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  1. Article ; Online: The Role of HL7 FHIR in the European Project GATEKEEPER.

    Gazzarata, Roberta / Chronaki, Catherine / Gallego, Alba / Gaeta, Eugenio / Fico, Giuseppe / Zampognaro, Paolo / Mercalli, Franco / Giuliani, Francesco / Allocca, Carlo / Cangioli, Giorgio

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 1337–1338

    Abstract: The European Project GATEKEEPER aims to develop a platform and marketplace to ensure a healthier independent life for the aging population. In this platform the role of HL7 FHIR is to provide a shared logical data model to collect data in heterogeneous ... ...

    Abstract The European Project GATEKEEPER aims to develop a platform and marketplace to ensure a healthier independent life for the aging population. In this platform the role of HL7 FHIR is to provide a shared logical data model to collect data in heterogeneous living, which can be used by AI Service and the Gatekeeper HL7 FHIR Implementation Guide was created for this purpose. Independent pilots used this IG and illustrate the impact of the approach, benefit, value, and scalability.
    MeSH term(s) Health Promotion ; Data Collection ; Humans ; Aged
    Language English
    Publishing date 2024-02-15
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI231183
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Experience from the Development of HL7 FHIR IG for Gatekeeper Project.

    Gazzarata, Roberta / Chronaki, Catherine / Gallego, Alba / Gaeta, Eugenio / Fico, Giuseppe / Zampognaro, Paolo / Mercalli, Franco / Giuliani, Francesco / Allocca, Carlo / Cangioli, Giorgio

    Studies in health technology and informatics

    2023  Volume 305, Page(s) 106–109

    Abstract: The GATEKEEPER (GK) Project was financed by the European Commission to develop a platform and marketplace to share and match ideas, technologies, user needs and processes to ensure a healthier independent life for the aging population connecting all the ... ...

    Abstract The GATEKEEPER (GK) Project was financed by the European Commission to develop a platform and marketplace to share and match ideas, technologies, user needs and processes to ensure a healthier independent life for the aging population connecting all the actors involved in the care circle. In this paper, the GK platform architecture is presented focusing on the role of HL7 FHIR to provide a shared logical data model to be explored in heterogeneous daily living environments. GK pilots are used to illustrate the impact of the approach, benefit value, and scalability, suggesting ways to further accelerate progress.
    MeSH term(s) Health Status ; Technology
    Language English
    Publishing date 2023-06-19
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230435
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Design and Adoption of a FHIR IG to Support a Telemonitoring Environment in Gatekeeper Project.

    Gazzarata, Roberta / Chronaki, Catherine / Ricciardi, Francesco / Giuliani, Francesco / Zampognaro, Paolo / Mercalli, Franco / Allocca, Carlo / Gaeta, Eugenio / Fico, Giuseppe / Cangioli, Giorgio

    Studies in health technology and informatics

    2023  Volume 309, Page(s) 106–110

    Abstract: Telemedicine can provide benefits in patient affected by chronic diseases or elderly citizens as part of standard routine care supported by digital health. The GATEKEEPER (GK) Project was financed to create a vendor independent platform to be adopted in ... ...

    Abstract Telemedicine can provide benefits in patient affected by chronic diseases or elderly citizens as part of standard routine care supported by digital health. The GATEKEEPER (GK) Project was financed to create a vendor independent platform to be adopted in medical practice and to demonstrate its effect, benefit value, and scalability in 8 connected medical use cases with some independent pilots. This paper, after a description of the GK platform architecture, is focused on the creation of a FHIR (Fast Healthcare Interoperability Resource) IG (Implementation Guide) and its adoption in specific use cases. The final aim is to combine conventional data, collected in the hospital, with unconventional data, coming from wearable devices, to exploit artificial intelligence (AI) models designed to evaluate the effectiveness of a new parsimonious risk prediction model for Type 2 diabetes (T2D).
    MeSH term(s) Humans ; Aged ; Electronic Health Records ; Artificial Intelligence ; Diabetes Mellitus, Type 2 ; Delivery of Health Care ; Telemedicine ; Health Level Seven
    Language English
    Publishing date 2023-10-05
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230751
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Online: DeepOnto

    He, Yuan / Chen, Jiaoyan / Dong, Hang / Horrocks, Ian / Allocca, Carlo / Kim, Taehun / Sapkota, Brahmananda

    A Python Package for Ontology Engineering with Deep Learning

    2023  

    Abstract: Applying deep learning techniques, particularly language models (LMs), in ontology engineering has raised widespread attention. However, deep learning frameworks like PyTorch and Tensorflow are predominantly developed for Python programming, while widely- ...

    Abstract Applying deep learning techniques, particularly language models (LMs), in ontology engineering has raised widespread attention. However, deep learning frameworks like PyTorch and Tensorflow are predominantly developed for Python programming, while widely-used ontology APIs, such as the OWL API and Jena, are primarily Java-based. To facilitate seamless integration of these frameworks and APIs, we present Deeponto, a Python package designed for ontology engineering. The package encompasses a core ontology processing module founded on the widely-recognised and reliable OWL API, encapsulating its fundamental features in a more "Pythonic" manner and extending its capabilities to include other essential components including reasoning, verbalisation, normalisation, projection, and more. Building on this module, Deeponto offers a suite of tools, resources, and algorithms that support various ontology engineering tasks, such as ontology alignment and completion, by harnessing deep learning methodologies, primarily pre-trained LMs. In this paper, we also demonstrate the practical utility of Deeponto through two use-cases: the Digital Health Coaching in Samsung Research UK and the Bio-ML track of the Ontology Alignment Evaluation Initiative (OAEI).

