Malaria amongst children under five in sub-Saharan Africa: a sco** review of prevalence, risk factors and preventive interventions
Introduction Africa has a higher burden of malaria-related cases and deaths globally.
Children under five accounted for over two-thirds of all malaria deaths in sub-Saharan Africa …
Children under five accounted for over two-thirds of all malaria deaths in sub-Saharan Africa …
Towards digital diagnosis of malaria: How far have we reached?
S Aqeel, Z Haider, W Khan - Journal of Microbiological Methods, 2023 - Elsevier
The need for precise and early diagnosis of malaria and its distinction from other febrile
illnesses is no doubt a prerequisite, primarily when standard rapid diagnostic tests (RDTs) …
illnesses is no doubt a prerequisite, primarily when standard rapid diagnostic tests (RDTs) …
Influencing factors and multi-scenario prediction of China's ecological footprint based on the STIRPAT model
H Ma, Y Liu, Z Li, Q Wang - Ecological Informatics, 2022 - Elsevier
Focusing on the spatial and temporal pattern, evolution law, influencing factors and
prediction of regional ecological footprint (EF) is conducive to promoting sustainable …
prediction of regional ecological footprint (EF) is conducive to promoting sustainable …
EV charging load forecasting model mining algorithm based on hybrid intelligence
S Deng, J Wang, L Tao, S Zhang, H Sun - Computers and Electrical …, 2023 - Elsevier
Precise EV charging load forecasting plays a critical role in optimizing resource allocation
and facilitating economic operation and energy management of EV charging stations, as …
and facilitating economic operation and energy management of EV charging stations, as …
[HTML][HTML] Evaluation of a natural language processing approach to identify diagnostic errors and analysis of safety learning system case review data: retrospective …
Background Diagnostic errors are an underappreciated cause of preventable mortality in
hospitals and pose a risk for severe patient harm and increase hospital length of stay …
hospitals and pose a risk for severe patient harm and increase hospital length of stay …
[HTML][HTML] Map** heat vulnerability in Australian capital cities: A machine learning and multi-source data analysis
Heat vulnerability has emerged as a global concern amidst ongoing urbanisation and
climate change. While numerous studies have examined heat vulnerability, a gap remains in …
climate change. While numerous studies have examined heat vulnerability, a gap remains in …
[HTML][HTML] Geographically weighted logistic regression model for identifying risk factors for malaria infection among under-5 children in Ghana
Malaria remains a significant public health challenge globally, particularly affecting children
under-5 years of age due to their underdeveloped immune systems. Identifying the risk …
under-5 years of age due to their underdeveloped immune systems. Identifying the risk …
Classifying the risk for myasthenic crisis using data-driven explainable machine learning with informative feature design and variance control-a pilot study
Key Points Question: Can machine learning models be used to classify Myasthenia gravis
patients into groups at high or low risk for myasthenic crisis with high precision based on …
patients into groups at high or low risk for myasthenic crisis with high precision based on …
Interaction of black carbon surface mass with meteorological variables and spatial pattern across the 36 states of tropical Nigeria
AT Etchie - Remote Sensing Applications: Society and …, 2024 - Elsevier
Black carbon (BC) has been linked to cardio-pulmonary diseases and lung cancer. It is also
the second largest contributor to climate change, after carbon dioxide (CO 2), Effective …
the second largest contributor to climate change, after carbon dioxide (CO 2), Effective …
The clinical risk factors of adenovirus pneumonia in children based on the logistic regression model: correlation with lactate dehydrogenase
Y Liu, Y Shen, B Wei - International Journal of Clinical Practice, 2022 - Wiley Online Library
Background and Objective. Adenovirus pneumonia is a severe disease in children.
Constructing a prognostic model contributes to individualized treatment of children with …
Constructing a prognostic model contributes to individualized treatment of children with …