Journal of Medical Internet Research

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A Semantic Approach to Describe Social and Economic Characteristics That Impact Health Outcomes (Social Determinants of Health): Ontology Development Study

Originating from the philosophical domain and later incorporated into the computing and information sciences, ontologies represent and model our physical reality using semantics to describe domain entities (ie, knowledge base) [1]. These artifacts can be used to house vocabularies to generate inferences with the help of software reasoners such as Hermi T [2], ELK [3], and Fa CT++ [4].

Daniela Dally, Muhammad Amith, Rebecca L Mauldin, Latisha Thomas, Yifang Dang, Cui Tao

Online J Public Health Inform 2024;16:e52845

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Can OpenEHR, ISO 13606, and HL7 FHIR Work Together? An Agnostic Approach for the Selection and Application of Electronic Health Record Standards to the Next-Generation Health Data Spaces

In order to achieve a genuine use of EHR data, according to findable, accessible, interoperable, and reusable (FAIR) principles [3], it is necessary for information systems to overcome a number of shortcomings: (1) they are designed based on the generation of clinical reports where unstructured data predominates; (2) they embed the semantics of health domain concepts in the persistence data model; and (3) they do not apply health information standards or do so to a limited scope.

Miguel Pedrera-Jiménez, Noelia García-Barrio, Santiago Frid, David Moner, Diego Boscá-Tomás, Raimundo Lozano-Rubí, Dipak Kalra, Thomas Beale, Adolfo Muñoz-Carrero, Pablo Serrano-Balazote

J Med Internet Res 2023;25:e48702

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Multi-Label Classification in Patient-Doctor Dialogues With the RoBERTa-WWM-ext + CNN (Robustly Optimized Bidirectional Encoder Representations From Transformers Pretraining Approach With Whole Word Masking Extended Combining a Convolutional Neural Network) Model: Named Entity Study

We used Ro BERTa-WWM-ext to express sentence semantics as a text vector [18] and then extracted the local features of the sentence through the CNN, which was our new fusion model. Chinese Ro BERTa-WWM-ext is an open-source model from the Harbin Institute of Technology, which uses WWM combined with the Ro BERTa model [19,20]. We adapted a downstream architecture in Chinese Ro BERTa-WWM, which combines a text CNN [21].

Yuanyuan Sun, Dongping Gao, Xifeng Shen, Meiting Li, Jiale Nan, Weining Zhang

JMIR Med Inform 2022;10(4):e35606

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Building a Shared, Scalable, and Sustainable Source for the Problem-Oriented Medical Record: Developmental Study

Describing the semantics properly facilitates and speeds up the work of clinicians [23,24]. Semantic dimensions should support recognition and reconciliation algorithms and different views of the list, by specialty, organ, and severity, to name a few [25,26] or to support graph-based, symbolic, machine learning, or clustering algorithms to group concepts along a navigation that answers the needs of clinicians, case managers, researchers, etc [27].

Christophe Gaudet-Blavignac, Andrea Rudaz, Christian Lovis

JMIR Med Inform 2021;9(10):e29174

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An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-Concept Study

Reference 33: The modular SSN ontology: A joint W3C and OGC standard specifying the semantics of sensorssemantics

Ayan Chatterjee, Andreas Prinz, Martin Gerdes, Santiago Martinez

J Med Internet Res 2021;23(4):e24656

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Building a Semantic Health Data Warehouse in the Context of Clinical Trials: Development and Usability Study

As the SHDW was conceived to focus on semantics, many metadata inputs concentrate on selecting T&Os and concepts by the user from fields autocompleted to facilitate the selection. For instance, constraints 2 and 3 enable retrieval of CNs indexed with the different concepts referring to type 1 and 2 diabetes (Figure 4). Step 2 comprises aggregating the constraints defined in step 1 into a Boolean query.

Romain Lelong, Lina F Soualmia, Julien Grosjean, Mehdi Taalba, Stéfan J Darmoni

JMIR Med Inform 2019;7(4):e13917

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Sentiment Analysis of Social Media on Childhood Vaccination: Development of an Ontology

However, these methods are not sufficient for understanding the semantics of terms [21,22]. An ontology defining the meanings and inherent attributes of concepts, capturing relationships between them, and containing terms covering thesaurus, is required for social data analysis to solve this issue [21,23-25]. An ontology can help researchers understand the semantics of and the relationships between concepts when contextual knowledge is lacking.

Jeongah On, Hyeoun-Ae Park, Tae-Min Song

J Med Internet Res 2019;21(6):e13456

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