Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.

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Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.

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2017年学术文章

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Medical subdomain classificati ...... language processing approach.

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Medical subdomain classificati ...... language processing approach.

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Medical subdomain classificati ...... language processing approach.

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Medical subdomain classificati ...... language processing approach.

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Medical subdomain classificati ...... language processing approach.

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Medical subdomain classificati ...... language processing approach.

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P1476

Medical subdomain classificati ...... language processing approach.

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P2093

Alexa T McCray

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Henry C Chueh

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Kavishwar B Wagholikar

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P2860

Automated de-identification of free-text medical records.

Long short-term memory

PhysioBank, PhysioToolkit, and PhysioNet : Components of a New Research Resource for Complex Physiologic Signals

A Maximum-Entropy approach for accurate document annotation in the biomedical domain

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

Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition.

N-gram support vector machines for scalable procedure and diagnosis classification, with applications to clinical free text data from the intensive care unit.

Aggregating UMLS semantic types for reducing conceptual complexity.

Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources.

P2888

s12911-017-0556-8

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155

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scholarly article

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10.1186/S12911-017-0556-8

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P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

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Peter Szolovits

Alexa McCray

Wei-Hung Weng

P577

2017-12-01T00:00:00Z

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P6179

1093093521

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29191207

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P921

machine learning

P932

5709846

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