585 research outputs found
SSDOnt: an Ontology for representing Single-Subject Design Studies
Background: Single-Subject Design is used in several areas such as education and biomedicine. However, no suited formal vocabulary exists for annotating the detailed configuration and the results of this type of research studies with the appropriate granularity for looking for information about them. Therefore, the search for those study designs relies heavily on a syntactical search on the abstract, keywords or full text of the publications about the study, which entails some limitations.
Objective: To present SSDOnt, a specific purpose ontology for describing and annotating single-subject design studies, so that complex questions can be asked about them afterwards.
Methods: The ontology was developed following the NeOn methodology. Once the requirements of the ontology were defined, a formal model was described in a Description Logic and later implemented in the ontology language OWL 2 DL.
Results: We show how the ontology provides a reference model with a suitable terminology for the annotation and searching of single-subject design studies and their main components, such as the phases, the intervention types, the outcomes and the results. Some mappings with terms of related ontologies have been established. We show as proof-of-concept that classes in the ontology can be easily extended to annotate more precise information about specific interventions and outcomes such as those related to autism. Moreover, we provide examples of some types of queries that can be posed to the ontology.
Conclusions: SSDOnt has achieved the purpose of covering the descriptions of the domain of single-subject research studies.This work was supported by the Spanish Ministry of Economy and Competitiveness (FEDER/TIN2013-46238-C4-1-R and FEDER/TIN2016-78011-C4-2-
Designing ubiquitous computing for reflection and learning in diabetes management
This dissertation proposes principles for the design of ubiquitous health monitoring applications that support reflection and learning in context of diabetes management. Due to the high individual differences between diabetes cases, each affected individual must find the optimal combination of lifestyle alterations and medication through reflective analysis of personal diseases history. This dissertation advocates using technology to enable individuals' proactive engagement in monitoring of their health. In particular, it proposes promoting individuals' engagement in reflection by exploiting breakdowns in individuals' routines or understanding; supporting continuity in thinking that leads to a systematic refinement of ideas; and supporting articulation of thoughts and understanding that helps to transform insights into knowledge. The empirical evidence for these principles was gathered thought the deployment studies of three ubiquitous computing applications that help individuals with diabetes in management of their diseases. These deployment studies demonstrated that technology for reflection helps individuals achieve their personal disease management goals, such as diet goals. In addition, they showed that using technology helps individuals embrace a proactive attitude towards their health indicated by their adoption of the internal locus of control.Ph.D.Committee Chair: Elizabeth D. Mynatt; Committee Member: Abowd, Gregory; Committee Member: Bruckman, Amy; Committee Member: Dourish, Paul; Committee Member: Nersessian, Nanc
SEMANTIC DATA CLOUDING OVER THE WEBS
Very often, for business or personal needs, users require to retrieve, in a very fast way,
all the available relevant information about a focused target entity, in order to take
decisions, organize business work, plan future actions. To answer this kind of \u201centity\u201d-
driven user needs, a huge multiplicity of web resources is actually available, coming
from the Social Web and related user-centered services (e.g., news publishing, social
networks, microblogging systems), from the Semantic Web and related ontologies and
knowledge repositories, and from the conventional Web of Documents. The Ph.D.
thesis is devoted to define the notion of in-cloud and a semantic clouding approach for
the construction of in-clouds that works over the Social Web, the Semantic Web, and
the Web of Documents. in-clouds are built for a target entity of interest to organize all
relevant web resources, modeled as web data items, into a graph, on the basis of their
level of prominence and reciprocal closeness. Prominence captures the importance of
a web resource within the in-cloud, by distinguishing, also in a visual way \u201ca la tagcloud\u201d, how much relevant web resources are with respect to the target entity. The
level of closeness between web resources is evaluated using matching and clustering
techniques, with the goal of determining how similar web resources are to each other
and with respect to the target entity
A protected discharge facility for the elderly: design and validation of a working proof-of-concept
With the increasing share of elderly population worldwide, the need for assistive
technologies to support clinicians in monitoring their health conditions is becoming
more and more relevant. As a quantitative tool, geriatricians recently proposed the
notion of frail elderly, which rapidly became a key element of clinical practices for the
estimation of well-being in aging population. The evaluation of frailty is commonly
based on self-reported outcomes and occasional physicians evaluations, and may
therefore contain biased results.
Another important aspect in the elderly population is hospitalization as a risk factor
for patient\u2019s well being and public costs. Hospitalization is the main cause of functional
decline, especially in older adults. The reduction of hospitalization time may
allow an improvement of elderly health conditions and a reduction of hospital costs.
Furthermore, a gradual transition from a hospital environment to a home-like one,
can contribute to the weaning of the patient from a condition of hospitalization to a
condition of discharge to his home. The advent of new technologies allows for the
design and implementation of smart environments to monitor elderly health status
and activities, fulfilling all the requirements of health and safety of the patients.
