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Journal articles on the topic 'Criteria for classification'

Author: Grafiati
Published: 3 August 2021
Last updated: 2 February 2022

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1

Katz, Jeffrey N., and Matthew H. Liang. "Classification Criteria Revisited." Arthritis & Rheumatism 34, no. 10 (October 10, 1991): 1228–30. http://dx.doi.org/10.1002/art.1780341004.

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2

Mahr, Alfred, and Mathilde de Menthon. "Classification and classification criteria for vasculitis." Current Opinion in Rheumatology 27, no. 1 (January 2015): 1–9. http://dx.doi.org/10.1097/bor.0000000000000134.

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3

Akgul, Ozgur. "Classification criteria for spondyloarthropathies." World Journal of Orthopedics 2, no. 12 (2011): 107. http://dx.doi.org/10.5312/wjo.v2.i12.07.

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Akgul, Ozgur, and Salih Ozgocmen. "Classification criteria for spondyloarthropathies." World Journal of Orthopedics 2, no. 12 (2011): 107. http://dx.doi.org/10.5312/wjo.v2.i12.107.

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5

Xavier Pi-Sunyer, F. "Obesity: criteria and classification." Proceedings of the Nutrition Society 59, no. 4 (November 2000): 505–9. http://dx.doi.org/10.1017/s0029665100000732.

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Obesity is defined as an excess accumulation of body fat. To measure fat in the body accurately is difficult, and no method is easily available for routine clinical use. Traditionally, overweight and obesity have been evaluated by anthropometric measurement of weight-for-height. More recently, BMI has been used. The normal range is 19–24·9 kg/m2, overweight is 25–29·9 kg/m2, and obesity ≥ 30 kg/m2. Not only is the total amount of fat an individual carries important, but also where the fat is distributed in the body. Fat in a central or upper body (android) distribution is most related to health risk. The most accurate way to measure central obesity is by magnetic resonance imaging or computer-assisted tomography scanning, but this approach is too expensive for routine use. Simple anthropometric measurements can be used, such as waist circumference. A waist circumference of greater than 1020 mm in men and 880 mm in women is a risk factor for insulin resistance, diabetes mellitus and cardiovascular disease. There is a clear genetic predisposition for obesity. The genetic contribution to obesity is between 25 and 40 % of the individual differences in BMI. For the overwhelming majority of individuals, the genetic predisposition will not be defined by one gene, but by multiple genes. Eventually, classification of obesity may be done by genetic means, but this approach will require more knowledge.
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Choromanska, Anna, and Ish Kumar Jain. "Extreme Multiclass Classification Criteria." Computation 7, no. 1 (March 12, 2019): 16. http://dx.doi.org/10.3390/computation7010016.

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We analyze the theoretical properties of the recently proposed objective function for efficient online construction and training of multiclass classification trees in the settings where the label space is very large. We show the important properties of this objective and provide a complete proof that maximizing it simultaneously encourages balanced trees and improves the purity of the class distributions at subsequent levels in the tree. We further explore its connection to the three well-known entropy-based decision tree criteria, i.e., Shannon entropy, Gini-entropy and its modified variant, for which efficient optimization strategies are largely unknown in the extreme multiclass setting. We show theoretically that this objective can be viewed as a surrogate function for all of these entropy criteria and that maximizing it indirectly optimizes them as well. We derive boosting guarantees and obtain a closed-form expression for the number of iterations needed to reduce the considered entropy criteria below an arbitrary threshold. The obtained theorem relies on a weak hypothesis assumption that directly depends on the considered objective function. Finally, we prove that optimizing the objective directly reduces the multi-class classification error of the decision tree.
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7

Stenholm, Björn. "Classification Criteria and Databases." Symposium - International Astronomical Union 155 (1993): 11–17. http://dx.doi.org/10.1017/s007418090016992x.

