AIMC Topic: Communicable Diseases

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Deep Learning for Imaging and Detection of Microorganisms.

Trends in microbiology Jan 30, 2021
Despite tremendous recent interest, the application of deep learning in microbiology has still not reached its full potential. To tackle the challenges faced by human-operated microscopy, deep-learning-based methods have been proposed for microscopic...
Communicable Diseases Deep Learning Image Processing, Computer-Assisted Humans Microscopy
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Source identification of infectious diseases in networks via label ranking.

PloS one Jan 14, 2021
BACKGROUND: Outbreaks of infectious diseases would cause great losses to the human society. Source identification in networks has drawn considerable interest in order to understand and control the infectious disease propagation processes. Unsatisfact...
Communicable Diseases Supervised Machine Learning Community Networks Humans Algorithms
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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 ...
Epidemiological Monitoring Machine Learning Algorithms Humans Communicable Diseases Disease Outbreaks Natural Language Processing
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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...
Neural Networks, Computer Communicable Diseases Computer Simulation Humans Epidemics Population Models, Statistical Bayes Theorem
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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...
Animals Deep Learning Image Processing, Computer-Assisted Communicable Diseases Liver 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
Microbiology Machine Learning Algorithms Communicable Diseases Image Processing, Computer-Assisted Digital Technology Humans
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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...
Communicable Diseases Image Processing, Computer-Assisted Algorithms Automation, Laboratory Humans Artificial Intelligence Machine Learning
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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 ...
Risk Humans Neural Networks, Computer Algorithms Forecasting Patient Readmission Communicable Diseases Odds Ratio Medical Records Systems, Computerized Deep Learning Chronic Disease Bayes Theorem Intensive Care Units Sensitivity and Specificity Disease Progression
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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...
Infant Diagnosis, Computer-Assisted Tetanus Deep Learning Monitoring, Physiologic Algorithms Vital Signs Wearable Electronic Devices Models, Statistical Communicable Diseases Hand, Foot and Mouth Disease Child, Preschool Humans Adult Developing Countries Photoplethysmography Electrocardiography
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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...
Amino Acids Machine Learning Humans Gene Ontology Communicable Diseases Neural Networks, Computer Protein Interaction Maps
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