Semantic Composition of Web Portal Components

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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“…Such systems also may include reasoning capabilities consisting of data processing and analysis as well as knowledge extraction. 168 …”

Section: Concepts From Systems Medicine Modeling and Data Sciencementioning

confidence: 99%

An Early Stage Researcher's Primer on Systems Medicine Terminology

Zanin

Aitya

Basílio

et al. 2021

Network and Systems Medicine

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“…A lot of research has been done to support personalized actions and services in home care, chronic disease management, and ambient assisted living [ 33 - 37 ] with different personalized health status, body sensor networks, activity or behavior monitoring, decision support, and reminder applications [ 32 , 33 , 35 - 40 ]. In the hospital environment, many professionals are very agile, and context-aware technologies may help by personalizing services for them by location, time, and social context [ 41 ]. According to previous studies [ 33 , 42 ], there are several experiments on context-aware computing that have been created in hospital environments to improve patient record management, communication among professionals, and information sharing by including context awareness in patient room equipment.…”

Section: Introductionmentioning

confidence: 99%

Privacy-Related Context Information for Ubiquitous Health

Seppälä¹,

Nykänen²,

Ruotsalainen³

2014

JMIR Mhealth Uhealth

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BackgroundUbiquitous health has been defined as a dynamic network of interconnected systems. A system is composed of one or more information systems, their stakeholders, and the environment. These systems offer health services to individuals and thus implement ubiquitous computing. Privacy is the key challenge for ubiquitous health because of autonomous processing, rich contextual metadata, lack of predefined trust among participants, and the business objectives. Additionally, regulations and policies of stakeholders may be unknown to the individual. Context-sensitive privacy policies are needed to regulate information processing.ObjectiveOur goal was to analyze privacy-related context information and to define the corresponding components and their properties that support privacy management in ubiquitous health. These properties should describe the privacy issues of information processing. With components and their properties, individuals can define context-aware privacy policies and set their privacy preferences that can change in different information-processing situations.MethodsScenarios and user stories are used to analyze typical activities in ubiquitous health to identify main actors, goals, tasks, and stakeholders. Context arises from an activity and, therefore, we can determine different situations, services, and systems to identify properties for privacy-related context information in information-processing situations.ResultsPrivacy-related context information components are situation, environment, individual, information technology system, service, and stakeholder. Combining our analyses and previously identified characteristics of ubiquitous health, more detailed properties for the components are defined. Properties define explicitly what context information for different components is needed to create context-aware privacy policies that can control, limit, and constrain information processing. With properties, we can define, for example, how data can be processed or how components are regulated or in what kind of environment data can be processed.ConclusionsThis study added to the vision of ubiquitous health by analyzing information processing from the viewpoint of an individual’s privacy. We learned that health and wellness-related activities may happen in several environments and situations with multiple stakeholders, services, and systems. We have provided new knowledge regarding privacy-related context information and corresponding components by analyzing typical activities in ubiquitous health. With the identified components and their properties, individuals can define their personal preferences on information processing based on situational information, and privacy services can capture privacy-related context of the information-processing situation.

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Semantic Composition of Web Portal Components

Cited by 2 publications

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An Early Stage Researcher's Primer on Systems Medicine Terminology

An Early Stage Researcher's Primer on Systems Medicine Terminology

Privacy-Related Context Information for Ubiquitous Health

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