EFFECTIVE FACTORS ON SURVIVAL TIME OF THE LEUKEMIC PATIENTS AND ESTIMATING THE MEAN OF SURVIVAL TIME BY EXPECTATION AND MAXIMIZATION ALGORITHM AND MONTE CARLO MARKOV CHAINS SIMULATION METHOD

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BAHRAMI MOHAMMAD; MOSHKANI M.R.; AALAM SAMIMI M.

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Journal: Journal of Isfahan Medical School Year:2007 | Volume:25 | Issue:84 Page(s): 49-57

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Title

EFFECTIVE FACTORS ON SURVIVAL TIME OF THE LEUKEMIC PATIENTS AND ESTIMATING THE MEAN OF SURVIVAL TIME BY EXPECTATION AND MAXIMIZATION ALGORITHM AND MONTE CARLO MARKOV CHAINS SIMULATION METHOD

Author(s)

BAHRAMI MOHAMMAD | MOSHKANI M.R. | AALAM SAMIMI M. | Issue Writer Certificate

Keywords

MAXIMUM LIKELIHOOD ESTIMATIONQ3

BAYESIAN ESTIMATIONQ3

BIMODALQ3

LEUKEMIAQ3

MIXTURE MODELSQ3

SURVIVAL MEANQ3

Abstract

Background: LEUKEMIA is a kind of malignancy blood system which leads to death of human beings in a very short period of time. In this paper, the effective factors on survival time of the acute lymphoblastic LEUKEMIA (ALL) patients have been considered to achieve a linear regression model show the relation between the life-time after diagnosis and some explanatory factors.Methods: In this study, the data of 52 patients died from ALL was used. The designed model contained three variables, hemoglobin, large undifferentiated cell (LUC) and age. According to the data suggesting, a kind of mixture distribution, we considered a mixture model for survival time. Applying the EM-algorithm, we have found the maximum likelihood estimate of mean survival time and the Bayesian estimate of the mean survival time by Monte Carlo Markov Chain method.Findings: Based on the obtained estimating survival function, we can predict the survival time of the patients and decide about their treatment protocol.Conclusion: It is suggested that by conducting larger studies and statistical analysis used in this paper, a correlative can be found between clinical & Para clinical findings and the survival time. This model can be used in often kinds of diseases for determining the prognosis.

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APA: Copy

BAHRAMI, MOHAMMAD, MOSHKANI, M.R., & AALAM SAMIMI, M.. (2007). EFFECTIVE FACTORS ON SURVIVAL TIME OF THE LEUKEMIC PATIENTS AND ESTIMATING THE MEAN OF SURVIVAL TIME BY EXPECTATION AND MAXIMIZATION ALGORITHM AND MONTE CARLO MARKOV CHAINS SIMULATION METHOD. JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S), 25(84), 49-57. SID. https://sid.ir/paper/50505/en

Vancouver: Copy

BAHRAMI MOHAMMAD, MOSHKANI M.R., AALAM SAMIMI M.. EFFECTIVE FACTORS ON SURVIVAL TIME OF THE LEUKEMIC PATIENTS AND ESTIMATING THE MEAN OF SURVIVAL TIME BY EXPECTATION AND MAXIMIZATION ALGORITHM AND MONTE CARLO MARKOV CHAINS SIMULATION METHOD. JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S)[Internet]. 2007;25(84):49-57. Available from: https://sid.ir/paper/50505/en

IEEE: Copy

MOHAMMAD BAHRAMI, M.R. MOSHKANI, and M. AALAM SAMIMI, “EFFECTIVE FACTORS ON SURVIVAL TIME OF THE LEUKEMIC PATIENTS AND ESTIMATING THE MEAN OF SURVIVAL TIME BY EXPECTATION AND MAXIMIZATION ALGORITHM AND MONTE CARLO MARKOV CHAINS SIMULATION METHOD,” JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S), vol. 25, no. 84, pp. 49–57, 2007, [Online]. Available: https://sid.ir/paper/50505/en

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