An intelligent healthcare monitoring framework using wearable sensors and social networking data
Wearable sensors and social networking platforms play a key role in providing a new
method to collect patient data for efficient healthcare monitoring. However, continuous …
method to collect patient data for efficient healthcare monitoring. However, continuous …
Using clinical reasoning ontologies to make smarter clinical decision support systems: a systematic review and data synthesis
PI Dissanayake, TK Colicchio… - Journal of the American …, 2020 - academic.oup.com
Objective The study sought to describe the literature describing clinical reasoning ontology
(CRO)–based clinical decision support systems (CDSSs) and identify and classify the …
(CRO)–based clinical decision support systems (CDSSs) and identify and classify the …
[HTML][HTML] Healthcare applications of artificial intelligence and analytics: a review and proposed framework
Healthcare is considered as one of the most promising application areas for artificial
intelligence and analytics (AIA) just after the emergence of the latter. AI combined to …
intelligence and analytics (AIA) just after the emergence of the latter. AI combined to …
A personalized recommendation system to support diabetes self-management for American Indians
The epidemic of diabetes in American Indian (AI) communities is a serious public health
challenge. The incidence and prevalence of diabetes have increased dramatically with …
challenge. The incidence and prevalence of diabetes have increased dramatically with …
[HTML][HTML] SNOMED CT standard ontology based on the ontology for general medical science
Abstract Background Systematized Nomenclature of Medicine—Clinical Terms (SNOMED
CT, hereafter abbreviated SCT) is a comprehensive medical terminology used for …
CT, hereafter abbreviated SCT) is a comprehensive medical terminology used for …
[HTML][HTML] A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard
Background Mobile health (MH) technologies including clinical decision support systems
(CDSS) provide an efficient method for patient monitoring and treatment. A mobile CDSS is …
(CDSS) provide an efficient method for patient monitoring and treatment. A mobile CDSS is …
[HTML][HTML] Ontology-based decision support systems for diabetes nutrition therapy: A systematic literature review
D Spoladore, M Tosi, EC Lorenzini - Artificial Intelligence in Medicine, 2024 - Elsevier
Diabetes is a non-communicable disease that has reached epidemic proportions, affecting
537 million people globally. Artificial Intelligence can support patients or clinicians in …
537 million people globally. Artificial Intelligence can support patients or clinicians in …
Mobile health technologies for diabetes mellitus: current state and future challenges
The prevalence of diabetes is rising globally. Diabetes patients need continuous monitoring,
and to achieve this objective, they have to be engaged in their healthcare management …
and to achieve this objective, they have to be engaged in their healthcare management …
[HTML][HTML] OntoPharma: ontology based clinical decision support system to reduce medication prescribing errors
E Calvo-Cidoncha, C Camacho-Hernando… - BMC Medical Informatics …, 2022 - Springer
Background Clinical decision support systems (CDSS) have been shown to reduce
medication errors. However, they are underused because of different challenges. One …
medication errors. However, they are underused because of different challenges. One …
[HTML][HTML] Ontology-based nutritional recommender system
D Mckensy-Sambola, MÁ Rodríguez-García… - Applied Sciences, 2021 - mdpi.com
Obesity is considered an epidemic that is continuously growing around the world. Heart
diseases, diabetes, and bone and joint diseases are some of the diseases that people who …
diseases, diabetes, and bone and joint diseases are some of the diseases that people who …