AIMC Journal:
Journal of biomedical informatics

Showing 391 to 400 of 650 articles

Domain transformation on biological event extraction by learning methods.

Journal of biomedical informatics Jun 18, 2019
Event extraction and annotation has become a significant focus of recent efforts in biological text mining and information extraction (IE). However, event extraction, event annotation methods, and resources have so far focused almost exclusively on a...
Models, Biological Data Mining Data Curation Gene Regulatory Networks Natural Language Processing Animals Deep Learning Databases, Factual
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Contextual label sensitive gated network for biomedical event trigger extraction.

Journal of biomedical informatics Jun 5, 2019
Biomedical events play a key role in improving biomedical research. Event trigger identification, extracting the words describing the event types, is a crucial and prerequisite step in the pipeline process of biomedical event extraction. There exist ...
Natural Language Processing Data Mining Semantics Neural Networks, Computer Biomedical Research
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Statistical supervised meta-ensemble algorithm for medical record linkage.

Journal of biomedical informatics May 31, 2019
Identifying unique patients across multiple care facilities or services is a major challenge in providing continuous care and undertaking health research. Identifying and linking patients without compromising privacy and security is an emerging issue...
Electronic Health Records Female Aged Young Adult Infant, Newborn Humans Algorithms Child, Preschool Databases, Factual Child Medical Record Linkage Middle Aged Supervised Machine Learning Infant Adult Adolescent Male
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Supervised methods to extract clinical events from cardiology reports in Italian.

Journal of biomedical informatics May 28, 2019
Clinical narratives are a valuable source of information for both patient care and biomedical research. Given the unstructured nature of medical reports, specific automatic techniques are required to extract relevant entities from such texts. In the ...
Heart Diseases Semantics Natural Language Processing Humans Neural Networks, Computer Electronic Health Records Italy Data Mining
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Towards the automated economic assessment of newborn screening for rare diseases.

Journal of biomedical informatics May 22, 2019
OBJECTIVE: Economic assessments of newborn screening programs for rare diseases involve the use of models and require huge efforts to synthesize information from different sources. Sharing and automatically or semi-automatically reusing this informat...
Biological Ontologies Neonatal Screening Rare Diseases Infant, Newborn Cost-Benefit Analysis Databases, Factual Computer Simulation Humans
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A distant supervision based approach to medical persona classification.

Journal of biomedical informatics May 11, 2019
Identifying medical persona from a social media post is critical for drug marketing, pharmacovigilance and patient recruitment. Medical persona classification aims to computationally model the medical persona associated with a social media post. We p...
Health Personnel Deep Learning Social Media Humans Neural Networks, Computer Pharmacovigilance
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A cross-lingual approach to automatic ICD-10 coding of death certificates by exploring machine translation.

Journal of biomedical informatics May 8, 2019
Automatic ICD-10 coding is an unresolved challenge in terms of Machine Learning tasks. Despite hospitals generating an enormous amount of clinical documents, data is considerably sparse, associated with a very skewed and unbalanced code distribution,...
International Classification of Diseases Translating Machine Learning Humans Electronic Health Records Automation
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Machine learning for phenotyping opioid overdose events.

Journal of biomedical informatics Apr 25, 2019
OBJECTIVE: To develop machine learning models for classifying the severity of opioid overdose events from clinical data.
Severity of Illness Index Analgesics, Opioid Phenotype Drug Overdose Humans Electronic Health Records Machine Learning
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Comparison of orthogonal NLP methods for clinical phenotyping and assessment of bone scan utilization among prostate cancer patients.

Journal of biomedical informatics Apr 20, 2019
OBJECTIVE: Clinical care guidelines recommend that newly diagnosed prostate cancer patients at high risk for metastatic spread receive a bone scan prior to treatment and that low risk patients not receive it. The objective was to develop an automated...
Humans Male Phenotype Guideline Adherence Electronic Health Records Natural Language Processing Bone Neoplasms Risk Factors Prostatic Neoplasms
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Concept embedding to measure semantic relatedness for biomedical information ontologies.

Journal of biomedical informatics Apr 19, 2019
There have been many attempts to identify relationships among concepts corresponding to terms from biomedical information ontologies such as the Unified Medical Language System (UMLS). In particular, vector representation of such concepts using infor...
Humans Natural Language Processing Semantics Biological Ontologies Unified Medical Language System
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