A Personal Healthcare Knowledge Graph Framework for Diagnosis of Pelvic Masses Diseases

Ran Xin; Jia Chen; Feifei Bao; Yong Shang; Xu Han; Jingsong Li

doi:10.3233/SHTI231207

A Personal Healthcare Knowledge Graph Framework for Diagnosis of Pelvic Masses Diseases

Stud Health Technol Inform. 2024 Jan 25:310:1386-1387. doi: 10.3233/SHTI231207.

Authors

Ran Xin^{1

2}, Jia Chen², Feifei Bao², Yong Shang², Xu Han², Jingsong Li^{2

3}

Affiliations

¹ Polytechnic Institute, Zhejiang University, Hangzhou, China.
² Research Center for Healthcare Data Science, Zhejiang Laboratory, Hangzhou, China.
³ Engineering Research Center of EMR and Intelligent Expert Systems, Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.

PMID: 38269659
DOI: 10.3233/SHTI231207

Abstract

A Personal Health Knowledge Graph (PHKG) facilitates the efficient integration of potential diagnostic clues from patients' electronic health records with medical knowledge, establishing diagnostic reasoning paths and ensuring accurate, individually interpretable results in the diagnosis of pelvic masses.

Keywords: Personal health knowledge graph; interpretable reasoning; ontology; pelvic masses; quadruplet.

MeSH terms

Electronic Health Records*
Health Facilities
Humans
Knowledge
Pattern Recognition, Automated*
Problem Solving