Ridge regression algorithm based non-invasive anaemia screening using conjunctiva images
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02618-3.pdf
Reference33 articles.
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2. Botchkarev A (2018) Evaluating performance of regression machine learning models using multiple error metrics in Azure machine learning studio. SSRN Electron J. https://doi.org/10.2139/ssrn.3177507
3. Chen YM, Miaou SG (2017) A Kalman filtering and nonlinear penalty regression approach for noninvasive anaemia detection with palpebral conjunctiva images. J Healthc Eng. https://doi.org/10.1155/2017/9580385
4. Chen YM, Miaou SG, Bian H (2016) Examining palpebral conjunctiva for anaemia assessment with image processing methods. Comput Methods Progr Biomed. https://doi.org/10.1016/j.cmpb.2016.08.025
5. Collings S, Thompson O, Hirst E, Goossens L, George A, Weinkove R (2016) Non-invasive detection of anaemia using digital photographs of the conjunctiva. PLoS ONE 11:4. https://doi.org/10.1371/journal.pone.0153286
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