Prediction of asthma outpatients using cumulative particulate matter and machine learning algorithms: a case study in Adiyaman, Turkey
Abstract Following the 2023 earthquake in Adıyaman, Turkey, particulate matter (PM10) levels saw a significant rise, prompting the need to develop a model linking these levels to the number of asthma cases in the city. Using PM10 data from the Adıyaman urban region, we built machine learning models...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-12-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-024-06407-x |
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