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

Yıl: 2019 Cilt: 19 Sayı: 1 Sayfa Aralığı: 48 - 58 Metin Dili: İngilizce DOI: 10.26650/electrica.2018.081118 İndeks Tarihi: 05-12-2019

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

Öz:
Prediction models provide the probability of an event. These models can be used to predict disease’s outcomes, reccurencies after treatments. Thispaper presents an expert system called Symptom Based Clinical Decision Support Tool (SBCDST) for early diagnosis of erythemato-squamous diseasesincorporating decisions made by Bayesian classification algorithm. This tool enables family practitioners to differentiate four types of erythematosquamousdiseases using clinical parameters obtained from a patient. In SBCDST, Psoriasis, Seborrheic Dermatitis, Rosacea and Chronic dermatitisdiseases are described by means of well-classified set of attributes. Attributes are generated from the typical sign and symptoms of disorder. Based onour clinical results, tool yields 72%, 93%, 89% and 95% correct decisions on the selected dermatology diseases respectively. System proposed will providethe opportunity for early diagnosis for the patient and the expert medical doctor to take the necessary preventive measures to treat the disease; andavoid malpractice which may cause irreversible health damages.
Anahtar Kelime:

Konular: Mühendislik, Elektrik ve Elektronik
Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA ZAİM GÖKBAY İ, ZİLELİ Z, SARI P, AKSOY T, YARMAN S (2019). 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. , 48 - 58. 10.26650/electrica.2018.081118
Chicago ZAİM GÖKBAY İNCİ,ZİLELİ Zeynep Beyza,SARI Pelin,AKSOY Türker Togay,YARMAN Sıddık 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. (2019): 48 - 58. 10.26650/electrica.2018.081118
MLA ZAİM GÖKBAY İNCİ,ZİLELİ Zeynep Beyza,SARI Pelin,AKSOY Türker Togay,YARMAN Sıddık 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. , 2019, ss.48 - 58. 10.26650/electrica.2018.081118
AMA ZAİM GÖKBAY İ,ZİLELİ Z,SARI P,AKSOY T,YARMAN S 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. . 2019; 48 - 58. 10.26650/electrica.2018.081118
Vancouver ZAİM GÖKBAY İ,ZİLELİ Z,SARI P,AKSOY T,YARMAN S 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. . 2019; 48 - 58. 10.26650/electrica.2018.081118
IEEE ZAİM GÖKBAY İ,ZİLELİ Z,SARI P,AKSOY T,YARMAN S "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." , ss.48 - 58, 2019. 10.26650/electrica.2018.081118
ISNAD ZAİM GÖKBAY, İNCİ vd. "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". (2019), 48-58. https://doi.org/10.26650/electrica.2018.081118
APA ZAİM GÖKBAY İ, ZİLELİ Z, SARI P, AKSOY T, YARMAN S (2019). 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. Electrica, 19(1), 48 - 58. 10.26650/electrica.2018.081118
Chicago ZAİM GÖKBAY İNCİ,ZİLELİ Zeynep Beyza,SARI Pelin,AKSOY Türker Togay,YARMAN Sıddık 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. Electrica 19, no.1 (2019): 48 - 58. 10.26650/electrica.2018.081118
MLA ZAİM GÖKBAY İNCİ,ZİLELİ Zeynep Beyza,SARI Pelin,AKSOY Türker Togay,YARMAN Sıddık 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. Electrica, vol.19, no.1, 2019, ss.48 - 58. 10.26650/electrica.2018.081118
AMA ZAİM GÖKBAY İ,ZİLELİ Z,SARI P,AKSOY T,YARMAN S 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. Electrica. 2019; 19(1): 48 - 58. 10.26650/electrica.2018.081118
Vancouver ZAİM GÖKBAY İ,ZİLELİ Z,SARI P,AKSOY T,YARMAN S 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. Electrica. 2019; 19(1): 48 - 58. 10.26650/electrica.2018.081118
IEEE ZAİM GÖKBAY İ,ZİLELİ Z,SARI P,AKSOY T,YARMAN S "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." Electrica, 19, ss.48 - 58, 2019. 10.26650/electrica.2018.081118
ISNAD ZAİM GÖKBAY, İNCİ vd. "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". Electrica 19/1 (2019), 48-58. https://doi.org/10.26650/electrica.2018.081118