Mathematics for Healthcare
Dublin Core
Title
Mathematics for Healthcare
Subject
Mathematics for Healthcare
Description
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.
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.
Creator
Krasimira Tsaneva-Atanasova, Vanessa Diaz-Zuccarini
Source
https://www.frontiersin.org/research-topics/4555/mathematics-for-healthcare-as-part-of-computational-medicine
Publisher
Frontiers Media SA
Date
2018
Contributor
Baihaqi
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Krasimira Tsaneva-Atanasova, Vanessa Diaz-Zuccarini , “Mathematics for Healthcare,” Open Educational Resource (OER) - USK Library, accessed November 2, 2024, http://uilis.usk.ac.id/oer/items/show/2937.