TY - GEN
T1 - Creating consistent diagnoses list for developmental disorders using UMLS
AU - Asbeh, Nuaman
AU - Peleg, Mor
AU - Schertz, Mitchell
AU - Kuflik, Tsvi
PY - 2006
Y1 - 2006
N2 - In the field of developmental disorders, there is no commonly accepted medical vocabulary. Vocabularies, such as ICD-10, are unsatisfying to clinicians, who try to create their own diagnostic lists. This results in inconsistency in the terms used in clinical practice. When attempting to apply automatic computational methods on patients' data, the need for common consistent diagnoses list arises. To this end, we mapped a set of different diagnoses used in clinical practice to UMLS - a well-known Unified Medical Language System that organizes and unifies over 100 vocabularies. Diagnoses that were defined by different terms and were mapped to one concept at UMLS were joined as synonyms. Concepts that were not found at UMLS were mapped to the closest concept found. We found that SNOMED-CT is the most comprehensive vocabulary (85.7% term coverage) in UMLS. We propose a framework that, when applied on inconsistent manually constructed set of diagnoses, leads to minimal and consistent set of diagnostic terms.
AB - In the field of developmental disorders, there is no commonly accepted medical vocabulary. Vocabularies, such as ICD-10, are unsatisfying to clinicians, who try to create their own diagnostic lists. This results in inconsistency in the terms used in clinical practice. When attempting to apply automatic computational methods on patients' data, the need for common consistent diagnoses list arises. To this end, we mapped a set of different diagnoses used in clinical practice to UMLS - a well-known Unified Medical Language System that organizes and unifies over 100 vocabularies. Diagnoses that were defined by different terms and were mapped to one concept at UMLS were joined as synonyms. Concepts that were not found at UMLS were mapped to the closest concept found. We found that SNOMED-CT is the most comprehensive vocabulary (85.7% term coverage) in UMLS. We propose a framework that, when applied on inconsistent manually constructed set of diagnoses, leads to minimal and consistent set of diagnostic terms.
UR - http://www.scopus.com/inward/record.url?scp=33746941305&partnerID=8YFLogxK
U2 - 10.1007/11780991_29
DO - 10.1007/11780991_29
M3 - Conference contribution
AN - SCOPUS:33746941305
SN - 3540354727
SN - 9783540354727
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 333
EP - 336
BT - Next Generation Information Technologies and Systems - 6th International Conference, NGITS 2006, Proceedings
PB - Springer Verlag
T2 - 6th International Conference on Next Generation Information Technologies and Systems, NGITS 2006
Y2 - 4 July 2006 through 6 July 2006
ER -