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A clinical text classification paradigm using weak …

    https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-018-0723-6
    Automatic clinical text classification is a natural language processing (NLP) technology that unlocks information embedded in clinical narratives. Machine learning approaches have been shown to be effective for clinical text classification tasks. …

ABSTRACT Automated Classification of Medical Text …

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.6536
    This thesis explores approaches for creating automatic classifiers of medical text reports. Classifiers that effectively detect clinical conditions from text reports can be …

Automated Classification of Textual SPECT Diagnostic …

    https://www.researchgate.net/publication/349462393_Automated_Classification_of_Textual_SPECT_Diagnostic_Reports_with_TextCNN_Model
    TextCNN was applied to propose the classification method of diseases. A set of real nuclear medical text data was used to verify the proposed method, the …

Automated classification of medical text reports

    https://www.semanticscholar.org/paper/Automated-classification-of-medical-text-reports-Wilcox/561befc1149dfc7cedffb1b0993318ae55886327
    Automated classification of medical text reports @inproceedings{Wilcox2000AutomatedCO, title={Automated classification of medical text reports}, author={Adam B. Wilcox}, …

Automated classification of free-text pathology reports for ...

    https://pubmed.ncbi.nlm.nih.gov/21792466/
    Conclusion: These results suggest that free-text pathology reports could be useful as a data source for automated systems in order to identify and notify new cases of …

Automatic Text Classification for Label Imputation of …

    https://link.springer.com/chapter/10.1007/978-3-030-01078-2_8
    The aim of this study is to adopt automatic text classification technologies to recover missing medical text labels for EMRs and support downstream analyses. A …

Automated Classification of Selected Data Elements …

    https://pubmed.ncbi.nlm.nih.gov/27406024/
    Our aim was to analyze if it is possible to make the manual documentation process more efficient by using methods of natural language processing for multiclass …

Medical Text Analytic Techniques And Its …

    https://towardsdatascience.com/medical-text-analytic-techniques-and-its-applications-c7419c7c1f6
    These data were generated from multiple sources such as EHR (Electronic Health Records), clinical research, patient’s internet of thing (IoT), outpatient’s medical records, patient’s …

Automated Classification of Textual SPECT Diagnostic …

    https://ui.adsabs.harvard.edu/abs/2021JPhCS1792a2023H/abstract
    Automated Classification of Textual SPECT Diagnostic Reports with TextCNN Model Han, Chengcheng ; Lin, Qiang ; Man, Zhengxing ; Cao, Yongchun ; Wang, Haijun The SPECT …

A Hybrid Text Classification and Language Generation …

    https://ieeexplore.ieee.org/abstract/document/9319371
    A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports Abstract: Breast cancer diagnosis is based on …



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