表 2. Ontology-based clinical decision support systems for diabetes treatment.
基于本体的糖尿病治疗的临床决策支持系统
| Author (Date) | Purpose | Associated ontology and rules | User interface | Users | Input | Inference engine | Output | Time dimension | Integrate with EHR | Evaluation |
| NICE: the national institute for health and care excellence; OMDP: ontology-based model for diabetic patients; EHR: electronic health record; HL7: health level 7; FHIR: fast healthcare interoperability resources; FASTO: FHIR and SSN-based T1D ontology; DMTO: diabetes mellitus treatment ontology; DDO: diabetes mellitus diagnosis ontology; SWRL: semantic web rule language; OWL: web ontology language; JESS: Java expert system shell. | ||||||||||
| SHERIMON P C (2020)[50] | Treatment | Ontology based NICE guideline SWRLrules | A graphical communication interface | Patient Healthcare providers | Systeminterface Java engine | SPARQL Pellet | Treatment plans based on risk score | Present and historical | Not capable | Not |
| CHEN L (2019)[34] | Prognosis Diagnosis Treatment | OMDP | A graphical communication interface EHR | Patient EHR | Patient profile D2RQ | Pellet | Treatment plans (medication, diet, exercise, education) | Present and historical | Capable | 766 patients with clinical profiles |
| El-SAPPAGH S (2019)[46] | Treatment for type 1 diabetes | FASTO | Remote sensor A graphical communication interface EHR | Patient Sensor Multiple EHR | Patient profile FHIR D2RQ | SPARQL Pellet | Treatment plans (medication, diet, exercise, education) | Present and historical Real-time sensor | Capable | A patient with clinical profiles |
| El-SAPPAGH S (2018)[36] | Treatment | DMTO | EHR | EHR | Patient profile | SPARQL/SQWRL DL queries Hermit/Pellet FaCT++ | Treatment plans (medication, diet, exercise, education) | Present and historical | Capable | Not |
| CHEN (2016)[51] | Determining the ranking of antidiabetic medications | Drug knowledge ontology Fuzzy rules Jenarules | A graphical communication interface | Doctor | Systeminterface Java engine | Fuzzy Jena TOPSISalgorithm | The target for HbA1c The ranking of antidiabetic medications | Present and historical | Not capable | 10 patients with clinical profiles |
| IRS-T2D (2016)[52] | Treatment | Ontology for antidiabetic drugs Ontology for patient profile SWRL rules | A graphical communication interface | Doctor | Systeminterface Ontology for patient profile | JESS | Treatment plans | Present | Not capable | 30 patients with clinical profiles |
| OntoDiabetic (2015)[53] | Assessing risk factors and treatment | Domain ontology Process ontology Patient ontology | A graphical communication interface | Patient Healthcare provider | Systeminterface Java engine OWL modeler | Pellet Hermit | Treatment plans | Present | Not capable | Data from community |
| CHEN R C (2012)[54] | Antidiabetic medications selection | Ontology for antidiabetic drugs Ontology for patient profile SWRL rules | A graphical communication interface | Doctor | Systeminterface Java engine Ontology for patient profile | JESS Pellet | Treatment plans for medications | Present | Not capable | 20 patients with clinical profiles |