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In this review lecture the increase of fundamental data for planetary nebulae is shortly reflected. Special attention is given to the new general catalogue of galactic planetary nebulae, and selection criteria for the entries are summarised. Some information on planetary nebula data in the Magellanic Clouds is also given.
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8

Leekwijck, Werner Van, and Etienne E. Kerre. "Defuzzification: criteria and classification." Fuzzy Sets and Systems 108, no. 2 (December 1999): 159–78. http://dx.doi.org/10.1016/s0165-0114(97)00337-0.

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9

Dubreuil, Maureen, and Atul A. Deodhar. "Axial spondyloarthritis classification criteria." Current Opinion in Rheumatology 29, no. 4 (July 2017): 317–22. http://dx.doi.org/10.1097/bor.0000000000000402.

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10

Ulucan, Aydin, and Kazim Baris Atici. "A MULTIPLE CRITERIA SORTING METHODOLOGY WITH MULTIPLE CLASSIFI CATION CRITERIA AND AN APPLICATION TO COUNTRY RISK EVALUATION." Technological and Economic Development of Economy 19, no. 1 (April 2, 2013): 93–124. http://dx.doi.org/10.3846/20294913.2012.763070.

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In this paper, we propose an extension of the standard UTADIS methodology, an approach that originates from multicriteria decision aid (MCDA) for sorting problems, such that it can handle more than one classification criteria simultaneously which possibly involves different predefined classes for alternatives. Moreover, we test the classification ability of the standard UTADIS methodology using the out-of-classification criterion approach, a new variant of the studies comprising out-of-time and out-of-sample testing methodologies. Results obtained in out-of-classification criterion testing are then compared with the classification ability of the Multiple Classification Criteria UTADIS (MCC UTADIS). Finally, an application to country risk evaluation is performed. In this application, classifications of two credit rating agencies, Standard & Poor's and Moody's, are taken as two different classification criteria. Moreover, robustness of MCC UTADIS method is tested through using several data sets. Results indicate that MCC UTADIS involving more than one classification criteria performs very close to standard UTADIS with single classification criterion and performs better than the out-of-classification criterion tests. These results emphasize both the sensitivity of UTADIS models to the classification criteria and the importance of using a multiple classification criteria approach.
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11

Keler, Anna Ivanovna. "The genre of prayer: classification criteria." Филология: научные исследования, no. 7 (July 2021): 29–38. http://dx.doi.org/10.7256/2454-0749.2021.7.36072.

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The religious functional style is currently being actively studied not only in theology, but also in philology. On the one hand, this fact is substantiated by the change in the sociopolitical situation in Russia, while on the other –by the need for scientific comprehension and description of the experience of religious communication implemented in particular genres. Prayer is one of the genres of religious functional style, which are referred to as basic or representative. Both in literary studies and linguistics, prayer is viewed from the perspective of different approaches; therefore, the researchers offer various classifications for the genre of prayer. The subject of this research is a prayer as the religious genre. Analysis is conducted on the existing classifications of prayer based on the material of Christian prayers, and generalizes them for the purpose of deriving general classification and its further application to the corpus of prayer texts created within the framework of the New Apostolic teaching. As a result of the conducted research, the author provides a summary table, which indicates seven criteria for the classification of prayers: position of the addressee (type and number of addressees); type of addressee; method or form of saying the prayer; formal-substantive rigidity of the text; leading intention / content / key function of the prayer and their number; place of creating the text; time of creating the text. The article also presents an example of application the summary theoretical data to particular material—a corpus of 220 prayers created by New Apostolic parishioners, and records of the prayerful life of the Christians from the catechesis of the New Apostolic Church.
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12

Tarasenko, S. V., T. S. Rakhmaev, O. D. Peskov, A. A. Kopeikin, O. V. Zaytsev, S. N. Sokolova, I. V. Bakonina, A. A. Natalskiy, A. Y. Bogomolov, and O. A. Kadykova. "Classification criteria of chronic pancreatitis." I.P.Pavlov Russian Medical Biological Herald 24, no. 1 (December 15, 2016): 91. http://dx.doi.org/10.17816/pavlovj2016191-97.

