AIMC Journal:
Journal of biomedical informatics

Showing 171 to 180 of 650 articles

Semisupervised neural biomedical sense disambiguation approach for aspect-based sentiment analysis on social networks.

Journal of biomedical informatics Oct 25, 2022
Patient narratives on social networks contain large amounts of objective information, such as the descriptions of examinations and interventions. Sentiment analysis (SA) models are mostly used to evaluate the conveyed sentiments by patients in these ...
Vocabulary, Controlled Social Networking Sentiment Analysis Algorithms Medical Subject Headings Humans
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A multi-feature deep learning system to enhance glaucoma severity diagnosis with high accuracy and fast speed.

Journal of biomedical informatics Oct 21, 2022
Glaucoma is the leading cause of irreversible blindness, and the early detection and timely treatment are essential for glaucoma management. However, due to the interindividual variability in the characteristics of glaucoma onset, a single feature is...
Humans Photography Glaucoma Deep Learning Diagnosis, Computer-Assisted Diagnostic Techniques, Ophthalmological
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Deep learning for rare disease: A scoping review.

Journal of biomedical informatics Oct 17, 2022
Although individually rare, collectively more than 7,000 rare diseases affect about 10% of patients. Each of the rare diseases impacts the quality of life for patients and their families, and incurs significant societal costs. The low prevalence of e...
Nervous System Diseases Rare Diseases Humans Deep Learning Neural Networks, Computer Quality of Life
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RadioBERT: A deep learning-based system for medical report generation from chest X-ray images using contextual embeddings.

Journal of biomedical informatics Oct 10, 2022
BACKGROUND: Increasing number of chest X-ray (CXR) examinations in radiodiagnosis departments burdens radiologists' and makes the timely generation of accurate radiological reports highly challenging. An automatic radiological report generation (ARRG...
Linguistics X-Rays Humans Neural Networks, Computer Deep Learning Natural Language Processing
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Longitudinal deep learning clustering of Type 2 Diabetes Mellitus trajectories using routinely collected health records.

Journal of biomedical informatics Oct 8, 2022
Type 2 diabetes mellitus (T2DM) is a highly heterogeneous chronic disease with different pathophysiological and genetic characteristics affecting its progression, associated complications and response to therapies. The advances in deep learning (DL) ...
Humans Diabetes Mellitus, Type 2 Cluster Analysis Cross-Sectional Studies Deep Learning Glycated Hemoglobin
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Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients.

Journal of biomedical informatics Oct 5, 2022
Robust and rabid mortality prediction is crucial in intensive care units because it is considered one of the critical steps for treating patients with serious conditions. Combining mortality prediction with the length of stay (LoS) prediction adds an...
Algorithms Intensive Care Units, Neonatal Intensive Care Units Humans Infant, Newborn Machine Learning Length of Stay
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De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models.

Journal of biomedical informatics Oct 3, 2022
Electronic Medical Records (EMRs) contain clinical narrative text that is of great potential value to medical researchers. However, this information is mixed with Personally Identifiable Information (PII) that presents risks to patient and clinician ...
Electronic Health Records Hospitals Humans Deep Learning Australia Natural Language Processing Patient Discharge
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FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model.

Journal of biomedical informatics Sep 9, 2022
BACKGROUND: Knowledge graphs (KGs) play a key role to enable explainable artificial intelligence (AI) applications in healthcare. Constructing clinical knowledge graphs (CKGs) against heterogeneous electronic health records (EHRs) has been desired by...
Electronic Health Records Data Warehousing Artificial Intelligence Humans Pattern Recognition, Automated Delivery of Health Care
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Development of comprehensive annotation criteria for patients' states from clinical texts.

Journal of biomedical informatics Sep 9, 2022
In clinical records, much of the clinical information is recorded as free text, thus necessitating the use of advanced automatic information extraction technology. The development of practical technologies requires a corpus with finer granularity ann...
Natural Language Processing Humans Information Storage and Retrieval
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Weakly Semi-supervised phenotyping using Electronic Health records.

Journal of biomedical informatics Sep 5, 2022
OBJECTIVE: Electronic Health Record (EHR) based phenotyping is a crucial yet challenging problem in the biomedical field. Though clinicians typically determine patient-level diagnoses via manual chart review, the sheer volume and heterogeneity of EHR...
Algorithms Logistic Models Phenotype Electronic Health Records Supervised Machine Learning
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