AIMC Journal:
Journal of biomedical informatics

Showing 281 to 290 of 650 articles

Propagation source identification of infectious diseases with graph convolutional networks.

Journal of biomedical informatics Feb 25, 2021
Source identification in networks has drawn considerable interest to understand and control the infectious disease propagation processes. It is usually difficult to achieve both high accuracy and short error distance when we try to solve the problem....
Humans Neural Networks, Computer Algorithms Communicable Diseases
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Systematic review of approaches to use of neighborhood-level risk factors with clinical data to predict clinical risk and recommend interventions.

Journal of biomedical informatics Feb 18, 2021
BACKGROUND: Despite a large body of literature investigating how the environment influences health outcomes, most published work to date includes only a limited subset of the rich clinical and environmental data that is available and does not address...
Humans Machine Learning Electronic Health Records Risk Factors
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Automated classification of cancer morphology from Italian pathology reports using Natural Language Processing techniques: A rule-based approach.

Journal of biomedical informatics Feb 18, 2021
Pathology reports represent a primary source of information for cancer registries. Hospitals routinely process high volumes of free-text reports, a valuable source of information regarding cancer diagnosis for improving clinical care and supporting r...
Humans Language Neoplasms Natural Language Processing Italy Information Storage and Retrieval
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GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification.

Journal of biomedical informatics Feb 15, 2021
Exponential growth of biomedical literature and clinical data demands more robust yet precise computational methodologies to extract useful insights from biomedical literature and to perform accurate assignment of disease-specific codes. Such approac...
Neural Networks, Computer Deep Learning Computational Biology International Classification of Diseases
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Information retrieval on oncology knowledge base using recursive paraphrase lattice.

Journal of biomedical informatics Feb 11, 2021
For annotation in cancer genomic medicine, oncologists have to refer to various knowledge bases worldwide and retrieve all information (e.g., drugs, clinical trials, and academic papers) related to a gene variant. However, oncologists find it difficu...
Language Knowledge Bases Medical Oncology Information Storage and Retrieval
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Publishing artificial intelligence research papers: A tale of three journals.

Journal of biomedical informatics Feb 5, 2021
Artificial Intelligence Bibliometrics Publishing Periodicals as Topic
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Exploration of text matching methods in Chinese disease Q&A systems: A method using ensemble based on BERT and boosted tree models.

Journal of biomedical informatics Jan 20, 2021
BACKGROUND: Text matching is one of the basic tasks in the field of natural language processing. Owing to the particularity of Chinese language and medical texts, text matching has greater application and research value in the medical field. In 2019,...
Language China Natural Language Processing
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Interpreting a recurrent neural network's predictions of ICU mortality risk.

Journal of biomedical informatics Jan 7, 2021
Deep learning has demonstrated success in many applications; however, their use in healthcare has been limited due to the lack of transparency into how they generate predictions. Algorithms such as Recurrent Neural Networks (RNNs) when applied to Ele...
Humans Neural Networks, Computer Algorithms Intensive Care Units Electronic Health Records Child
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Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review.

Journal of biomedical informatics Dec 31, 2020
OBJECTIVES: Patient representation learning refers to learning a dense mathematical representation of a patient that encodes meaningful information from Electronic Health Records (EHRs). This is generally performed using advanced deep learning method...
Humans Neural Networks, Computer Prognosis Electronic Health Records Reproducibility of Results Deep Learning
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Domain specific word embeddings for natural language processing in radiology.

Journal of biomedical informatics Dec 15, 2020
BACKGROUND: There has been increasing interest in machine learning based natural language processing (NLP) methods in radiology; however, models have often used word embeddings trained on general web corpora due to lack of a radiology-specific corpus...
Machine Learning Natural Language Processing Radiology Semantics Unified Medical Language System
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