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13

Saraux, A., P. Youinou, and P. Le Goff'. "Classification Criteria for Rheumatoid Arthritis." Scandinavian Journal of Rheumatology 26, no. 3 (January 1997): 229. http://dx.doi.org/10.3109/03009749709065689.

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14

Hayward, Rhys J., and Pedro M. Machado. "Classification Criteria in Axial Spondyloarthritis." Rheumatic Disease Clinics of North America 46, no. 2 (May 2020): 259–74. http://dx.doi.org/10.1016/j.rdc.2020.01.008.

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15

Luyten, F. "Early osteoarthritits: towards classification criteria." Osteoarthritis and Cartilage 24 (April 2016): S2. http://dx.doi.org/10.1016/j.joca.2016.01.019.

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16

MacGregor, Alexander J. "Classification criteria for rheumatoid arthritis." Baillière's Clinical Rheumatology 9, no. 2 (May 1995): 287–304. http://dx.doi.org/10.1016/s0950-3579(05)80191-8.

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17

Vitali, C. "Classification criteria for Sjogren's syndrome." Annals of the Rheumatic Diseases 62, no. 1 (January 1, 2003): 94–95. http://dx.doi.org/10.1136/ard.62.1.94.

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18

Vlasyuk, Lyudmila, and Olga Dyomina. "Productive Regions: Criteria and Classification." Spatial Economics 1, no. 29 (2012): 29–42. http://dx.doi.org/10.14530/se.2012.1.029-042.

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19

Wilson, Wendell A. "CLASSIFICATION CRITERIA FOR ANTIPHOSPHOLIPID SYNDROME." Rheumatic Disease Clinics of North America 27, no. 3 (August 2001): 499–505. http://dx.doi.org/10.1016/s0889-857x(05)70216-7.

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20

Vinogradova, A. A. "INTERPARLIAMENTARY INSTITUTIONS: CRITERIA AND CLASSIFICATION." Comparative Politics (Russia) 2, no. 4(6) (July 13, 2015): 3. http://dx.doi.org/10.18611/2221-3279-2011-2-4(6)-3-12.

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21

Baldini, Chiara, Francesco Ferro, and Stefano Bombardieri. "Classification criteria in Sjögren’s syndrome." Annals of Translational Medicine 5, no. 15 (August 2017): 313. http://dx.doi.org/10.21037/atm.2017.05.07.

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22

Ushakova, Olga V. "Criteria for hexahedral cell classification." Applied Numerical Mathematics 127 (May 2018): 18–39. http://dx.doi.org/10.1016/j.apnum.2017.12.012.

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23

Goules, Andreas V., Athanasios G. Tzioufas, and Haralampos M. Moutsopoulos. "Classification criteria of Sjögren's syndrome." Journal of Autoimmunity 48-49 (February 2014): 42–45. http://dx.doi.org/10.1016/j.jaut.2014.01.013.

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24

Ворочаева, Людмила, Lyudmila Vorochaeva, Сергей Савин, and Sergey Savin. "CRITERIA FOR CLASSIFICATION OF IN-PIPE ROBOTS." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 3, no. 3 (March 25, 2018): 89–100. http://dx.doi.org/10.12737/article_5abfc9c46d1462.45506145.

