AIMC Topic: Communicable Diseases

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Automated Classification of Online Sources for Infectious Disease Occurrences Using Machine-Learning-Based Natural Language Processing Approaches.

International journal of environmental research and public health Dec 17, 2020
Collecting valid information from electronic sources to detect the potential outbreak of infectious disease is time-consuming and labor-intensive. The automated identification of relevant information using machine learning is necessary to respond to ...
Humans Disease Outbreaks Natural Language Processing Epidemiological Monitoring Machine Learning Algorithms Communicable Diseases
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Network inference from population-level observation of epidemics.

Scientific reports Nov 2, 2020
Using the continuous-time susceptible-infected-susceptible (SIS) model on networks, we investigate the problem of inferring the class of the underlying network when epidemic data is only available at population-level (i.e., the number of infected ind...
Epidemics Population Computer Simulation Models, Statistical Bayes Theorem Humans Neural Networks, Computer Communicable Diseases
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Deep Learning for Automated Liver Segmentation to Aid in the Study of Infectious Diseases in Nonhuman Primates.

Academic radiology Sep 14, 2020
With the advent of deep learning, convolutional neural networks (CNNs) have evolved as an effective method for the automated segmentation of different tissues in medical image analysis. In certain infectious diseases, the liver is one of the more hig...
Communicable Diseases Image Processing, Computer-Assisted Animals Liver Deep Learning Primates
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Digitalization, clinical microbiology and infectious diseases.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Jul 2, 2020
Algorithms Communicable Diseases Image Processing, Computer-Assisted Humans Machine Learning Digital Technology Microbiology
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Image analysis and artificial intelligence in infectious disease diagnostics.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Mar 22, 2020
BACKGROUND: Microbiologists are valued for their time-honed skills in image analysis, including identification of pathogens and inflammatory context in Gram stains, ova and parasite preparations, blood smears and histopathologic slides. They also mus...
Algorithms Automation, Laboratory Communicable Diseases Artificial Intelligence Machine Learning Image Processing, Computer-Assisted Humans
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Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk.

Scientific reports Jan 24, 2020
To compare different deep learning architectures for predicting the risk of readmission within 30 days of discharge from the intensive care unit (ICU). The interpretability of attention-based models is leveraged to describe patients-at-risk. Several ...
Intensive Care Units Sensitivity and Specificity Disease Progression Deep Learning Chronic Disease Bayes Theorem Algorithms Forecasting Medical Records Systems, Computerized Communicable Diseases Patient Readmission Humans Risk Neural Networks, Computer Odds Ratio
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Multi-Modal Diagnosis of Infectious Diseases in the Developing World.

IEEE journal of biomedical and health informatics Jan 9, 2020
In low and middle income countries, infectious diseases continue to have a significant impact, particularly amongst the poorest in society. Tetanus and hand foot and mouth disease (HFMD) are two such diseases and, in both, death is associated with au...
Models, Statistical Developing Countries Tetanus Vital Signs Hand, Foot and Mouth Disease Photoplethysmography Electrocardiography Monitoring, Physiologic Wearable Electronic Devices Child, Preschool Algorithms Communicable Diseases Adult Infant Diagnosis, Computer-Assisted Deep Learning Humans
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Identification of infectious disease-associated host genes using machine learning techniques.

BMC bioinformatics Dec 27, 2019
BACKGROUND: With the global spread of multidrug resistance in pathogenic microbes, infectious diseases emerge as a key public health concern of the recent time. Identification of host genes associated with infectious diseases will improve our underst...
Humans Protein Interaction Maps Amino Acids Neural Networks, Computer Gene Ontology Machine Learning Communicable Diseases
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A novel model for malaria prediction based on ensemble algorithms.

PloS one Dec 26, 2019
BACKGROUND AND OBJECTIVE: Most previous studies adopted single traditional time series models to predict incidences of malaria. A single model cannot effectively capture all the properties of the data structure. However, a stacking architecture can s...
Incidence Malaria Communicable Diseases Humans Deep Learning Algorithms China
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Location of sources in reaction-diffusion equations using support vector machines.

PloS one Dec 5, 2019
The reaction-diffusion equation serves to model systems in the diffusion regime with sources. Specific applications include diffusion processes in chemical reactions, as well as the propagation of species, diseases, and populations in general. In som...
Population Disease Vectors Models, Biological Diffusion Animals Communicable Diseases Disease Outbreaks Support Vector Machine
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