AIMC Topic: Information Storage and Retrieval

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Prescription extraction using CRFs and word embeddings.

Journal of biomedical informatics Jul 4, 2017
In medical practices, doctors detail patients' care plan via discharge summaries written in the form of unstructured free texts, which among the others contain medication names and prescription information. Extracting prescriptions from discharge sum...
Prescriptions Information Storage and Retrieval Patient Discharge Summaries Machine Learning Natural Language Processing Humans
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Semantic relatedness and similarity of biomedical terms: examining the effects of recency, size, and section of biomedical publications on the performance of word2vec.

BMC medical informatics and decision making Jul 3, 2017
BACKGROUND: Understanding semantic relatedness and similarity between biomedical terms has a great impact on a variety of applications such as biomedical information retrieval, information extraction, and recommender systems. The objective of this st...
Humans Biomedical Research PubMed Models, Theoretical Information Storage and Retrieval Natural Language Processing Semantics
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SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature.

Journal of biomedical semantics Apr 7, 2017
BACKGROUND: Single Nucleotide Polymorphisms (SNPs) are among the most important types of genetic variations influencing common diseases and phenotypes. Recently, some corpora and methods have been developed with the purpose of extracting mutations an...
Semantics Gene Ontology Mutation Phenotype Information Storage and Retrieval Polymorphism, Single Nucleotide
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A Machine Learning-based Method for Question Type Classification in Biomedical Question Answering.

Methods of information in medicine Mar 31, 2017
BACKGROUND AND OBJECTIVE: Biomedical question type classification is one of the important components of an automatic biomedical question answering system. The performance of the latter depends directly on the performance of its biomedical question ty...
Biological Ontologies Pattern Recognition, Automated Information Storage and Retrieval Semantics Surveys and Questionnaires Natural Language Processing Machine Learning
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A passage retrieval method based on probabilistic information retrieval model and UMLS concepts in biomedical question answering.

Journal of biomedical informatics Mar 7, 2017
BACKGROUND AND OBJECTIVE: Passage retrieval, the identification of top-ranked passages that may contain the answer for a given biomedical question, is a crucial component for any biomedical question answering (QA) system. Passage retrieval in open-do...
PubMed Information Storage and Retrieval Unified Medical Language System Models, Statistical Natural Language Processing
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Structuring Legacy Pathology Reports by openEHR Archetypes to Enable Semantic Querying.

Methods of information in medicine Feb 28, 2017
BACKGROUND: Clinical information is often stored as free text, e.g. in discharge summaries or pathology reports. These documents are semi-structured using section headers, numbered lists, items and classification strings. However, it is still challen...
Electronic Health Records Natural Language Processing Machine Learning Medical Record Linkage Vocabulary, Controlled Semantics Pathology Guidelines as Topic Data Curation Health Information Interoperability Information Storage and Retrieval
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Interactive Exploration for Continuously Expanding Neuron Databases.

Methods (San Diego, Calif.) Feb 17, 2017
This paper proposes a novel framework to help biologists explore and analyze neurons based on retrieval of data from neuron morphological databases. In recent years, the continuously expanding neuron databases provide a rich source of information to ...
Information Storage and Retrieval Pattern Recognition, Automated Image Processing, Computer-Assisted Neurons Artificial Intelligence Databases, Factual Humans
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Ensembles of NLP Tools for Data Element Extraction from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Natural Language Processing (NLP) is essential for concept extraction from narrative text in electronic health records (EHR). To extract numerous and diverse concepts, such as data elements (i.e., important concepts related to a certain medical condi...
Data Collection Information Storage and Retrieval Electronic Health Records Natural Language Processing Humans
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Automatic data source identification for clinical trial eligibility criteria resolution.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Clinical trial coordinators refer to both structured and unstructured sources of data when evaluating a subject for eligibility. While some eligibility criteria can be resolved using structured data, some require manual review of clinical notes. An i...
Eligibility Determination Natural Language Processing Electronic Health Records Humans Patient Selection Heart Failure Leukemia, Lymphocytic, Chronic, B-Cell Information Storage and Retrieval Machine Learning Clinical Trials as Topic
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Resource Classification for Medical Questions.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
We present an approach for manually and automatically classifying the resource type of medical questions. Three types of resources are considered: patient-specific, general knowledge, and research. Using this approach, an automatic question answering...
Hypersensitivity Machine Learning Information Storage and Retrieval Algorithms Natural Language Processing Semantics Humans Datasets as Topic Information Seeking Behavior
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