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Articoli di riviste sul tema "Decision support systems"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

B verstam, U. "Decision Support and Decision Support Systems." Radiation Protection Dosimetry 73, no. 1 (1997): 1–6. http://dx.doi.org/10.1093/oxfordjournals.rpd.a032107.

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2

Fedkova, Nadezhda Alexandrovna, and Sergey Sergeevich Chudakov. "DECISION SUPPORT SYSTEMS." Vestnik obrazovatel'nogo konsortsiuma Srednerusskii universitet. Informatsionnye tekhnologii, no. 2 (2021): 23–26. http://dx.doi.org/10.52374/15269658_2021_18_2_23.

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3

Olsen, Christopher R., and William C. Bozeman. "Decision Support Systems." Journal of Research on Computing in Education 20, no. 3 (1988): 206–12. http://dx.doi.org/10.1080/08886504.1988.10781835.

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4

Fralic, Maryann F. "Decision support systems." Nursing Administration Quarterly 14, no. 1 (1989): 1–8. http://dx.doi.org/10.1097/00006216-198901410-00003.

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5

O'Sullivan, Elizabethann. "Decision Support Systems." Evaluation Review 9, no. 1 (1985): 84–92. http://dx.doi.org/10.1177/0193841x8500900105.

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6

French, Simon, and Murray Turoff. "Decision support systems." Communications of the ACM 50, no. 3 (2007): 39–40. http://dx.doi.org/10.1145/1226736.1226762.

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7

Wyatt, J. "Decision Support Systems." Yearbook of Medical Informatics 02, no. 01 (1993): 325–27. http://dx.doi.org/10.1055/s-0038-1637983.

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8

Fieschi, M. "Decision-Support Systems." Yearbook of Medical Informatics 03, no. 01 (1994): 315–17. http://dx.doi.org/10.1055/s-0038-1638008.

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9

Heathfield, Heather A. "Decision Support Systems." Yearbook of Medical Informatics 04, no. 01 (1995): 455–57. http://dx.doi.org/10.1055/s-0038-1638034.

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10

Suermondt, H. J. "Decision-Support Systems." Yearbook of Medical Informatics 05, no. 01 (1996): 367–70. http://dx.doi.org/10.1055/s-0038-1638061.

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11

Aliferis, C. F. "Decision Support Systems." Yearbook of Medical Informatics 06, no. 01 (1997): 419–23. http://dx.doi.org/10.1055/s-0038-1639689.

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12

Finlay, Paul N. "Decision support systems." Data Processing 28, no. 8 (1986): 434–37. http://dx.doi.org/10.1016/0011-684x(86)90427-2.

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13

Jacobs, Sheila M., and Sandra Pelfrey. "Decision Support Systems." JONA: The Journal of Nursing Administration 25, no. 2 (1995): 46–51. http://dx.doi.org/10.1097/00005110-199502000-00007.

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14

Vahidov, Rustam, and Gregory E. Kersten. "Decision station: situating decision support systems." Decision Support Systems 38, no. 2 (2004): 283–303. http://dx.doi.org/10.1016/s0167-9236(03)00099-x.

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15

Teufel, Andreas, and Harald Binder. "Clinical Decision Support Systems." Visceral Medicine 37, no. 6 (2021): 491–98. http://dx.doi.org/10.1159/000519420.

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Abstract (sommario):

<b><i>Background:</i></b> By combining up-to-date medical knowledge and steadily increasing patient data, a new level of medical care can emerge. <b><i>Summary and Key Messages:</i></b> Clinical decision support systems (CDSSs) are an arising solution to handling rich data and providing them to health care providers in order to improve diagnosis and treatment. However, despite promising examples in many areas, substantial evidence for a thorough benefit of these support solutions is lacking. This may be due to a lack of general frameworks and div

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16

McCartney, Patricia R. "Clinical Decision Support Systems." MCN, The American Journal of Maternal/Child Nursing 32, no. 1 (2007): 58. http://dx.doi.org/10.1097/00005721-200701000-00014.

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17

Zusman, Edie E., and Yuriy Vinokur. "Clinical Decision Support Systems." Neurosurgery 71, no. 4 (2012): N12—N14. http://dx.doi.org/10.1227/01.neu.0000419707.79663.e7.

