TY  - JOUR
T1  - A Linear Stochastic System Approach to Model Symptom Based Clinical Decision Support Tool for the Early Diagnosis for Psoriasis, Seborrheic Dermatitis, Rosacea and Chronic Dermatitis
AU  - Zaim Gökbay, İnci
AU  - Zileli, Zeynep Beyza
AU  - Sarı, Pelin
AU  - Aksoy, Türker Togay
AU  - Yarman, Sıddık
PY  - 2019
DA  - January
JF  - Electrica
PB  - İstanbul University-Cerrahpasa
WT  - DergiPark
SN  - 2619-9831
SP  - 48
EP  - 58
VL  - 19
IS  - 1
LA  - en
AB  - DOI: 10.26650/electrica.2018.081118Prediction models provide the probability ofan event. These models can be used to predict disease’s outcomes, reccurenciesafter treatments. This paper presents an expert system called Symptom BasedClinical Decision Support Tool (SBCDST) for early diagnosis oferythemato-squamous diseases incorporating decisions made by Bayesianclassification algorithm. This tool enables family practitioners todifferentiate four types of erythemato-squamous diseases using clinicalparameters obtained from a patient. In SBCDST, Psoriasis, SeborrheicDermatitis, Rosacea and Chronic dermatitis diseases are described by means ofwell-classified set of attributes. Attributes are generated from the typicalsign and symptoms of disorder. Based on our clinical results, tool yields 72%,93%, 89% and 95% correct decisions on the selected dermatology diseasesrespectively. System proposed will provide the opportunity for early diagnosisfor the patient and the expert medical doctor to take the necessary preventivemeasures to treat the disease; and avoid malpractice which may causeirreversible health damages.Cite this article as: Zaim Gökbay İ, ZileliZB, Sarı P, Aksoy TT, Yarman S. A Linear Stochastic System Approach to ModelSymptom Based Clinical Decision Support Tool for the Early Diagnosis forPsoriasis, Seborrheic Dermatitis, Rosacea and Chronic Dermatitis. Electrica,2019; 19(1): 48-58.
KW  - Clinical Decision Support Systems (CDSS)
KW  - linear stochastic model
KW  - psoriasis
KW  - seborrheic dermatitis
KW  - rosacea and chronic dermatitis
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UR  - https://dergipark.org.tr/en/pub/electrica/issue//413220
L1  - https://dergipark.org.tr/en/download/article-file/642957
ER  -