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Year Number of Results
1945 1
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1953 8
1954 10
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1956 11
1957 12
1958 12
1959 12
1960 15
1961 11
1962 10
1963 12
1964 20
1965 20
1966 29
1967 24
1968 31
1969 28
1970 29
1971 29
1972 26
1973 41
1974 38
1975 61
1976 46
1977 47
1978 44
1979 49
1980 52
1981 48
1982 66
1983 64
1984 65
1985 47
1986 68
1987 79
1988 94
1989 115
1990 110
1991 99
1992 105
1993 137
1994 158
1995 165
1996 226
1997 244
1998 248
1999 326
2000 443
2001 429
2002 494
2003 550
2004 721
2005 839
2006 985
2007 1140
2008 1243
2009 1460
2010 1542
2011 1528
2012 1653
2013 1890
2014 1932
2015 2014
2016 2056
2017 2095
2018 2137
2019 2199
2020 2427
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The following term was not found in PubMed: Denislav
Page 1
Markov models in medical decision making: a practical guide.
Sonnenberg FA, Beck JR. Sonnenberg FA, et al. Med Decis Making. 1993 Oct-Dec;13(4):322-38. doi: 10.1177/0272989X9301300409. Med Decis Making. 1993. PMID: 8246705
Representing such clinical settings with conventional decision trees is difficult and may require unrealistic simplifying assumptions. Markov models assume that a patient is always in one of a finite number of discrete health states, called Markov states. ...A newer …
Representing such clinical settings with conventional decision trees is difficult and may require unrealistic simplifying assumptions. Ma …
Markov genealogy processes.
King AA, Lin Q, Ionides EL. King AA, et al. Theor Popul Biol. 2022 Feb;143:77-91. doi: 10.1016/j.tpb.2021.11.003. Epub 2021 Dec 9. Theor Popul Biol. 2022. PMID: 34896438 Free PMC article.
We construct a family of genealogy-valued Markov processes that are induced by a continuous-time Markov population process. ...
We construct a family of genealogy-valued Markov processes that are induced by a continuous-time Markov population process. .. …
Markov models-Markov chains.
Grewal JK, Krzywinski M, Altman N. Grewal JK, et al. Nat Methods. 2019 Aug;16(8):663-664. doi: 10.1038/s41592-019-0476-x. Nat Methods. 2019. PMID: 31363204 No abstract available.
Quantum Markov Order.
Taranto P, Pollock FA, Milz S, Tomamichel M, Modi K. Taranto P, et al. Phys Rev Lett. 2019 Apr 12;122(14):140401. doi: 10.1103/PhysRevLett.122.140401. Phys Rev Lett. 2019. PMID: 31050460
We formally extend the notion of Markov order to open quantum processes by accounting for the instruments used to probe the system of interest at different times. ...We then prove that there do not exist non-Markovian quantum processes that have finite Markov order …
We formally extend the notion of Markov order to open quantum processes by accounting for the instruments used to probe the system of …
Semi-Markov Arnason-Schwarz models.
King R, Langrock R. King R, et al. Biometrics. 2016 Jun;72(2):619-28. doi: 10.1111/biom.12446. Epub 2015 Nov 19. Biometrics. 2016. PMID: 26584064
However, low-order Markov models may not accurately represent the underlying biology. ...A state expansion technique is applied in order to represent the resulting semi-Markov Arnason-Schwarz model in terms of a simpler and computationally tractable hidden Markov …
However, low-order Markov models may not accurately represent the underlying biology. ...A state expansion technique is applied in or …
Markov modeling for the neurosurgeon: a review of the literature and an introduction to cost-effectiveness research.
Wali AR, Brandel MG, Santiago-Dieppa DR, Rennert RC, Steinberg JA, Hirshman BR, Murphy JD, Khalessi AA. Wali AR, et al. Neurosurg Focus. 2018 May;44(5):E20. doi: 10.3171/2018.2.FOCUS17805. Neurosurg Focus. 2018. PMID: 29712528 Review.
OBJECTIVE Markov modeling is a clinical research technique that allows competing medical strategies to be mathematically assessed in order to identify the optimal allocation of health care resources. ...RESULTS A total of 55 articles utilizing Markov models were ide …
OBJECTIVE Markov modeling is a clinical research technique that allows competing medical strategies to be mathematically assessed in …
Markov models for the elucidation of allosteric regulation.
Sengupta U, Strodel B. Sengupta U, et al. Philos Trans R Soc Lond B Biol Sci. 2018 Jun 19;373(1749):20170178. doi: 10.1098/rstb.2017.0178. Philos Trans R Soc Lond B Biol Sci. 2018. PMID: 29735732 Free PMC article. Review.
We provide a short introduction to the theory of Markov state models and review their application to various examples of protein allostery studied by MD simulations. We also include a discussion of studies where Markov modelling has been employed to analyse experime …
We provide a short introduction to the theory of Markov state models and review their application to various examples of protein allo …
Exchangeable Markov multi-state survival processes.
Dempsey W. Dempsey W. Stat Sin. 2021 Oct;31(4):1807-1828. doi: 10.5705/ss.202018.0403. Stat Sin. 2021. PMID: 34707337 Free PMC article.
Here, an extension leads to recurrent event processes. We characterize exchangeable Markov multi-state survival processes in both discrete and continuous time. ...We end with an application to irregularly sampled and potentially censored multi-state survival data, developi …
Here, an extension leads to recurrent event processes. We characterize exchangeable Markov multi-state survival processes in both dis …
Inference for transition probabilities in non-Markov multi-state models.
Andersen PK, Wandall ENS, Pohar Perme M. Andersen PK, et al. Lifetime Data Anal. 2022 Oct;28(4):585-604. doi: 10.1007/s10985-022-09560-w. Epub 2022 Jun 28. Lifetime Data Anal. 2022. PMID: 35764854 Review.
A convenient modeling assumption is that the multi-state stochastic process is Markovian, in which case a number of methods are available when doing inference for both transition intensities and transition probabilities. The Markov assumption, however, is quite strict and …
A convenient modeling assumption is that the multi-state stochastic process is Markovian, in which case a number of methods are available wh …
The Markov blankets of life: autonomy, active inference and the free energy principle.
Kirchhoff M, Parr T, Palacios E, Friston K, Kiverstein J. Kirchhoff M, et al. J R Soc Interface. 2018 Jan;15(138):20170792. doi: 10.1098/rsif.2017.0792. J R Soc Interface. 2018. PMID: 29343629 Free PMC article. Review.
A Markov blanket defines the boundaries of a system in a statistical sense. ...In other words, autonomous systems are hierarchically composed of Markov blankets of Markov blankets-all the way down to individual cells, all the way up to you and me, and all the …
A Markov blanket defines the boundaries of a system in a statistical sense. ...In other words, autonomous systems are hierarchically …
37,168 results
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