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18

Ponedal, Steven. "Understanding Decision Support Systems." Journal of Managed Care Pharmacy 8, no. 2 (2002): 96–101. http://dx.doi.org/10.18553/jmcp.2002.8.2.96.

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19

Cassie, Claire. "Marketing decision support systems." Industrial Management & Data Systems 97, no. 8 (1997): 293–96. http://dx.doi.org/10.1108/02635579710195000.

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20

Payne, Thomas H. "Computer Decision Support Systems." Chest 118, no. 2 (2000): 47S—52S. http://dx.doi.org/10.1378/chest.118.2_suppl.47s.

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21

Fazlollahi, Bijan, Mihir A. Parikh, and Sameer Verma. "Adaptive decision support systems." Decision Support Systems 20, no. 4 (1997): 297–315. http://dx.doi.org/10.1016/s0167-9236(97)00014-6.

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22

Burns, N. D. "Manufacturing decision support systems." Materials & Design 17, no. 5-6 (1996): 304–5. http://dx.doi.org/10.1016/s0261-3069(97)82748-3.

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23

Wyatt, Jeremy C. "9. Decision support systems." Journal of the Royal Society of Medicine 93, no. 12 (2000): 629–33. http://dx.doi.org/10.1177/014107680009301206.

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24

Eom, Sean, Sang Lee, Chellappa Somarajan, and Eyong Kim. "Decision support systems applications." OR Insight 10, no. 2 (1997): 18–32. http://dx.doi.org/10.1057/ori.1997.9.

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25

Jacob, Varghese S., and Hasan Pirkul. "Organizational decision support systems." International Journal of Man-Machine Studies 36, no. 6 (1992): 817–32. http://dx.doi.org/10.1016/0020-7373(92)90074-u.

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26

Hornberger, John, and Mary Kane Goldstein. "Clinical Decision-support Systems:." Medical Decision Making 20, no. 1 (2000): 130–31. http://dx.doi.org/10.1177/0272989x0002000116.

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27

Nour, Mohamed A., and David (Chi-Chung) Yen. "Group decision support systems." Information & Management 23, no. 2 (1992): 55–64. http://dx.doi.org/10.1016/0378-7206(92)90008-4.

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28

Gray, Paul. "Group decision support systems." Decision Support Systems 3, no. 3 (1987): 233–42. http://dx.doi.org/10.1016/0167-9236(87)90178-3.

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29

Gottinger, Hans W., and Peter Weimann. "Intelligent decision support systems." Decision Support Systems 8, no. 4 (1992): 317–32. http://dx.doi.org/10.1016/0167-9236(92)90053-r.

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30

Cooney, Timothy M. "Software: Decision Support Systems." Journal of Forestry 84, no. 1 (1986): 13–14. http://dx.doi.org/10.1093/jof/84.1.13.

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31

NOTTE, CHRISTOPHER, and NEIL SKOLNIK. "Clinical decision support systems." Rheumatology News 12, no. 2 (2013): 29. https://doi.org/10.1016/s1541-9800(13)70039-5.

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32

Watson, Hugh J., Astrid Lipp, Pamela Z. Jackson, Abdelhafid Dahmani, and William B. Fredenberger. "Organizational Support for Decision Support Systems." Journal of Management Information Systems 5, no. 4 (1989): 87–109. http://dx.doi.org/10.1080/07421222.1989.11517841.

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33

Huryk, Laurie A. "Information Systems and Decision Support Systems." AJN, American Journal of Nursing 112, no. 1 (2012): 62–65. http://dx.doi.org/10.1097/01.naj.0000410365.51061.81.

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34

Sydow, A., R. Straubel, and K. Bellmann. "Decision Support Systems for Environmental Systems." IFAC Proceedings Volumes 20, no. 12 (1987): 443–47. http://dx.doi.org/10.1016/s1474-6670(17)55672-4.

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35

Knight, Jonathan D., and John D. Mumford. "Decision Support Systems in Crop Protection." Outlook on Agriculture 23, no. 4 (1994): 281–85. http://dx.doi.org/10.1177/003072709402300408.