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In-pipe robots are developed for solving a diverse set of tasks, all of which have to do with monitoring and repairs of pipelines. These tasks include generation of maps of pipelines, detecting defects, anomalies and matter deposits on the inner surface of the pipe, studying the inner surface of the pipe in order to determine if it needs to be repaired and if it is possible to repair it, gathering information on the properties of the inner surface of the pipe and studying the change of these properties. These tasks have practical significance and their automation with robots is economically beneficial. Considering the variety of the existing in-pipe robot designs, it is important to have a way to categorize them and have a clear understanding which tasks are suitable for particular in-pipe robots. To this end, the detailed classifications of in-pipe robots can be used. This paper presents a survey of classifications of in-pipe robots. The previously proposed criteria for such classifications are discussed. The ambiguity of the commonly used classifications is highlighted. The paper presents a more detailed classification, based on eight criteria: 1) types of pipe surfaces that a robot can interact with, 2) controllability of a robot (distinguishing fully passive and active robots), 3) type of contact interaction with the inner surface of the pipe, 4) controllability of normal reactions and 5) controllability of friction forces in contact points or surfaces, 6) contact element types, 7) motor type, 8) transmission type. Combination of these criteria allows highlighting particular features of the existing in-pipe robot designs, simplifying the analysis of problem range that the robot can solve.
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25

Музя, Є. М. "TOPONYMIC LEXICS AND ITS CLASSIFICATION CRITERIA." Writings in Romance-Germanic Philology, no. 1(40) (July 9, 2018): 139–44. http://dx.doi.org/10.18524/2307-4604.2018.1(40).137070.

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26

BARON, MURRAY, JANET E. POPE, FRANK VAN DEN HOOGEN, DINESH KHANNA, JAAP FRANSEN, SINDHU R. JOHNSON, and MARCO MATUCCI-CERINIC. "Specificity of Systemic Sclerosis Classification Criteria." Journal of Rheumatology 42, no. 12 (December 2015): 2512. http://dx.doi.org/10.3899/jrheum.150694.

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27

Ostrowski, Wiesław. "The Criteria of Cartographic Method Classification." Miscellanea Geographica 2, no. 1 (March 1, 1986): 335–42. http://dx.doi.org/10.2478/mgrsd-1986-020147.

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28

Skupas, Bronius, Valentina Dagiene, and Miguel Revilla. "Developing classification criteria for programming tasks." ACM SIGCSE Bulletin 41, no. 3 (August 25, 2009): 373. http://dx.doi.org/10.1145/1595496.1563015.

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29

Loos, Lesley, Leeann Runyan, and Debbie Pelch. "Development of prehospital medical classification criteria." Air Medical Journal 17, no. 1 (January 1998): 13–15. http://dx.doi.org/10.1016/s1067-991x(98)90083-9.

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30

Thompson, Roney L., and Paulo R. Souza Mendes. "Considerations on kinematic flow classification criteria." Journal of Non-Newtonian Fluid Mechanics 128, no. 2-3 (July 2005): 109–15. http://dx.doi.org/10.1016/j.jnnfm.2005.04.002.

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31

Li, Dafa, Xiangrong Li, Hongtao Huang, and Xinxin Li. "Simple criteria for the SLOCC classification." Physics Letters A 359, no. 5 (December 2006): 428–37. http://dx.doi.org/10.1016/j.physleta.2006.07.004.

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32

Hodgson, Anjelica, Kay J. Park, Bojana Djordjevic, Brooke E. Howitt, Marisa R. Nucci, Esther Oliva, Simona Stolnicu, Bin Xu, Robert A. Soslow, and Carlos Parra-Herran. "International Endocervical Adenocarcinoma Criteria and Classification." American Journal of Surgical Pathology 43, no. 1 (January 2019): 75–83. http://dx.doi.org/10.1097/pas.0000000000001095.

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33

Bervnan, Stephen. "Classification and criteria of otitis media." Clinical Microbiology and Infection 3 (1997): 3S1–3S4. http://dx.doi.org/10.1016/s1198-743x(14)64945-4.

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34

Aringer, Martin. "EULAR/ACR classification criteria for SLE." Seminars in Arthritis and Rheumatism 49, no. 3 (December 2019): S14—S17. http://dx.doi.org/10.1016/j.semarthrit.2019.09.009.

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35

Vinall, M., and F. H. J. van den Hoogen. "2013 ACR-EULAR Scleroderma Classification Criteria." MD Conference Express 13, no. 18 (January 1, 2013): 12–13. http://dx.doi.org/10.1177/155989771318003.

