"Nomograms" 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.
Graphical representation of a statistical model containing scales for calculating the prognostic weight of a value for each individual variable. Nomograms are instruments that can be used to predict outcomes using specific clinical parameters. They use ALGORITHMS that incorporate several variables to calculate the predicted probability that a patient will achieve a particular clinical endpoint.
| Descriptor ID |
D049451
|
| MeSH Number(s) |
E01.789.650 E05.318.740.500.625 E05.599.835.895 G17.582 N05.715.360.750.530.530 N06.850.520.830.500.625
|
| Concept/Terms |
Partin Tables- Partin Tables
- Partin Table
- Table, Partin
- Tables, Partin
- Partin Nomograms
- Nomogram, Partin
- Nomograms, Partin
- Partin Nomogram
|
Below are MeSH descriptors whose meaning is more general than "Nomograms".
Below are MeSH descriptors whose meaning is more specific than "Nomograms".
This graph shows the total number of publications written about "Nomograms" by people in this website by year, and whether "Nomograms" 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 |
|---|
| 2007 | 1 | 0 | 1 |
| 2008 | 0 | 1 | 1 |
| 2009 | 1 | 0 | 1 |
| 2010 | 0 | 1 | 1 |
| 2011 | 1 | 0 | 1 |
| 2012 | 1 | 0 | 1 |
| 2013 | 1 | 0 | 1 |
| 2014 | 1 | 0 | 1 |
| 2015 | 1 | 0 | 1 |
| 2016 | 1 | 1 | 2 |
| 2017 | 14 | 9 | 23 |
| 2018 | 23 | 8 | 31 |
| 2019 | 7 | 6 | 13 |
| 2020 | 5 | 7 | 12 |
| 2021 | 8 | 3 | 11 |
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Below are the most recent publications written about "Nomograms" by people in Profiles.
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Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study. IEEE J Biomed Health Inform. 2021 11; 25(11):4110-4118.
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A nomogram prediction of outcome in patients with COVID-19 based on individual characteristics incorporating immune response-related indicators. J Med Virol. 2022 01; 94(1):131-140.
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An AI-based radiomics nomogram for disease prognosis in patients with COVID-19 pneumonia using initial CT images and clinical indicators. Int J Med Inform. 2021 10; 154:104545.
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A nomogram predicting severe COVID-19 based on a large study cohort from China. Am J Emerg Med. 2021 Dec; 50:218-223.
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Clinical features and death risk factors in COVID-19 patients with cancer: a retrospective study. BMC Infect Dis. 2021 Aug 05; 21(1):760.
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Two novel nomograms based on inflammatory cytokines or lymphocyte subsets to differentially diagnose severe or critical and Non-Severe COVID-19. Aging (Albany NY). 2021 07 19; 13(14):17961-17977.
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Risk factors and prediction nomogram model for psychosocial and behavioural problems among children and adolescents during the COVID-19 pandemic: A national multicentre study: Risk Factors of Childhood Psychosocial Problems. J Affect Disord. 2021 Nov 01; 294:128-136.
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The predicting roles of carcinoembryonic antigen and its underlying mechanism in the progression of coronavirus disease 2019. Crit Care. 2021 07 03; 25(1):234.
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A novel CT-based radiomics in the distinction of severity of coronavirus disease 2019 (COVID-19) pneumonia. BMC Infect Dis. 2021 Jun 25; 21(1):608.
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A Nomogram Prediction of Length of Hospital Stay in Patients with COVID-19 Pneumonia: A Retrospective Cohort Study. Dis Markers. 2021; 2021:5598824.