1.On the Use of Neural Networks for the Risk Factor Analysis of NIDDM.
Hye Sook SUH ; Jin Wook CHOI ; Hong Kyu LEE ; Byong Goo MIN
Journal of Korean Society of Medical Informatics 1998;4(2):127-131
There were many cases to apply artificial intelligence to medicine. Neural networks are nonparametric pattern recognition techniques that can be used to model complex relationships. In this paper, we present the analysis of the risk factors of the noninsulin-dependent diabetes mellitus using the artificial neural network and the logistic regression model. First, we developed five prediction models using artificial neural networks and a logistic regression model with the data of Yonchon study of diabetes mellitus. Next, we measured each area under the ROC(Receiver-Operating Characteristic) plots for the performance, and results re followings; multilayer perceptron with seventeen variables(MLP17) was 0.7608, multilayer perceptron with seven variables(MLP7) was 0.7664, radial basis function network with seventeen variables(RBF17) was 0.7919, radial basis function network with seven variables(RBF7) was 0.7715 and logistic regression model(REG7) was 0.8343. All of the variables used are seventeen, and seven variables for neural networks(MLP7 and RBF7) were selected by logistic regression model. The order of higher risk variables in the neural networks(slope) did not completely agree with that in the logistic regression model(odds ratio). However, all of the four higher risk variables that were significant in the statistic model(0.05) also had large slopes(0.3) in the neural network model. And our neural network model also display the influence of another variables in development of the noninsulin-dependent diabetes mellitus.
Artificial Intelligence
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Diabetes Mellitus
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Diabetes Mellitus, Type 2*
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Logistic Models
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Neural Networks (Computer)
;
Risk Factors*
2.A Case of metastatic lid carcionoma of stomach cancer.
Byeong Jin CHOI ; In Shup HWANG ; Kwang Hyun RYU ; Seok SI ; Hak Soo KIM ; Shin HAN ; Ju Young CHA ; So Yon KIM ; Min Goo CHO ; Byong Yik PARK
Korean Journal of Medicine 1998;54(4):572-576
Eyelid tumors, including metastatic lid tumors, present clinically as recurrent chalazia, multicentric nodules, ul cerated lesions, diffuse swelling, or chronic blepharocon juntivitis. Lid tumors consist of benign lesions(69%) and malignant lesions(31%). Basal cell carcinoma and squa mous cell carcinoma account for 92% of the malignant lesions. Metastatic lid disease was found to be of rare occurence, accounting for 0.1% of all lid lesions and 0.3% of malignant lid lesions. We report a case of metastatic lid carcinoma of sto mach cancer. A 60-year-old man developed a painless, slow-growing nodular lesion of his right lower eyelid. Excisional biopsy revealed metastatic undifferentiated ade nocarcinoma. We believe this is the first case in Korean literature.
Biopsy
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Carcinoma, Basal Cell
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Chalazion
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Eyelids
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Humans
;
Middle Aged
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Stomach Neoplasms*
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Stomach*