ArticleJournal of biomedical semantics2016
TrhOnt: building an ontology to assist rehabilitation processes.
Article in Journal of biomedical semantics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Content and quality of physical activity ontologies: a systematic review.The international journal of behavioral nutrition and physical activity · 2023Pooled it
- Using clinical reasoning ontologies to make smarter clinical decision support systems: a systematic review and data synthesis.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- eDEM-CONNECT: agitation ontology for the intelligent support of informal caregivers of people with dementia.Frontiers in aging · 2026Article
- An Ontology-Based Approach for Understanding Appendicectomy Processes and Associated Resources.Healthcare (Basel, Switzerland) · 2024Article
- OnTARi: an ontology for factors influencing therapy adherence to rehabilitation.BMC medical informatics and decision making · 2021Article
- Developing an ontology for representing the domain knowledge specific to non-pharmacological treatment for agitation in dementia.Alzheimer's & dementia (New York, N. Y.) · 2020Article
- A Telerehabilitation System for the Selection, Evaluation and Remote Management of Therapies.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOne of the current research efforts in the area of biomedicine is the representation of knowledge in a structured way so that reasoning can be performed on it. More precisely, in the field of physiotherapy, information such as the physiotherapy record of a patient or treatment protocols for specific disorders must be adequately modeled, because they play a relevant role in the management of the evolutionary recovery process of a patient. In this scenario, we introduce TRHONT, an application ontology that can assist physiotherapists in the management of the patients' evolution via reasoning supported by semantic technology.
methodsThe ontology was developed following the NeOn Methodology. It integrates knowledge from ontological (e.g. FMA ontology) and non-ontological resources (e.g. a database of movements, exercises and treatment protocols) as well as additional physiotherapy-related knowledge.
resultsWe demonstrate how the ontology fulfills the purpose of providing a reference model for the representation of the physiotherapy-related information that is needed for the whole physiotherapy treatment of patients, since they step for the first time into the physiotherapist's office, until they are discharged. More specifically, we present the results for each of the intended uses of the ontology listed in the document that specifies its requirements, and show how TRHONT can answer the competency questions defined within that document. Moreover, we detail the main steps of the process followed to build the TRHONT ontology in order to facilitate its reproducibility in a similar context. Finally, we show an evaluation of the ontology from different perspectives.
conclusionsTRHONT has achieved the purpose of allowing for a reasoning process that changes over time according to the patient's state and performance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.