AIMC Topic: Malaria

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Automatic identification of malaria and other red blood cell inclusions using convolutional neural networks.

Computers in biology and medicine Jul 22, 2021
Malaria is a serious disease responsible for thousands of deaths each year. Many efforts have been made to aid in the diagnosis of malaria using machine learning techniques, but to date, the presence of other elements that may interfere with the reco...
Neural Networks, Computer Malaria Erythrocytes Humans
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Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso.

Parasites & vectors Jun 29, 2021
BACKGROUND: Improving the knowledge and understanding of the environmental determinants of malaria vector abundance at fine spatiotemporal scales is essential to design locally tailored vector control intervention. This work is aimed at exploring the...
Mosquito Vectors Environment Seasons Mosquito Control Machine Learning Insect Bites and Stings Malaria Rural Population Animals Humans Burkina Faso
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Predicting malaria epidemics in Burkina Faso with machine learning.

PloS one Jun 18, 2021
Accurately forecasting the case rate of malaria would enable key decision makers to intervene months before the onset of any outbreak, potentially saving lives. Until now, methods that forecast malaria have involved complicated numerical simulations ...
Burkina Faso Epidemics Databases, Factual Female Machine Learning Infant Humans Algorithms Malaria Male
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Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears.

IEEE journal of biomedical and health informatics May 11, 2021
Computer-assisted algorithms have become a mainstay of biomedical applications to improve accuracy and reproducibility of repetitive tasks like manual segmentation and annotation. We propose a novel pipeline for red blood cell detection and counting ...
Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Humans Erythrocytes Cluster Analysis Malaria
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Leveraging Automated Machine Learning for the Analysis of Global Public Health Data: A Case Study in Malaria.

International journal of public health Apr 13, 2021
Humans Machine Learning Global Health Public Health Data Analysis Malaria
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Determining suitable machine learning classifier technique for prediction of malaria incidents attributed to climate of Odisha.

International journal of environmental health research Mar 26, 2021
This study investigated the influence of climate factors on malaria incidence in the Sundargarh district, Odisha, India. The WEKA machine learning tool was used with two classifier techniques, Multi-Layer Perceptron (MLP) and J48, with three test opt...
Malaria Seasons Neural Networks, Computer Machine Learning Climate Humans
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A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 12, 2021
Accurate and early diagnosis is critical to proper malaria treatment and hence death prevention. Several computer vision technologies have emerged in recent years as alternatives to traditional microscopy and rapid diagnostic tests. In this work, we ...
Deep Learning Malaria Microscopy Humans Neural Networks, Computer
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A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset.

Tissue & cell Dec 31, 2020
Malaria, one of the leading causes of death in underdeveloped countries, is primarily diagnosed using microscopy. Computer-aided diagnosis of malaria is a challenging task owing to the fine-grained variability in the appearance of some uninfected and...
Plasmodium Parasites Malaria Databases as Topic Algorithms Animals Deep Learning Humans
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Machine learning approaches classify clinical malaria outcomes based on haematological parameters.

BMC medicine Nov 30, 2020
BACKGROUND: Malaria is still a major global health burden, with more than 3.2 billion people in 91 countries remaining at risk of the disease. Accurately distinguishing malaria from other diseases, especially uncomplicated malaria (UM) from non-malar...
Child Treatment Outcome Male Humans Machine Learning Child, Preschool Female Malaria
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Machine learning model for predicting malaria using clinical information.

Computers in biology and medicine Nov 28, 2020
BACKGROUND: Rapid diagnosing is crucial for controlling malaria. Various studies have aimed at developing machine learning models to diagnose malaria using blood smear images; however, this approach has many limitations. This study developed a machin...
Machine Learning Humans Support Vector Machine Neural Networks, Computer Malaria
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