TY - GEN
T1 - Model-based diagnosis with FTTell
T2 - 12th SIGSAND/PLAIS EuroSymposium, 2019
AU - Levi-Soskin, Natali
AU - Shaoul, Ron
AU - Kohen, Hanan
AU - Jbara, Ahmad
AU - Dori, Dov
N1 - Funding Information:
The research in this paper was partially funded by the Gordon Center for Systems Engineering at the Technion, Israel Institute for Technology.
Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019
Y1 - 2019
N2 - Models have traditionally been mostly either prescriptive, expressing the function, structure and behavior of a system-to-be, or descriptive, specifying a system so it can be understood and analyzed. In this work, we offer a third kind—diagnostic models. We have built a model for assessing potential pediatric failure to thrive (FTT) during the perinatal stage. Although FTT is commonly found in young children and has been studied extensively, the exact etiology is often not clear. The ideal solution is for a pediatrician to input pertinent data and information in a single tool in order to obtain some assessment on the potential etiology. We present FTTell—an executable model-based medical knowledge aggregation and diagnosis tool, in which the qualitative considerations and quantitative parameters of the problem are modeled using a Methodical Approach to Executable Integrative Modeling (MAXIM)—an extended version of Object-Process Methodology (OPM) ISO 19450, focusing on the perinatal stage. The efficacy of the tool is demonstrated on three real-life cases, and the tool’s diagnosis outcomes may be compared with and critiqued by a domain expert.
AB - Models have traditionally been mostly either prescriptive, expressing the function, structure and behavior of a system-to-be, or descriptive, specifying a system so it can be understood and analyzed. In this work, we offer a third kind—diagnostic models. We have built a model for assessing potential pediatric failure to thrive (FTT) during the perinatal stage. Although FTT is commonly found in young children and has been studied extensively, the exact etiology is often not clear. The ideal solution is for a pediatrician to input pertinent data and information in a single tool in order to obtain some assessment on the potential etiology. We present FTTell—an executable model-based medical knowledge aggregation and diagnosis tool, in which the qualitative considerations and quantitative parameters of the problem are modeled using a Methodical Approach to Executable Integrative Modeling (MAXIM)—an extended version of Object-Process Methodology (OPM) ISO 19450, focusing on the perinatal stage. The efficacy of the tool is demonstrated on three real-life cases, and the tool’s diagnosis outcomes may be compared with and critiqued by a domain expert.
KW - Executable models
KW - Failure to thrive (FTT) potential
KW - Model-based diagnosis
KW - OPM ISO 19450
KW - Systems and software engineering
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U2 - 10.1007/978-3-030-29608-7_4
DO - 10.1007/978-3-030-29608-7_4
M3 - Conference contribution
AN - SCOPUS:85072832236
SN - 9783030296070
T3 - Lecture Notes in Business Information Processing
SP - 37
EP - 47
BT - Information Systems
A2 - Wrycza, Stanislaw
A2 - Maslankowski, Jacek
PB - Springer Verlag
Y2 - 19 September 2019 through 19 September 2019
ER -