Ensemble machine learning modeling for the prediction of artemisinin resistance in malaria [version 5; peer review: 1 approved, 2 approved with reservations]
Resistance in malaria is a growing concern affecting many areas of Sub-Saharan Africa and Southeast Asia. Since the emergence of artemisinin resistance in the late 2000s in Cambodia, research into the underlying mechanisms has been underway. The 2019 Malaria Challenge posited the task of developing...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2020-06-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | https://f1000research.com/articles/9-62/v5 |