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Opportunities and Challenges for Machine Learning in Rare Diseases. | LitMetric

Opportunities and Challenges for Machine Learning in Rare Diseases.

Front Med (Lausanne)

Department of Rare Skeletal Disorders, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Published: October 2021

AI Article Synopsis

Article Abstract

Rare diseases (RDs) are complicated health conditions that are difficult to be managed at several levels. The scarcity of available data chiefly determines an intricate scenario even for experts and specialized clinicians, which in turn leads to the so called "diagnostic odyssey" for the patient. This situation calls for innovative solutions to support the decision process quantitative and automated tools. Machine learning brings to the stage a wealth of powerful inference methods; however, matching the health conditions with advanced statistical techniques raises methodological, technological, and even ethical issues. In this contribution, we critically point to the specificities of the dialog of rare diseases with machine learning techniques concentrating on the key steps and challenges that may hamper or create actionable knowledge and value for the patient together with some on-field methodological suggestions and considerations.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523988PMC
http://dx.doi.org/10.3389/fmed.2021.747612DOI Listing

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