早期研究人员系统医学术语入门。

Network and systems medicine Pub Date : 2021-02-25 eCollection Date: 2021-02-01 DOI:10.1089/nsm.2020.0003
Massimiliano Zanin, Nadim A A Aitya, José Basilio, Jan Baumbach, Arriel Benis, Chandan K Behera, Magda Bucholc, Filippo Castiglione, Ioanna Chouvarda, Blandine Comte, Tien-Tuan Dao, Xuemei Ding, Estelle Pujos-Guillot, Nenad Filipovic, David P Finn, David H Glass, Nissim Harel, Tomas Iesmantas, Ilinka Ivanoska, Alok Joshi, Karim Zouaoui Boudjeltia, Badr Kaoui, Daman Kaur, Liam P Maguire, Paula L McClean, Niamh McCombe, João Luís de Miranda, Mihnea Alexandru Moisescu, Francesco Pappalardo, Annikka Polster, Girijesh Prasad, Damjana Rozman, Ioan Sacala, Jose M Sanchez-Bornot, Johannes A Schmid, Trevor Sharp, Jordi Solé-Casals, Vojtěch Spiwok, George M Spyrou, Egils Stalidzans, Blaž Stres, Tijana Sustersic, Ioannis Symeonidis, Paolo Tieri, Stephen Todd, Kristel Van Steen, Milena Veneva, Da-Hui Wang, Haiying Wang, Hui Wang, Steven Watterson, KongFatt Wong-Lin, Su Yang, Xin Zou, Harald H H W Schmidt
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引用次数: 7

摘要

背景:系统医学是一种新颖的医学方法,即将人体视为一个系统,由多个部分和多个层次的复杂关系组成,并进一步融入环境的跨学科领域。探索系统医学意味着理解和结合来自截然不同领域的概念,包括医学、生物学、统计学、建模和仿真以及数据科学。这种异质性导致语义问题,这可能会减缓这些高度多样化的领域之间的实现和富有成效的互动。方法:在这篇综述中,我们收集并解释了100多个与系统医学相关的术语。其中包括建模和数据科学术语以及基本的系统医学术语,以及一些综合定义、应用程序示例和相关参考列表。结果:本术语表旨在成为系统医学研究人员面对陌生术语的急救包,在这里他/她可以首先了解它们,更重要的是,为深入研究该主题提供了示例和参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An Early Stage Researcher's Primer on Systems Medicine Terminology.

An Early Stage Researcher's Primer on Systems Medicine Terminology.

An Early Stage Researcher's Primer on Systems Medicine Terminology.

An Early Stage Researcher's Primer on Systems Medicine Terminology.

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.

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