 Markov Chains
"Markov Chains" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A stochastic process such that the conditional probability distribution for a state at any future instant, given the present state, is unaffected by any additional knowledge of the past history of the system.
| Descriptor ID |
D008390
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| MeSH Number(s) |
E05.318.740.600.500 E05.318.740.996.500 G17.830.500 N05.715.360.750.625.500 N05.715.360.750.770.500 N06.850.520.830.600.500 N06.850.520.830.996.500
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| Concept/Terms |
Markov Chains- Markov Chains
- Chains, Markov
- Markov Process
- Markov Processes
- Process, Markov
- Processes, Markov
- Markov Chain
- Chain, Markov
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Below are MeSH descriptors whose meaning is more general than "Markov Chains".
Below are MeSH descriptors whose meaning is more specific than "Markov Chains".
This graph shows the total number of publications written about "Markov Chains" by people in UAMS Profiles by year, and whether "Markov Chains" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2020 | 0 | 1 | 1 | | 2019 | 0 | 1 | 1 | | 2018 | 1 | 2 | 3 | | 2017 | 0 | 4 | 4 | | 2016 | 0 | 1 | 1 | | 2015 | 0 | 1 | 1 | | 2014 | 1 | 1 | 2 | | 2013 | 1 | 0 | 1 | | 2012 | 0 | 1 | 1 | | 2011 | 0 | 1 | 1 | | 2010 | 0 | 2 | 2 | | 2008 | 0 | 1 | 1 | | 2007 | 0 | 2 | 2 | | 1997 | 0 | 1 | 1 |
To return to the timeline, click here.
Below are the most recent publications written about "Markov Chains" by people in Profiles over the past ten years.
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Acharya M, Chopra D, Hayes CJ, Teeter B, Martin BC. Cost-Effectiveness of Intranasal Naloxone Distribution to High-Risk Prescription Opioid Users. Value Health. 2020 04; 23(4):451-460.
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Barnett CL, Davenport MS, Montgomery JS, Kunju LP, Denton BT, Piert M. 18F-Choline PET/mpMRI for Detection of Clinically Significant Prostate Cancer: Part 2. Cost-Effectiveness Analysis. J Nucl Med. 2019 12; 60(12):1705-1712.
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Barnett CL, Davenport MS, Montgomery JS, Wei JT, Montie JE, Denton BT. Cost-effectiveness of magnetic resonance imaging and targeted fusion biopsy for early detection of prostate cancer. BJU Int. 2018 07; 122(1):50-58.
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Steele JS, Bush K, Stowe ZN, James GA, Smitherman S, Kilts CD, Cisler J. Implicit emotion regulation in adolescent girls: An exploratory investigation of Hidden Markov Modeling and its neural correlates. PLoS One. 2018; 13(2):e0192318.
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Gupta P, Rettiganti M, Wilcox A, Vuong-Dac MA, Gossett JM, Imamura M, Chakraborty A. An Empirically Derived Pediatric Cardiac Inotrope Score Associated With Pediatric Heart Surgery. Semin Thorac Cardiovasc Surg. 2018; 30(1):62-68.
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Gupta P, Chakraborty A, Gossett JM, Rettiganti M. A prognostic tool to predict outcomes in children undergoing the Norwood operation. J Thorac Cardiovasc Surg. 2017 12; 154(6):2030-2037.e2.
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Rajan PV, Qudsi RA, Wolf LL, Losina E. Cost-Effectiveness Analyses in Orthopaedic Surgery: Raising the Bar. J Bone Joint Surg Am. 2017 07 05; 99(13):e71.
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Overley SC, McAnany SJ, Brochin RL, Kim JS, Merrill RK, Qureshi SA. The 5-year cost-effectiveness of two-level anterior cervical discectomy and fusion or cervical disc replacement: a Markov analysis. Spine J. 2018 01; 18(1):63-71.
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Zhang F, Flaherty P. Variational inference for rare variant detection in deep, heterogeneous next-generation sequencing data. BMC Bioinformatics. 2017 Jan 19; 18(1):45.
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Avis NE, Levine B, Marshall SA, Ip EH. Longitudinal Examination of Symptom Profiles Among Breast Cancer Survivors. J Pain Symptom Manage. 2017 04; 53(4):703-710.
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Usmani SZ, Cavenagh JD, Belch AR, Hulin C, Basu S, White D, Nooka A, Ervin-Haynes A, Yiu W, Nagarwala Y, Berger A, Pelligra CG, Guo S, Binder G, Gibson CJ, Facon T. Cost-effectiveness of lenalidomide plus dexamethasone vs. bortezomib plus melphalan and prednisone in transplant-ineligible U.S. patients with newly-diagnosed multiple myeloma. J Med Econ. 2016; 19(3):243-58.
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