SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.

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SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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name

SemEHR: A general-purpose sema ...... itment, and clinical research.

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SemEHR: A general-purpose sema ...... itment, and clinical research.

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Item

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SemEHR: A general-purpose sema ...... itment, and clinical research.

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SemEHR: A general-purpose sema ...... itment, and clinical research.

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SemEHR: A general-purpose sema ...... uitment, and clinical research

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SemEHR: A general-purpose sema ...... itment, and clinical research.

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SemEHR: A general-purpose sema ...... itment, and clinical research.

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SemEHR: A general-purpose sema ...... uitment, and clinical research

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Asha Agrawal

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Clive Stringer

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Darren Gale

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Genevieve Gorrell

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Giulia Toti

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Ismail Kartoglu

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Matthew Broadbent

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Richard Jackson

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Zina M Ibrahim

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P2860

Population cardiovascular health and urban environments: the Heart Healthy Hoods exploratory study in Madrid, Spain

Identification of Adverse Drug Events from Free Text Electronic Patient Records and Information in a Large Mental Health Case Register

Beyond open big data: addressing unreliable research.

MIMIC-III, a freely accessible critical care database

The Unified Medical Language System (UMLS): integrating biomedical terminology.

Combining structured and unstructured data to identify a cohort of ICU patients who received dialysis.

Extracting antipsychotic polypharmacy data from electronic health records: developing and evaluating a novel process.

Data integration of structured and unstructured sources for assigning clinical codes to patient stays

Predicting neutropenia risk in patients with cancer using electronic data.

Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.

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530-537

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scholarly article

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10.1093/JAMIA/OCX160

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English

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2018-05-01T00:00:00Z

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29361077

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6019046

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