Onto-clust-A methodology for combining clustering analysis and ontological methods for identifying groups of comorbidities for developmental disorders

Mor Peleg, Nuaman Asbeh, Tsvi Kuflik, Mitchell Schertz

Research output: Contribution to journalArticlepeer-review

Abstract

Children with developmental disorders usually exhibit multiple developmental problems (comorbidities). Hence, such diagnosis needs to revolve on developmental disorder groups. Our objective is to systematically identify developmental disorder groups and represent them in an ontology. We developed a methodology that combines two methods (1) a literature-based ontology that we created, which represents developmental disorders and potential developmental disorder groups, and (2) clustering for detecting comorbid developmental disorders in patient data. The ontology is used to interpret and improve clustering results and the clustering results are used to validate the ontology and suggest directions for its development. We evaluated our methodology by applying it to data of 1175 patients from a child development clinic. We demonstrated that the ontology improves clustering results, bringing them closer to an expert generated gold-standard. We have shown that our methodology successfully combines an ontology with a clustering method to support systematic identification and representation of developmental disorder groups.

Original languageEnglish
Pages (from-to)165-175
Number of pages11
JournalJournal of Biomedical Informatics
Volume42
Issue number1
DOIs
StatePublished - Feb 2009

Bibliographical note

Funding Information:
Supported in part by Caesarea Rothschild Foundation Institute for Interdisciplinary Applications of Computer-Science, Haifa University. The authors thank Dr. Lidia Gabis and Rubi Tamir for making this work possible and Dr. Luba Zuk for her part in the literature review on DCD. We thank the anonymous reviewers for their insightful comments that helped us to improve the paper, including its focus and structure.

Keywords

  • Clustering
  • Comorbidity
  • Developmental disorders
  • Ontology

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications

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