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36

Gattorno, Marco, Michael Hofer, Silvia Federici, Federica Vanoni, Francesca Bovis, Ivona Aksentijevich, Jordi Anton, et al. "Classification criteria for autoinflammatory recurrent fevers." Annals of the Rheumatic Diseases 78, no. 8 (April 24, 2019): 1025–32. http://dx.doi.org/10.1136/annrheumdis-2019-215048.

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BackgroundDifferent diagnostic and classification criteria are available for hereditary recurrent fevers (HRF)—familial Mediterranean fever (FMF), tumour necrosis factor receptor-associated periodic fever syndrome (TRAPS), mevalonate kinase deficiency (MKD) and cryopyrin-associated periodic syndromes (CAPS)—and for the non-hereditary, periodic fever, aphthosis, pharyngitis and adenitis (PFAPA). We aimed to develop and validate new evidence-based classification criteria for HRF/PFAPA.MethodsStep 1: selection of clinical, laboratory and genetic candidate variables; step 2: classification of 360 random patients from the Eurofever Registry by a panel of 25 clinicians and 8 geneticists blinded to patients’ diagnosis (consensus ≥80%); step 3: statistical analysis for the selection of the best candidate classification criteria; step 4: nominal group technique consensus conference with 33 panellists for the discussion and selection of the final classification criteria; step 5: cross-sectional validation of the novel criteria.ResultsThe panellists achieved consensus to classify 281 of 360 (78%) patients (32 CAPS, 36 FMF, 56 MKD, 37 PFAPA, 39 TRAPS, 81 undefined recurrent fever). Consensus was reached for two sets of criteria for each HRF, one including genetic and clinical variables, the other with clinical variables only, plus new criteria for PFAPA. The four HRF criteria demonstrated sensitivity of 0.94–1 and specificity of 0.95–1; for PFAPA, criteria sensitivity and specificity were 0.97 and 0.93, respectively. Validation of these criteria in an independent data set of 1018 patients shows a high accuracy (from 0.81 to 0.98).ConclusionEurofever proposes a novel set of validated classification criteria for HRF and PFAPA with high sensitivity and specificity.
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37

Khovpun, O. S. "PHARMACEUTICAL LEGAL RELATIONS: BASIC CLASSIFICATION CRITERIA." Law Bulletin 1, no. 11 (2019): 121–27. http://dx.doi.org/10.32850/2414-4207.2019.11-1.15.

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38

Davatchi, Fereydoun. "Diagnosis/Classification Criteria for Behcet's Disease." Pathology Research International 2012 (September 27, 2012): 1–5. http://dx.doi.org/10.1155/2012/607921.

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Historical Background. The ISG criteria for Behcet's, created in 1990, have excellent specificity, but lack sensitivity. The International Criteria for Behcet's Disease (ICBD) was created in 2006, as replacement to ISG. The aim of this study was to compare their performance. ISG and ICBD Criteria. For ISG oral aphthosis is mandatory. The presence of any two of the following (genital aphthosis, skin lesions, eye lesions, and positive pathergy test) will diagnose/classify the patient as BD. For ICBD, vascular lesions were added, while oral aphthosis is no more mandatory. Getting 3 or more points diagnose/classify the patient as BD (genital aphthosis 2 points, eye lesions 2 points, and the remaining each one point). Performance and Comparison of ISG and ICBD. Their sensitivity, specificity, and accuracy (percent agreement), were tested in three independent cohort of patients from Far-East (China), Middle-East (Iran), and Europe (Germany). The sensitivity for ISG was respectively 65.4%, 78.1%, 83.7% and for ICBD 87%, 98.2%, and 96.5%. The specificity for ISG was 99.2%, 98.8%, 89.5% and for ICBD 94.1%, 95.6%, and 73.7%. The accuracy for ISG was 74.2%, 85.5%, 85.5% and for ICBD 88.9%, 97.3%, and 89.5%. Conclusion. ICBD has better sensitivity, and accuracy than ISG.
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39

Caplan, L. R. "Transient global amnesia: criteria and classification." Neurology 36, no. 3 (March 1, 1986): 441. http://dx.doi.org/10.1212/wnl.36.3.441.

