Application of interpretable machine learning in revealing spatial and temporal patterns of dengue disease using climatic factors
Dengue has been a major public health burden in the Philippines. Metropolitan Manila is one of the regions with the highest number of dengue cases in 2016 and ranked with the second-highest increase in dengue cases in 2017. Climatic factors, specifically temperature, precipitation, and relative humi...
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| Format: | text |
| Language: | English |
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Animo Repository
2022
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| Online Access: | https://animorepository.dlsu.edu.ph/etdm_bio/10 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1011&context=etdm_bio |
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| Institution: | De La Salle University |
| Language: | English |
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