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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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0111 · Jun 201919922001200920182026
1 result for “Ibadan”
Data-Driven Malaria Prevalence Prediction in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: Harnessing Machine Learning Approaches and 22-years of Prospectively Collected Datacs.LG

LEMPS predicts malaria prevalence with high accuracy in Ibadan, West Africa.

problem Inadequate malaria prediction systems in highly endemic countries.
method Developed and validated a Locality-specific Elastic-Net based Malaria Prediction System (LEMPS) using 22-years of prospective data.
result LEMPS achieves good generalization performance, predicting monthly prevalence with MAE<=6x10-2 and MSE<=7x10-3.
MalariaMachine LearningIbadanWest AfricaPrevalence Prediction
2019-06-18abs ↗pdf ↗