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Public Health Genomics and Precision Health Knowledge Base (v9.0)
PHGKB
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Public Health Genomics Branch
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: May 07, 2024
. (Total: 63788 Documents since 2012)
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Records 1 - 21 (of 21 Records)
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DDPM: A Dengue Disease Prediction and Diagnosis Model Using Sentiment Analysis and Machine Learning Algorithms.
Gaurav Gupta et al. Diagnostics (Basel, Switzerland) 2023 13(6)
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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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An IoT-based smart mosquito trap system embedded with real-time mosquito image processing by neural networks for mosquito surveillance.
Wei-Liang Liu et al. Frontiers in bioengineering and biotechnology 2023 111100968
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Artificial intelligence (AI): a new window to revamp the vector-borne disease control.
Nayak Basudev et al. Parasitology research 2022
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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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Development and application of survey-based artificial intelligence for clinical decision support in managing infectious diseases: A pilot study on a hospital in central Vietnam.
Kim Kwanghyun et al. Frontiers in public health 2022 101023098
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Spatio-temporal dynamics of three diseases caused by Aedes-borne arboviruses in Mexico
B Dong et al, Comm Med, October 28, 2022
Community-based mosquito surveillance: an automatic mosquito-on-human-skin recognition system with a deep learning algorithm.
Ong Song-Quan et al. Pest management science 2022
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Implementation of a deep learning model for automated classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) in real time.
Ong Song-Quan et al. Scientific reports 2021 11(1) 9908
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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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Added-value of mosquito vector breeding sites from street view images in the risk mapping of dengue incidence in Thailand.
Su Yin Myat et al. PLoS neglected tropical diseases 2021 15(3) e0009122
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Detecting Aedes aegypti mosquitoes through audio classification with convolutional neural networks.
Fernandes Marcelo Schreiber et al. Computers in biology and medicine 2020 Nov 129104152
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Supporting elimination of lymphatic filariasis in Samoa by predicting locations of residual infection using machine learning and geostatistics.
Mayfield Helen J et al. Scientific reports 2020 Nov 10(1) 20570
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Comparing machine learning with case-control models to identify confirmed dengue cases.
Ho Tzong-Shiann et al. PLoS neglected tropical diseases 2020 Nov 14(11) e0008843
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Predicting dengue outbreaks at neighbourhood level using human mobility in urban areas.
Bomfim Rafael et al. Journal of the Royal Society, Interface 2020 Oct 17(171) 20200691
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Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia.
Zhao Naizhuo et al. PLoS neglected tropical diseases 2020 Sep 14(9) e0008056
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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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The Potential of West Nile Virus Transmission Regarding the Environmental Factors Using Geographic Information System (GIS), West Azerbaijan Province, Iran.
Amini Mojtaba et al. Journal of arthropod-borne diseases 2019 Mar 13(1) 27-38
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Identification and analysis of vulnerable populations for malaria based on K-prototypes clustering.
Li Chenlu et al. Environmental research 2019 Jul 176108568
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Using Earth observation images to inform risk assessment and mapping of climate change-related infectious diseases.
Kotchi S O et al. Canada communicable disease report = Releve des maladies transmissibles au Canada 2019 May 45(5) 133-142
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 07, 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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