PREDICTING OF LIVER DISEASE USING HIDDEN MARKOV MODEL

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MADADIZADEH FARZAN; MONTAZERI MITRA; BAHRAMPOUR ABBAS

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Journal: Razi Journal of Medical Sciences Year:2016 | Volume:23 | Issue:146 Page(s): 66-74

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Information Journal Paper

Title

PREDICTING OF LIVER DISEASE USING HIDDEN MARKOV MODEL

Author(s)

MADADIZADEH FARZAN | MONTAZERI MITRA | BAHRAMPOUR ABBAS | Issue Writer Certificate

Keywords

HIDDEN MARKOV MODELQ1

EM ALGORITHMQ1

LIVER DISEASEQ3

PREDICTIONQ2

Abstract

Background: The liver is the largest internal organ and the most important organ after heart and brain in the human body without which life is impossible. Diagnosis of LIVER DISEASE requires a long time and sufficient expertise of the doctor. Statistical methods can be classified as an automated forecasting system and help specialists for quickly and accurately diagnose LIVER DISEASE. HIDDEN MARKOV MODEL is an intelligent and robust statistical method that has been used in present study.Methods: The data used in this cross sectional study collected from records of patients with five different types of LIVER DISEASEs, including cirrhosis, liver cancer, acute hepatitis, chronic hepatitis, and fatty LIVER DISEASE. The patients have been admitted to Afzalipour hospital in Kerman, Iran, from 2006 to 2013. HIDDEN MARKOV MODEL using EM ALGORITHM for learning was fitted to the data and for evaluating the performance of the model, criteria as accuracy, sensitivity and specificity were used.Results: The decision, sensitivity, and specificity criteria of the model for diagnosis of each LIVER DISEASE were separately calculated and the highest level criteria in diagnosis of cirrhosis of the liver were 77% decision, 82% sensitivity, and 96% specificity, and also the lowest level of diagnosis for fatty LIVER DISEASE was 65% decision, 69% sensitivity and 94% specificity.Conclusion: The results of this study indicate the potential capabilities of the HIDDEN MARKOV MODEL. Therefore, using HIDDEN MARKOV MODEL for PREDICTION of diagnosis of LIVER DISEASE is recommended.

Cites

FORECASTING FREQUENCY OF DELIVERY USING POISSON HIDDEN MARKOV MODELS

References

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APA: Copy

MADADIZADEH, FARZAN, MONTAZERI, MITRA, & BAHRAMPOUR, ABBAS. (2016). PREDICTING OF LIVER DISEASE USING HIDDEN MARKOV MODEL. RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES), 23(146), 66-74. SID. https://sid.ir/paper/11110/en

Vancouver: Copy

MADADIZADEH FARZAN, MONTAZERI MITRA, BAHRAMPOUR ABBAS. PREDICTING OF LIVER DISEASE USING HIDDEN MARKOV MODEL. RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES)[Internet]. 2016;23(146):66-74. Available from: https://sid.ir/paper/11110/en

IEEE: Copy

FARZAN MADADIZADEH, MITRA MONTAZERI, and ABBAS BAHRAMPOUR, “PREDICTING OF LIVER DISEASE USING HIDDEN MARKOV MODEL,” RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES), vol. 23, no. 146, pp. 66–74, 2016, [Online]. Available: https://sid.ir/paper/11110/en

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