AIMC Journal:
Journal of biomedical informatics

Showing 251 to 260 of 650 articles

Visual comprehension and orientation into the COVID-19 CIDO ontology.

Journal of biomedical informatics Jul 2, 2021
The current intensive research on potential remedies and vaccinations for COVID-19 would greatly benefit from an ontology of standardized COVID terms. The Coronavirus Infectious Disease Ontology (CIDO) is the largest among several COVID ontologies, a...
Humans SARS-CoV-2 Biological Ontologies Comprehension COVID-19 Communicable Diseases
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Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread.

Journal of biomedical informatics Jun 24, 2021
Effective strategies to restrain COVID-19 pandemic need high attention to mitigate negatively impacted communal health and global economy, with the brim-full horizon yet to unfold. In the absence of effective antiviral and limited medical resources, ...
SARS-CoV-2 Deep Learning Pandemics COVID-19 RNA, Viral Masks Humans
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Predictive analytics for step-up therapy: Supervised or semi-supervised learning?

Journal of biomedical informatics Jun 17, 2021
BACKGROUND: Step-up therapy is a patient management approach that aims to balance the efficacy, costs and risks posed by different lines of medications. While the initiation of first line medications is a straightforward decision, stepping-up a patie...
Humans Arthritis, Rheumatoid Support Vector Machine Supervised Machine Learning
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Treatment initiation prediction by EHR mapped PPD tensor based convolutional neural networks boosting algorithm.

Journal of biomedical informatics Jun 15, 2021
Electronic health records contain patient's information that can be used for health analytics tasks such as disease detection, disease progression prediction, patient profiling, etc. Traditional machine learning or deep learning methods treat EHR ent...
Algorithms Electronic Health Records Humans Neural Networks, Computer Prescriptions Machine Learning
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Improving hospital readmission prediction using individualized utility analysis.

Journal of biomedical informatics Jun 1, 2021
OBJECTIVE: Machine learning (ML) models for allocating readmission-mitigating interventions are typically selected according to their discriminative ability, which may not necessarily translate into utility in allocation of resources. Our objective w...
Aged Patient Readmission Retrospective Studies Humans Machine Learning Female
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Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey.

Journal of biomedical informatics May 24, 2021
The identification of causal relationships between events or entities within biomedical texts is of great importance for creating scientific knowledge bases and is also a fundamental natural language processing (NLP) task. A causal (cause-effect) rel...
Artificial Intelligence Machine Learning Knowledge Bases Natural Language Processing Humans Neural Networks, Computer
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Q-CHAT-NAO: A robotic approach to autism screening in toddlers.

Journal of biomedical informatics Apr 30, 2021
The use of humanoid robots as assistants in therapy processes is not new. Several projects in the past several years have achieved promising results when combining human-robot interaction with standard techniques. Moreover, there are multiple screeni...
Mass Screening Surveys and Questionnaires Autistic Disorder Robotic Surgical Procedures Robotics Aminoacridines Child, Preschool Humans Autism Spectrum Disorder
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Explainable artificial intelligence in high-throughput drug repositioning for subgroup stratifications with interventionable potential.

Journal of biomedical informatics Apr 26, 2021
Enabling precision medicine requires developing robust patient stratification methods as well as drugs tailored to homogeneous subgroups of patients from a heterogeneous population. Developing de novo drugs is expensive and time consuming with an ult...
Precision Medicine Drug Repositioning Humans Computational Biology Knowledge Bases Artificial Intelligence
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Comparative study of machine learning methods for COVID-19 transmission forecasting.

Journal of biomedical informatics Apr 26, 2021
Within the recent pandemic, scientists and clinicians are engaged in seeking new technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning, as an essential aspect of artificial intelligence, on past epidemics offers a new...
Brazil Deep Learning India United States Saudi Arabia COVID-19 Forecasting Machine Learning Pandemics Humans Russia Neural Networks, Computer Mexico Artificial Intelligence France
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A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ.

Journal of biomedical informatics Apr 22, 2021
BACKGROUND: Iraq is among the countries affected by the COVID-19 pandemic. As of 2 August 2020, 129,151 COVID-19 cases were confirmed, including 91,949 recovered cases and 4,867 deaths. After the announcement of lockdown in early April 2020, situatio...
Iraq Pandemics Communicable Disease Control Humans COVID-19 Neural Networks, Computer Disease Outbreaks Forecasting Data Science
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