From these starting points, in this thesis I present data-driven methodologies to
automatically evaluate one of the main aspects contributing to the frailty estimation,
i.e., the motility of the subject. First I will describe a model of protected discharge
facility, realized in collaboration and within the E.O. Ospedali Galliera (Genoa, Italy),
where patients can be monitored by a system of sensors while physicians and nurses
have the opportunity to monitor them remotely. This sensorised facility is being
developed to assist elderly users after they have been dismissed from the hospital
and before they are ready to go back home, with the perspective of coaching them
towards a healthy lifestyle. The facility is equipped with a variety of sensors (vision,
depth, ambient and wearable sensors and medical devices), but in my thesis I primarily
focus on RGB-D sensors and present visual computing tools to automatically
estimate motility features. I provide an extensive system assessment I carried out onthree different experimental sessions with help of young as well as healthy aging volunteers. The results I present are in agreement with the assessment manually
performed by physicians, showing the potential capability of my approach to complement
current protocols of evaluation
Arquiteturas federadas para integração de dados biomédicos
Doutoramento Ciências da ComputaçãoThe last decades have been characterized by a continuous adoption of
IT solutions in the healthcare sector, which resulted in the proliferation
of tremendous amounts of data over heterogeneous systems. Distinct
data types are currently generated, manipulated, and stored, in the
several institutions where patients are treated. The data sharing and an
integrated access to this information will allow extracting relevant
knowledge that can lead to better diagnostics and treatments.
This thesis proposes new integration models for gathering information
and extracting knowledge from multiple and heterogeneous biomedical
sources.
The scenario complexity led us to split the integration problem according
to the data type and to the usage specificity. The first contribution is a
cloud-based architecture for exchanging medical imaging services. It
offers a simplified registration mechanism for providers and services,
promotes remote data access, and facilitates the integration of
distributed data sources. Moreover, it is compliant with international
standards, ensuring the platform interoperability with current medical
imaging devices. The second proposal is a sensor-based architecture
for integration of electronic health records. It follows a federated
integration model and aims to provide a scalable solution to search and
retrieve data from multiple information systems. The last contribution is
an open architecture for gathering patient-level data from disperse and
heterogeneous databases. All the proposed solutions were deployed
and validated in real world use cases.A adoção sucessiva das tecnologias de comunicação e de informação
na área da saúde tem permitido um aumento na diversidade e na
qualidade dos serviços prestados, mas, ao mesmo tempo, tem gerado
uma enorme quantidade de dados, cujo valor cientÃfico está ainda por
explorar. A partilha e o acesso integrado a esta informação poderá
permitir a identificação de novas descobertas que possam conduzir a
melhores diagnósticos e a melhores tratamentos clÃnicos.
Esta tese propõe novos modelos de integração e de exploração de
dados com vista à extração de conhecimento biomédico a partir de
múltiplas fontes de dados.
A primeira contribuição é uma arquitetura baseada em nuvem para
partilha de serviços de imagem médica. Esta solução oferece um
mecanismo de registo simplificado para fornecedores e serviços,
permitindo o acesso remoto e facilitando a integração de diferentes
fontes de dados. A segunda proposta é uma arquitetura baseada em
sensores para integração de registos electrónicos de pacientes. Esta
estratégia segue um modelo de integração federado e tem como
objetivo fornecer uma solução escalável que permita a pesquisa em
múltiplos sistemas de informação. Finalmente, o terceiro contributo é
um sistema aberto para disponibilizar dados de pacientes num contexto
europeu. Todas as soluções foram implementadas e validadas em
cenários reais
Enabling the Development and Implementation of Digital Twins : Proceedings of the 20th International Conference on Construction Applications of Virtual Reality
Welcome to the 20th International Conference on Construction Applications of Virtual Reality (CONVR 2020). This year we are meeting on-line due to the current Coronavirus pandemic. The overarching theme for CONVR2020 is "Enabling the development and implementation of Digital Twins". CONVR is one of the world-leading conferences in the areas of virtual reality, augmented reality and building information modelling. Each year, more than 100 participants from all around the globe meet to discuss and exchange the latest developments and applications of virtual technologies in the architectural, engineering, construction and operation industry (AECO). The conference is also known for having a unique blend of participants from both academia and industry. This year, with all the difficulties of replicating a real face to face meetings, we are carefully planning the conference to ensure that all participants have a perfect experience. We have a group of leading keynote speakers from industry and academia who are covering up to date hot topics and are enthusiastic and keen to share their knowledge with you. CONVR participants are very loyal to the conference and have attended most of the editions over the last eighteen editions. This year we are welcoming numerous first timers and we aim to help them make the most of the conference by introducing them to other participants
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