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40

Meador, K. J., R. J. Adams, and H. F. Flanigin. "Transient global amnesia: criteria and classification." Neurology 36, no. 3 (March 1, 1986): 441. http://dx.doi.org/10.1212/wnl.36.3.441-a.

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41

Matias-Guiu, J., and A. Codina. "Transient global amnesia: criteria and classification." Neurology 36, no. 3 (March 1, 1986): 441. http://dx.doi.org/10.1212/wnl.36.3.441-b.

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42

Meador, K. J., H. F. Flanigin, and R. J. Adams. "Transient global amnesia: criteria and classification." Neurology 36, no. 3 (March 1, 1986): 442. http://dx.doi.org/10.1212/wnl.36.3.442.

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43

Aggarwal, Rohit, Sarah Ringold, Dinesh Khanna, Tuhina Neogi, Sindhu R. Johnson, Amy Miller, Hermine I. Brunner, et al. "Distinctions Between Diagnostic and Classification Criteria?" Arthritis Care & Research 67, no. 7 (June 25, 2015): 891–97. http://dx.doi.org/10.1002/acr.22583.

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44

Fox, Robert I., Charles A. Robinson, John G. Curd, Franklin Kozin, and Francis V. Howelly. "Sjögren's syndrome. Proposed criteria for classification." Arthritis & Rheumatism 29, no. 5 (May 1986): 577–85. http://dx.doi.org/10.1002/art.1780290501.

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45

Song, Jung-Soo. "New Classification Criteria for Rheumatoid Arthritis." Korean Journal of Medicine 87, no. 4 (2014): 383. http://dx.doi.org/10.3904/kjm.2014.87.4.383.

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46

Ritchie, Karen, Sylvaine Artero, and Jacques Touchon. "Classification criteria for mild cognitive impairment." Neurology 56, no. 1 (January 9, 2001): 37–42. http://dx.doi.org/10.1212/wnl.56.1.37.

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47

Eliseev, M. S. "GOUT CLASSIFICATION CRITERIA (ACR/EULAR GUIDELINES)." Rheumatology Science and Practice 53, no. 6 (January 1, 2015): 581–85. http://dx.doi.org/10.14412/1995-4484-2015-581-585.

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48

Muravyev, Yu V., and A. S. Misiyuk. "Rheumatoid arthritis classification criteria: debatable problems." Rheumatology Science and Practice 56, no. 6 (January 22, 2019): 805–7. http://dx.doi.org/10.14412/1995-4484-2018-805-807.

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The paper discusses the issues of imperfect 1987 American College of Rheumatology (ACR) and the 2010 ACR/European League Against Rheumatology (EULAR) rheumatoid arthritis classification criteria and justifies the need for their correction.
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49

Razzak, Mina. "New classification criteria developed for research." Nature Reviews Rheumatology 13, no. 12 (November 21, 2017): 694. http://dx.doi.org/10.1038/nrrheum.2017.192.

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50

Stracuzzi, G., S. Ranno, G. Minaldi, R. Leonardi, and M. G. Turco. "Hypospadias: Classification and criteria for surgery." Urologia Journal 64, no. 4 (August 1997): 393–99. http://dx.doi.org/10.1177/039156039706400404.

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– The authors report on 579 cases of hypospadias operated between 1975 and 1995 (405 Balkan, 112 penile and 62 with involvement of the scrotum). The first 90 cases were treated with traditional techniques (45 Ombredanne, 25 Matthieu, 15 Duplay-Marion, 5 Brown), the most recent, from 1979 to 1995, by urethroplasty with pedunculated island strips. The authors describe these techniques applied to the various kinds of hypospadias and conclude that modern techniques (modified MAGPI, modified Standoli, Micali) permit reconstruction in one session with few complications.
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