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Mathematics for Healthcare as Part of Computational Medicine

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Appropriate mathematical tools and methodologies are critical for ensuring robust and reliable computational model predictions based on medical and healthcare data in the era of the digital health revolution (Duggal et al., 2018). Patient-specific approaches are being increasingly pursued, with
simulations benchmarked by clinical data (e.g., brain activity recordings; Breakspear, 2017) obtained in non-invasive manner on individual level (e.g., resting state; Spetsieris et al., 2015). Precision Medicine, although not a new concept, is gaining momentum (Hodson, 2016) powered by the ever increasing volume of patients data (Colijn et al.). Quantifying patient similarity is an important challenge that is critical in predicting patients’ disease trajectories (Sharafoddini et al., 2017). In an opinion article (Brown) patient similarity concept has been introduced as a paradigm
shift in optimizing personalisation of patient care.

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Detail Information

Series Title

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Call Number

510 MAT

Publisher

: Frontiers Media SA., 2018

Collation

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Language

English

ISBN/ISSN

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Classification

510

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Mathematics for Healthcare

Specific Detail Info

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Statement of Responsibility

Penyunting, Krasimira Tsaneva-Atanasova, Vanessa Diaz

Other Information

Cataloger

Jemadi

Source

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Validator

maya

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