (NHANES) database was used to divide the data into a training set and a validation set. Firstly, the correlation between the variables in the model is analyzed. The model is then built using nine machine learning algorithms and verified on a validation set. Finally, it is found that the random forest model has high predictive value, and its Receiver Operating Characteristic (ROC) value is 0.75. Finally, SHapley additive interpretation (SHAP) analysis was used to rank the importance of each variable in the random forest model, and it was found that chlorpyrifos and malathion had quite significant effects on the occurrence and development of AMD.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1561913/fullage related macular degenerationpesticidesmachine learningNHANEScross-section study |
| spellingShingle | Jiankang Liu Bingli Wang Qiuming Li Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007–2008 Frontiers in Public Health age related macular degeneration pesticides machine learning NHANES cross-section study |
| title | Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007–2008 |
| title_full | Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007–2008 |
| title_fullStr | Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007–2008 |
| title_full_unstemmed | Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007–2008 |
| title_short | Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007–2008 |
| title_sort | machine learning model for age related macular degeneration based on pesticides the national health and nutrition examination survey 2007 2008 |
| topic | age related macular degeneration pesticides machine learning NHANES cross-section study |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1561913/full |
| work_keys_str_mv | AT jiankangliu machinelearningmodelforagerelatedmaculardegenerationbasedonpesticidesthenationalhealthandnutritionexaminationsurvey20072008 AT bingliwang machinelearningmodelforagerelatedmaculardegenerationbasedonpesticidesthenationalhealthandnutritionexaminationsurvey20072008 AT qiumingli machinelearningmodelforagerelatedmaculardegenerationbasedonpesticidesthenationalhealthandnutritionexaminationsurvey20072008 |