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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Infectious Diseases
Last data update: Apr 25, 2024
. (Total: 63675 Documents since 2012)
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Detection of acute dengue virus infection, with and without concurrent malaria infection, in a cohort of febrile children in Kenya, 2014-2019, by clinicians or machine learning algorithms.
David M Vu et al. PLOS Glob Public Health 2023 3(7) e0001950
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WebGIS-Based Real-Time Surveillance and Response System for Vector-Borne Infectious Diseases.
Momna Javaid et al. International journal of environmental research and public health 2023 20(4)
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Artificial intelligence-based tools applied to pathological diagnosis of microbiological diseases.
Stefano Marletta et al. Pathology, research and practice 2023 243154362
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Patient-level performance evaluation of a smartphone-based malaria diagnostic application.
Hang Yu et al. Malaria journal 2023 22(1) 33
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A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria.
Trimarsanto Hidayat et al. Communications biology 2022 5(1) 1411
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Towards digital diagnosis of malaria: How far have we reached?
Aqeel Sana et al. Journal of microbiological methods 2022 204106630
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Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings.
Beck Hans-Peter et al. Frontiers in artificial intelligence 2022 5510483
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Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review.
Maturana Carles Rubio et al. Frontiers in microbiology 2022 131006659
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Evaluating the Performance of Deep Learning Frameworks for Malaria Parasite Detection Using Microscopic Images of Peripheral Blood Smears.
Uzun Ozsahin Dilber et al. Diagnostics (Basel, Switzerland) 2022 12(11)
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Predicting infectious disease for biopreparedness and response: A systematic review of machine learning and deep learning approaches.
Keshavamurthy Ravikiran et al. One health (Amsterdam, Netherlands) 2022 15100439
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Deep Learning and Transfer Learning for Malaria Detection.
Jameela Tayyaba et al. Computational intelligence and neuroscience 2022 20222221728
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Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning.
Das Debashish et al. Malaria journal 2022 21(1) 122
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Predicting the impact of climate change on the re-emergence of malaria cases in China using LSTMSeq2Seq deep learning model: a modelling and prediction analysis study.
Kamana Eric et al. BMJ open 2022 12(3) e053922
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An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis.
Loddo Andrea et al. Journal of imaging 2022 8(3)
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Evaluation of an accelerometer-based monitor for detecting bed net use and human entry/exit using a machine learning algorithm.
Koudou Guibehi B et al. Malaria journal 2022 21(1) 85
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Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children.
McLaughlin Megan et al. Frontiers in artificial intelligence 2022 4554017
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Leveraging Automated Machine Learning for the Analysis of Global Public Health Data: A Case Study in Malaria.
Manduchi Elisabetta et al. International journal of public health 2021 66614296
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Malaria detection through digital microscopic imaging using Deep Greedy Network with transfer learning.
Dey Sumagna et al. Journal of medical imaging (Bellingham, Wash.) 2021 8(5) 054502
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Comparison of machine learning algorithms applied to symptoms to determine infectious causes of death in children: national survey of 18,000 verbal autopsies in the Million Death Study in India.
Idicula-Thomas Susan et al. BMC public health 2021 21(1) 1787
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On the Efficiency of Machine Learning Models in Malaria Prediction.
Mbaye Ousseynou et al. Studies in health technology and informatics 2021 281437-441
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The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence.
Goh Brendon et al. PLoS neglected tropical diseases 2021 15(4) e0009218
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A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy.
Holmström Oscar et al. PloS one 2020 15(11) e0242355
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Malaria Screener: a smartphone application for automated malaria screening.
Yu Hang et al. BMC infectious diseases 2020 Nov 20(1) 825
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Recent evolutions of machine learning applications in clinical laboratory medicine.
De Bruyne Sander et al. Critical reviews in clinical laboratory sciences 2020 Oct 1-22
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Analyzing Malaria Disease Using Effective Deep Learning Approach.
Sriporn Krit et al. Diagnostics (Basel, Switzerland) 2020 Sep 10(10)
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Convolutional neural networks to automate the screening of malaria in low-resource countries.
Zhao Oliver S et al. PeerJ 2020 8e9674
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Leveraging big data for public health: Mapping malaria vector suitability in Malawi with Google Earth Engine.
Frake April N et al. PloS one 2020 15(8) e0235697
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Epidemiological big data and analytical tools applied in the control programmes on parasitic diseases in China: NIPD's sustained contributions in 70 years.
Xia Shang et al. Advances in parasitology 2020 110319-347
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Artificial intelligence and the future of global health.
Schwalbe Nina et al. Lancet (London, England) 2020 395(10236) 1579-1586
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A Scoping Review of Spatial Analysis Approaches Using Health Survey Data in Sub-Saharan Africa.
Manda Samuel et al. International journal of environmental research and public health 2020 Apr 17(9)
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 25, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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