    Comment: under review at Semantic Web Journal
    Keywords Computer Science - Artificial Intelligence ; Computer Science - Computation and Language ; Computer Science - Machine Learning ; Computer Science - Logic in Computer Science
    Subject code 006
    Publishing date 2023-07-06
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  5. Article: A Preliminary Investigation of Reversing RML: From an RDF dataset to its Column-Based data source.

    Allocca, Carlo / Gougousis, Alexandros

    Biodiversity data journal

    2015  , Issue 3, Page(s) e5464

    Abstract: Background: A large percentage of scientific data with tabular structure are published on the Web of Data as interlinked RDF datasets. When we come to the issue of long-term preservation of such RDF-based digital objects, it is important to provide full ...

    Abstract Background: A large percentage of scientific data with tabular structure are published on the Web of Data as interlinked RDF datasets. When we come to the issue of long-term preservation of such RDF-based digital objects, it is important to provide full support for reusing them in the future. In particular, it should include means for both players who have no familiarity with RDF data model and, at the same time, who by working only with the native format of the data still provide sufficient information. To achieve this, we need mechanisms to bring the data back to their original format and structure.
    New information: In this paper, we investigate how to perform the reverse process for column-based data sources. In particular, we devise an algorithm, RML2CSV, and exemplify its implementation in transforming an RDF dataset into its CSV tabular structure, through the use of the same RML mapping document that was used to generate the set of RDF triples. Through a set of content-based criteria, we attempt a comparative evaluation to measure the similarity between the rebuilt CSV and the original one. The results are promising and show that, under certain assumptions, RML2CSV reconstructs the same data with the same structure, offering more advanced digital preservation services.
    Language English
    Publishing date 2015-07-29
    Publishing country Bulgaria
    Document type Journal Article
    ZDB-ID 2736709-5
    ISSN 1314-2828
    ISSN 1314-2828
    DOI 10.3897/BDJ.3.e5464
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Digital Remote Monitoring Using an mHealth Solution for Survivors of Cancer: Protocol for a Pilot Observational Study.

    Innominato, Pasquale F / Macdonald, Jamie H / Saxton, Wendy / Longshaw, Laura / Granger, Rachel / Naja, Iman / Allocca, Carlo / Edwards, Ruth / Rasheed, Solah / Folkvord, Frans / de Batlle, Jordi / Ail, Rohit / Motta, Enrico / Bale, Catherine / Fuller, Claire / Mullard, Anna P / Subbe, Christian P / Griffiths, Dawn / Wreglesworth, Nicholas I /
    Pecchia, Leandro / Fico, Giuseppe / Antonini, Alessio

    JMIR research protocols

    2024  Volume 13, Page(s) e52957

    Abstract: Background: Healthy lifestyle interventions have a positive impact on multiple disease trajectories, including cancer-related outcomes. Specifically, appropriate habitual physical activity, adequate sleep, and a regular wholesome diet are of paramount ... ...

    Abstract Background: Healthy lifestyle interventions have a positive impact on multiple disease trajectories, including cancer-related outcomes. Specifically, appropriate habitual physical activity, adequate sleep, and a regular wholesome diet are of paramount importance for the wellness and supportive care of survivors of cancer. Mobile health (mHealth) apps have the potential to support novel tailored lifestyle interventions.
    Objective: This observational pilot study aims to assess the feasibility of mHealth multidimensional longitudinal monitoring in survivors of cancer. The primary objective is to test the compliance (user engagement) with the monitoring solution. Secondary objectives include recording clinically relevant subjective and objective measures collected through the digital solution.
    Methods: This is a monocentric pilot study taking place in Bangor, Wales, United Kingdom. We plan to enroll up to 100 adult survivors of cancer not receiving toxic anticancer treatment, who will provide self-reported behavioral data recorded via a dedicated app and validated questionnaires and objective data automatically collected by a paired smartwatch over 16 weeks. The participants will continue with their normal routine surveillance care for their cancer. The primary end point is feasibility (eg, mHealth monitoring acceptability). Composite secondary end points include clinically relevant patient-reported outcome measures (eg, the Edmonton Symptom Assessment System score) and objective physiological measures (eg, step counts). This trial received a favorable ethical review in May 2023 (Integrated Research Application System 301068).
    Results: This study is part of an array of pilots within a European Union funded project, entitled "GATEKEEPER," conducted at different sites across Europe and covering various chronic diseases. Study accrual is anticipated to commence in January 2024 and continue until June 2024. It is hypothesized that mHealth monitoring will be feasible in survivors of cancer; specifically, at least 50% (50/100) of the participants will engage with the app at least once a week in 8 of the 16 study weeks.
    Conclusions: In a population with potentially complex clinical needs, this pilot study will test the feasibility of multidimensional remote monitoring of patient-reported outcomes and physiological parameters. Satisfactory compliance with the use of the app and smartwatch, whether confirmed or infirmed through this study, will be propaedeutic to the development of innovative mHealth interventions in survivors of cancer.
    International registered report identifier (irrid): PRR1-10.2196/52957.
    MeSH term(s) Humans ; Pilot Projects ; Cancer Survivors ; Telemedicine/methods ; Male ; Female ; Adult ; Mobile Applications ; Middle Aged ; Neoplasms/therapy ; Wales ; Feasibility Studies ; Aged ; Observational Studies as Topic/methods
    Language English
    Publishing date 2024-04-30
    Publishing country Canada
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Observational Study
    ZDB-ID 2719222-2
    ISSN 1929-0748 ; 1929-0748
    ISSN (online) 1929-0748
    ISSN 1929-0748
    DOI 10.2196/52957
    Database MEDical Literature Analysis and Retrieval System OnLINE

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