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Ling et al., 2023 - Google Patents

Interpretable machine learning text classification for clinical computed tomography reports–a case study of temporal bone fracture

Ling et al., 2023

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Document ID
4082414162063463118
Author
Ling T
Jake L
Adams J
Osinski K
Liu X
Friedland D
Publication year
Publication venue
Computer Methods and Programs in Biomedicine Update

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Snippet

Background Machine learning (ML) has demonstrated success in classifying patients' diagnostic outcomes in free-text clinical notes. However, due to the machine learning model's complexity, interpreting the mechanism behind classification results remains …
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    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • G—PHYSICS
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    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3431—Calculating a health index for the patient, e.g. for risk assessment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/324—Management of patient independent data, e.g. medical references in digital format
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    • G06Q10/00—Administration; Management

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