An Early Stage Researcher's Primer on Systems Medicine Terminology
Journal
Network and Systems Medicine
Date Issued
2021-02-01
Author(s)
Zanin, Massimiliano
Aitya, Nadim A.A.
Basilio, José
Baumbach, Jan
Benis, Arriel
Behera, Chandan K.
Bucholc, Magda
Castiglione, Filippo
Chouvarda, Ioanna
Comte, Blandine
Dao, Tien-Tuan
Ding, Xuemei
Pujos-Guillot, Estelle
Filipovic, Nenad
Finn, David P.
Glass, David H.
Harel, Nissim
Iesmantas, Tomas
Joshi, Alok
Boudjeltia, Karim Zouaoui
Kaoui, Badr
Kaur, Daman
Maguire, Liam P.
McClean, Paula L.
McCombe, Niamh
de Miranda, João Luís
Moisescu, Mihnea Alexandru
Pappalardo, Francesco
Polster, Annikka
Prasad, Girijesh
Rozman, Damjana
Sacala, Ioan
Sanchez-Bornot, Jose M.
Schmid, Johannes A.
Sharp, Trevor
Solé-Casals, Jordi
Spiwok, Vojtěch
Spyrou, George M.
Stalidzans, Egils
Stres, Blaž
Sustersic, Tijana
Symeonidis, Ioannis
Tieri, Paolo
Todd, Stephen
Van Steen, Kristel
Veneva, Milena
Wang, Da-Hui
Wang, Haiying
Wang, Hui
Watterson, Steven
Wong-Lin, KongFatt
Yang, Su
Zou, Xin
Schmidt, Harald H.H.W.
DOI
10.1089/nsm.2020.0003
Abstract
Background:
Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields.
Methods:
In this review, we collect and explain more than100 terms related to Systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references.
Results:
This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic.
Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields.
Methods:
In this review, we collect and explain more than100 terms related to Systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references.
Results:
This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic.