Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection

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Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes.Recognition of Traffic Sign Based on Bag-of-Words and Artificial Neural Network

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Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection

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2017 nî lūn-bûn

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Automatic ICD-10 multi-class c ...... xpert-driven feature selection

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Automatic ICD-10 multi-class c ...... xpert-driven feature selection

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Automatic ICD-10 multi-class c ...... xpert-driven feature selection

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Automatic ICD-10 multi-class c ...... xpert-driven feature selection

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Automatic ICD-10 multi-class c ...... xpert-driven feature selection

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Automatic ICD-10 multi-class c ...... xpert-driven feature selection

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Ghulam Mujtaba

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Khairunisa Shaikh

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

Mohammed Ali Al-Garadi

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

Retnagowri Rajandram

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Toward better public health reporting using existing off the shelf approaches: A comparison of alternative cancer detection approaches using plaintext medical data and non-dictionary based feature selection.

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e0170242

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scholarly article

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10.1371/JOURNAL.PONE.0170242

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English

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Ram Gopal Raj

Liyana Shuib

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2017-02-06T00:00:00Z

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28166263

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autopsy

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5293233

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Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection

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P2860

P2860

Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection

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