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Books on the topic 'Classification risk'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

National Research Council (U.S.). Committee on Risk-Based Criteria for Non-RCRA Hazardous Waste., ed. Risk-based waste classification in California. National Academy Press, 1999.

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2

Gentry, James A. A commercial loan risk classification system. College of Commerce and Business Administration, Bureau of Economic and Business Research, University of Illinois Urbana-Champaign, 1989.

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3

National Council on Radiation Protection and Measurements., ed. Risk-based classification of radioactive and hazardous chemical wastes. National Council on Radiation Protection & Measurements, 2002.

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4

Washington (State). Dept. of Labor and Industries., ed. Common work-related injuries in trucking: Risk classification 1102. State of Washington, Dept. of Labor and Industries, Data Analysis Section, 1992.

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5

Clarke, Stevens H. Probationer recidivism in North Carolina: Measurement and classification of risk. Institute of Government, University of North Carolina at Chapel Hill, 1988.

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6

M, Denuit, ed. Actuarial modelling of claim counts: Risk classification, credibility, and bonus-malus systems. Wiley, 2007.

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7

IESNA Photobiology Committee., Illuminating Engineering Society of North America., and American National Standards Institute, eds. Recommended practice for photobiological safety for lamps-- risk group classification and labeling. Illuminating Engineering Society of North America, 2007.

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8

IESNA Photobiology Committee., ed. Recommended practice for photobiological safety for lamps--risk group classification and labeling. Illuminating Engineering Society of North America, 1996.

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9

Wierman, T. E. Common-cause failure database and analysis system: Event data collection, classification, and coding. U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, 2007.

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10

Austin, James. Classification of high-risk and special management prisoners: A national assessment of current practices. U.S. Dept. of Justice, National Institute of Corrections, 2004.

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11

Austin, James. Classification of high-risk and special management prisoners: A national assessment of current practices. U.S. Dept. of Justice, National Institute of Corrections, 2004.

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12

Austin, James. Classification of high-risk and special management prisoners: A national assessment of current practices. U.S. Dept. of Justice, National Institute of Corrections, 2004.

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13

Kenneth, McGinnis, and National Institute of Corrections (U.S.), eds. Classification of high-risk and special management prisoners: A national assessment of current practices. U.S. Dept. of Justice, National Institute of Corrections, 2004.

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14

Dr, Richter A., Germany. Bundesministerium für Forschung und Technologie., and Ingenieur- und Servicegesellschaft für Energie und Umwelt., eds. Bestimmung von Leitnukliden und Produkteigenschaften endzulagernder radioaktiver Abfälle: Abschlussbericht. IfE Leipzig, 1994.

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15

Astaf'eva, Ol'ga, Natal'ya Moiseenko, Aleksandr Kozlovskiy, Tat'yana Shemyakina, and Viktor Serov. Risk management in construction. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1842952.

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The monograph is devoted to the issues of risk management in the organizations of the investment and construction complex. The issues of risk classification are consistently considered, approaches to determining the types and types of risks are established. Attention is paid to approaches to the construction of a risk management mechanism and the specifics of the impact on the identified risks in terms of minimizing possible damage. The issues of state regulation are highlighted, a complex economic problem related to the study of the effectiveness of the chosen strategy of real investment proj

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16

Potiron, Katia. From Fault Classification to Fault Tolerance for Multi-Agent Systems. Springer London, 2013.

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17

W, Moeller D., and NCRP Public Symposium on "Radioactive and Mixed Waste--Risk as a Basis for Waste Classification" (1994 : Las Vegas, Nev.), eds. Radioactive and mixed waste--risk as a basis for waste classification: [symposium] held November 9, 1994, Las Vegas, Nevada. National Council on Radiation Protection and Measurements, 1995.

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18

Chapman, Peter M. Hazard identification, hazard classification and risk assessment for metals and metal compounds in the aquatic environment. International Council on Metals and the Environment, 1996.

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19

Bootsma, A. Soil climate classification and winter risk assesment for the Atlantic region based on estimated soil temperatures. Research Branch, Agriculture Canada, 1990.

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20

Canada. Status of Women Canada. Taking risks: Incorporating gender and culture into the classification and assessment of federally sentenced women in Canada. Status of Women Canada, 2001.

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21

Norbert, Goldfield, ed. Physician profiling and risk adjustment. 2nd ed. Aspen, 1999.

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22

Norbert, Goldfield, and Boland Peter, eds. Physician profiling and risk adjustment. Aspen Publishers, 1996.

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23

New Jersey. Legislature. Joint Committee on Automobile Insurance Reform. Committee meeting of Joint Committee on Automobile Insurance Reform: "testimony regarding private passenger automobile insurance rating, risk classification and related issues". The Committee, 1998.

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24

United States. Congress. House. Committee on Homeland Security. Subcommittee on Intelligence, Information Sharing, and Terrorism Risk Assessment. The over-classification and pseudo-classification.: Hearing before the Subcommittee on Intelligence, Information Sharing, and Terrorism Risk Assessment of the Committee on Homeland Security, House of Representatives, One Hundred Tenth Congress, first session, March 22, 2007, April 26, 2007, and June 28, 2007. U.S. G.P.O., 2009.

