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Ischemic heart disease mortality rate estimation using hidden markov regression model
Date
2019-07-10
Author
Oflaz, Zarına
Kestel, Sevtap Ayşe
Yozgatlıgil, Ceylan
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https://hdl.handle.net/11511/82668
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Oflaz, Zarına; Yozgatlıgil, Ceylan; Kestel, Sevtap Ayşe (2019-07-10)
The precise estimation of mortality and morbidity tables is critical for optimal pricing of the life insurance and the health insurance products. Especially, unexpected high costs regarding the critical illnesses require understanding the factors in the likelihood of such an event. The number of occurrences of a certain illness in a population is an indication of its frequency. However, the characteristics of the illness alter the definition of the probability of an event. The data on such cases includes us...
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Background: Although many pathological changes have been associated with ischemic heart disease (IHD), molecular-level alterations specific to the ischemic myocardium and their potential to reflect disease severity or therapeutic outcome remain unclear. Currently, diagnosis occurs relatively late and evaluating disease severity is largely based on clinical symptoms, various imaging modalities, or the determination of risk factors. This study aims to identify IHD-associated signature RNAs from the atrial myo...
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Z. Oflaz, S. A. Kestel, and C. Yozgatlıgil, “Ischemic heart disease mortality rate estimation using hidden markov regression model,” 2019, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/82668.