AIMC Journal:
Journal of biomedical informatics

Showing 291 to 300 of 650 articles

The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies.

Journal of biomedical informatics Dec 10, 2020
Artificial intelligence (AI) has huge potential to improve the health and well-being of people, but adoption in clinical practice is still limited. Lack of transparency is identified as one of the main barriers to implementation, as clinicians should...
Humans Artificial Intelligence Delivery of Health Care
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Smart conversational agents for the detection of neuropsychiatric disorders: A systematic review.

Journal of biomedical informatics Dec 2, 2020
OBJECTIVE: To determine whether smart conversational agents can be used for detection of neuropsychiatric disorders. Therefore, we reviewed the technologies used, targeted mental disorders and validation procedures of relevant proposals in this field...
Humans Artificial Intelligence Software Mental Disorders Reproducibility of Results Communication
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Residual LSTM layered CNN for classification of gastrointestinal tract diseases.

Journal of biomedical informatics Dec 1, 2020
nowadays, considering the number of patients per specialist doctor, the size of the need for automatic medical image analysis methods can be understood. These systems, which are very advantageous compared to manual systems both in terms of cost and t...
Humans Neural Networks, Computer Artificial Intelligence Gastrointestinal Tract
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A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues.

Journal of biomedical informatics Nov 28, 2020
In the last few years, the application of Machine Learning approaches like Deep Neural Network (DNN) models have become more attractive in the healthcare system given the rising complexity of the healthcare data. Machine Learning (ML) algorithms prov...
Humans Neural Networks, Computer Machine Learning Algorithms Delivery of Health Care Deep Learning
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Pre-training phenotyping classifiers.

Journal of biomedical informatics Nov 28, 2020
Recent transformer-based pre-trained language models have become a de facto standard for many text classification tasks. Nevertheless, their utility in the clinical domain, where classification is often performed at encounter or patient level, is sti...
Humans Language ROC Curve Natural Language Processing
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From electronic health records to terminology base: A novel knowledge base enrichment approach.

Journal of biomedical informatics Nov 21, 2020
Enriching terminology base (TB) is an important and continuous process, since formal term can be renamed and new term alias emerges all the time. As a potential supplementary for TB enrichment, electronic health record (EHR) is a fundamental source f...
Electronic Health Records China Natural Language Processing Knowledge Bases Semantics
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An empirical characterization of fair machine learning for clinical risk prediction.

Journal of biomedical informatics Nov 18, 2020
The use of machine learning to guide clinical decision making has the potential to worsen existing health disparities. Several recent works frame the problem as that of algorithmic fairness, a framework that has attracted considerable attention and c...
Machine Learning Delivery of Health Care Empirical Research
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Learning Bayesian networks from demographic and health survey data.

Journal of biomedical informatics Nov 17, 2020
Child mortality from preventable diseases such as pneumonia and diarrhoea in low and middle-income countries remains a serious global challenge. We combine knowledge with available Demographic and Health Survey (DHS) data from India, to construct Cau...
Humans Algorithms Child Sample Size Bayes Theorem Knowledge Bases Demography
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Deep learning with wearable based heart rate variability for prediction of mental and general health.

Journal of biomedical informatics Oct 31, 2020
The ubiquity and commoditisation of wearable biosensors (fitness bands) has led to a deluge of personal healthcare data, but with limited analytics typically fed back to the user. The feasibility of feeding back more complex, seemingly unrelated meas...
Humans Neural Networks, Computer Deep Learning Wearable Electronic Devices Wrist Heart Rate
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Character level and word level embedding with bidirectional LSTM - Dynamic recurrent neural network for biomedical named entity recognition from literature.

Journal of biomedical informatics Oct 26, 2020
Named Entity Recognition is the process of identifying different entities in a given context. Biomedical Named Entity Recognition (BNER) is the task of extracting chemical names from biomedical texts to support biomedical and translational research. ...
Neural Networks, Computer Research Design Publications Translational Research, Biomedical
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