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25

United, States Congress House Committee on Homeland Security Subcommittee on Intelligence Information Sharing and Terrorism Risk Assessment. H.R. 6193: The "Improving Public Access to Documents Act of 2008" : hearing before the Subcommittee on Intelligence, Information Sharing, and Terrorism Risk Assessment of the Committee on Homeland Security, House of Representatives, One Hundred Tenth Congress, second session, June 11, 2008. U.S. G.P.O., 2008.

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26

Food and Agriculture Organization of the United Nations. Enterobacter sakazakii (Cronobacter spp.) in powdered follow-up formula: Meeting report. World Health Organization, 2008.

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27

Office, General Accounting. Information security: Weaknesses place commerce data and operations at serious risk : report to the chairman, Committee on Energy and Commerce, House of Representatives. The Office, 2001.

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28

1955-, Hejzlar Zdenek, ed. Technical aspects of phase I/II environmental site assessments. 2nd ed. ASTM, 2007.

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29

H, Kilgore Julie, and Eke Norman, eds. Technical aspects of phase I/II environmental site assessments. ASTM International, 2015.

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30

Office, General Accounting. Information security: Weak controls place Interior's financial and other data at risk : report to the Secretary of the Interior. The Office, 2001.

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31

Cummins, J. David, B. D. Smith, Vance, and J. L. Vanderhel. Risk Classification in Life Insurance. Springer London, Limited, 2013.

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32

Cummins, J. David, B. D. Smith, Vance, and J. L. Vanderhel. Risk Classification in Life Insurance. Springer Netherlands, 2010.

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33

Risk-Based Waste Classification in California. National Academies Press, 1999. http://dx.doi.org/10.17226/9466.

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34

Kübler, Bernhard Christian. Risk Classification by Means of Clustering. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2010.

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35

Committee on Risk-Based Criteria for Non-RCRA Hazardous Waste, Commission on Life Sciences, Division on Earth and Life Studies, and National Research Council. Risk-Based Waste Classification in California. National Academies Press, 1999.

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36

Risk Classification by Means of Clustering. Lang Publishing, Incorporated, Peter, 2010.

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37

Committee on Risk-Based Criteria for Non-RCRA Hazardous Waste, Commission on Life Sciences, Division on Earth and Life Studies, and National Research Council. Risk-Based Waste Classification in California. National Academies Press, 1999.

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38

Committee on Risk-Based Criteria for Non-RCRA Hazardous Waste, Commission on Life Sciences, Division on Earth and Life Studies, and National Research Council. Risk-Based Waste Classification in California. National Academies Press, 1999.

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39

Risk classification by means of clustering. Peter Lang, 2010.

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40

Lee, Christoph I. Coronary Artery Calcium Score and Risk Classification. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190223700.003.0023.

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This chapter, found in the chest pain section of the book, provides a succinct synopsis of a key study examining the use of computed tomography (CT) coronary artery calcium score for cardiovascular risk stratification. This summary outlines the study methodology and design, major results, limitations and criticisms, related studies and additional information, and clinical implications. Researchers report that adding coronary artery calcium score to traditional risk factors produces significant improvements in classification of patients for future risk of coronary heart disease events, especial

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41

Aguilar, Elmira. Retinopathy of Prematurity: Classification, Risk Factors and Treatment. Nova Science Publishers, Incorporated, 2015.

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42

Common work-related injuries in trucking: Risk classification 1102. The Section, 1992.

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43

Hoste, Eric A. J., John A. Kellum, and Norbert Lameire. Definitions, classification, epidemiology, and risk factors of acute kidney injury. Edited by Norbert Lameire. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0220_update_001.

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The lack of a precise biochemical definition of acute kidney injury (AKI) resulted in at least 35 definitions in the medical literature, which gave rise to a wide variation in reported incidence and clinical significance of AKI, impeded a meaningful comparison of studies.The first part of this chapter describes and discusses different definitions and classification systems of AKI. Patient outcome and the need for renal replacement therapy are directly related to the severity of AKI, an observation that supports the use of a categorical staging system rather than a simple binary descriptor. The

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44

A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment. Springer, 2018.

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45

Garcia, Christopher M. Lopez. Handbook on Metabolic Syndrome: Classification, Risk Factors and Health Impact. Nova Science Publishers, Inc., 2012.

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46

Tanislav, Christian, and Manfred Kaps. Classification. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198722366.003.0003.

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The classification of a cerebrovascular event distils information obtained in the workup and other related case history to a category indicating a specific pathophysiology, with direct implications for the subsequent secondary prevention management. A minimum standard of diagnostics is required for a precise classification. In young stroke victims, the conventional Trial of Org 10172 in Acute Stroke Treatment (TOAST) stroke subtype classification may only address the aetiopathogenesis in 30–60% of the individuals who are affected by vascular risk factors. Applying the criteria defined by TOAST

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47

Custody needs and public risk of Colorado's prisoners: An assessment. The Division, 1986.

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48

Wang, Ran, and Jorge A. Chan-Lau. UnFEAR: Unsupervised Feature Extraction Clustering with an Application to Crisis Regimes Classification. International Monetary Fund, 2020.

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49

Wang, Ran, and Jorge A. Chan-Lau. UnFEAR: Unsupervised Feature Extraction Clustering with an Application to Crisis Regimes Classification. International Monetary Fund, 2020.

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50

Wang, Ran, and Jorge A. Chan-Lau. UnFEAR: Unsupervised Feature Extraction Clustering with an Application to Crisis Regimes Classification. International Monetary Fund, 2020.

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