AIMC Journal:
Journal of biomedical informatics

Showing 321 to 330 of 650 articles

Clinical concept extraction: A methodology review.

Journal of biomedical informatics Aug 6, 2020
BACKGROUND: Concept extraction, a subdomain of natural language processing (NLP) with a focus on extracting concepts of interest, has been adopted to computationally extract clinical information from text for a wide range of applications ranging from...
Natural Language Processing Information Storage and Retrieval Research Design Bibliometrics
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Explainable classifier for improving the accountability in decision-making for colorectal cancer diagnosis from histopathological images.

Journal of biomedical informatics Aug 3, 2020
Pathologists are responsible for cancer type diagnoses from histopathological cancer tissues. However, it is known that microscopic examination is tedious and time-consuming. In recent years, a long list of machine learning approaches to image classi...
Humans Social Responsibility Neural Networks, Computer Pathologists Machine Learning Colorectal Neoplasms
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Alzheimer's Disease stage identification using deep learning models.

Journal of biomedical informatics Jul 23, 2020
OBJECTIVE: The aim of this research is to identify the stage of Alzheimer's Disease (AD) patients through the use of mobility data and deep learning models. This process facilitates the monitoring of the disease and allows actions to be taken in orde...
Deep Learning Humans Magnetic Resonance Imaging Neural Networks, Computer Alzheimer Disease
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Adversarial active learning for the identification of medical concepts and annotation inconsistency.

Journal of biomedical informatics Jul 18, 2020
OBJECTIVE: Named entity recognition (NER) is a principal task in the biomedical field and deep learning-based algorithms have been widely applied to biomedical NER. However, all of these methods that are applied to biomedical corpora use only annotat...
Language Algorithms Neural Networks, Computer
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An attention-based multi-task model for named entity recognition and intent analysis of Chinese online medical questions.

Journal of biomedical informatics Jul 14, 2020
In this paper, we propose an attention-based multi-task neural network model for text classification and sequence tagging and then apply it to the named entity recognition and the intent analysis of Chinese online medical questions. We found that the...
China Intention Text Messaging Neural Networks, Computer
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A knowledge-based system to find over-the-counter medicines for self-medication.

Journal of biomedical informatics Jul 14, 2020
This study developed a medicine query system based on Semantic Web and open data especially for self-medication users to search over-the-counter (OTC) medicines. Most existing medicine query systems are based on keyword searches. If users are uncerta...
Semantic Web Nonprescription Drugs Knowledge Bases Semantics Internet
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RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking.

Journal of biomedical informatics Jul 14, 2020
As an important task in digital preventive healthcare management, especially in the secondary prevention stage, active medication stocking refers to the process of preparing necessary medications in advance according to the predicted disease progress...
Deep Learning Humans Electronic Health Records
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Extraction of temporal relations from clinical free text: A systematic review of current approaches.

Journal of biomedical informatics Jul 13, 2020
BACKGROUND: Temporal relations between clinical events play an important role in clinical assessment and decision making. Extracting such relations from free text data is a challenging task because it lies on between medical natural language processi...
Machine Learning Information Storage and Retrieval Time Natural Language Processing Data Mining Electronic Health Records
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Agents and robots for collaborating and supporting physicians in healthcare scenarios.

Journal of biomedical informatics Jun 27, 2020
Monitoring patients through robotics telehealth systems is an interesting scenario where patients' conditions, and their environment, are dynamic and unknown variables. We propose to improve telehealth systems' features to include the ability to serv...
Pneumonia, Viral Emergency Medicine Monitoring, Physiologic Nursing Homes COVID-19 Infectious Disease Medicine Artificial Intelligence Robotics Aged Geriatrics Medical Informatics Humans Pandemics Computer Systems Coronavirus Infections Risk Models, Theoretical Telemedicine
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Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest X-ray reports using deep learning.

Journal of biomedical informatics Jun 18, 2020
Radiology reports contain a radiologist's interpretations of images, and these images frequently describe spatial relations. Important radiographic findings are mostly described in reference to an anatomical location through spatial prepositions. Suc...
Language Deep Learning Natural Language Processing Radiology X-Rays
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