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Abstract (sommario):

All farmers and growers have at some time faced the decision of whether to control a pest in their crop. In order to make the correct decision the farmer needs access to, and an understanding of, sufficient information relevant to such pest problems. Decision support systems are able to help farmers make these difficult decisions by providing information in an easily understandable and quickly accessed form. The increasing use of computers by farmers for record-keeping and business management is putting the hardware necessary for the implementation of these systems onto more and more farms. Th

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36

Mashli Aina, Ahmed Abdulatef. "Developing Decision Support Capabilities through Use of Management Information Systems." International Journal of Management Science and Business Administration 1, no. 9 (2015): 46–51. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.19.1005.

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Abstract (sommario):

Management Information Systems (MIS) are widely used in big corporations to collect, organize, filter and present data, resulting in more effective decision-making. Through use of MIS, individuals shape the way how they make decisions. In our study, we posit that utilization of MIS in the decision-making process impacts the decision support capabilities of systems. The use of MIS develops speed, quality, and other features of decision-making. Moreover, improvement in decision-making is aimed to ensure customer satisfaction and good business results. All MIS strategies should therefore be tailo

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37

O’Sullivan, Dympna, Paolo Fraccaro, Ewart Carson, and Peter Weller. "Decision time for clinical decision support systems." Clinical Medicine 14, no. 4 (2014): 338–41. http://dx.doi.org/10.7861/clinmedicine.14-4-338.

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38

Hersh, M. A. "Sustainable decision making and decision support systems." Computing & Control Engineering Journal 9, no. 6 (1998): 289–95. http://dx.doi.org/10.1049/cce:19980610.

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39

Lee, Daniel T. "Expert Decision-support Systems for Decision-making." Journal of Information Technology 3, no. 2 (1988): 85–94. http://dx.doi.org/10.1057/jit.1988.16.

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40

Lee, Daniel T. "Expert Decision-support Systems for Decision-making." Journal of Information Technology 3, no. 2 (1988): 85–94. http://dx.doi.org/10.1177/026839628800300204.

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Abstract (sommario):

Computers have made tremendous contributions towards transactional processing. However, the highest pay-off the computer can make is not in transactional processing but in decision-making. Recently, expert systems have just begun to be used in the decision-making process. Individual technologies alone are inadequate for an effective decision support. The purpose of this paper is to investigate the related issues in decision support and to develop an expert decision support system (EDSS) for combining decision support systems and expert systems into a unified whole for decision support. The emp

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41

Harmon, Joel I. "Tactical decision making and decision support systems." New Directions for Institutional Research 1986, no. 49 (1986): 17–27. http://dx.doi.org/10.1002/ir.37019864904.

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42

Liu, Shaofeng, Alex H. B. Duffy, Robert Ian Whitfield, and Iain M. Boyle. "Integration of decision support systems to improve decision support performance." Knowledge and Information Systems 22, no. 3 (2009): 261–86. http://dx.doi.org/10.1007/s10115-009-0192-4.

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43

Palestini, Luigi. "Communication and Decision Support Systems." International Journal of Safety and Security Engineering 11, no. 4 (2021): 397–407. http://dx.doi.org/10.18280/ijsse.110413.

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Abstract (sommario):

In emergencies, assessment and communication activities are particularly important for the support of the top decision-making bodies, to evaluate “just in time” the best actions to be taken. The multiple problems to be solved require specific skills in different areas. Upon the occurrence of a calamity, the authorities must answer questions such as “is a given place safe from the threat (e.g., an oncoming flood)?”, that’s why today knowledge of tools that can support decision-making is increasingly necessary: the so-called Decision Support Systems (DSS), software that allow users to improve si

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44

Walsh, Seán, Evelyn E. C. de Jong, Janna E. van Timmeren, et al. "Decision Support Systems in Oncology." JCO Clinical Cancer Informatics, no. 3 (December 2019): 1–9. http://dx.doi.org/10.1200/cci.18.00001.

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Abstract (sommario):

Precision medicine is the future of health care: please watch the animation at https://vimeo.com/241154708 . As a technology-intensive and -dependent medical discipline, oncology will be at the vanguard of this impending change. However, to bring about precision medicine, a fundamental conundrum must be solved: Human cognitive capacity, typically constrained to five variables for decision making in the context of the increasing number of available biomarkers and therapeutic options, is a limiting factor to the realization of precision medicine. Given this level of complexity and the restrictio

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45

Sauter, Vicki L., Srikanth Mudigonda, Ashok Subramanian, and Ray Creely. "Visualization-Based Decision Support Systems." International Journal of Decision Support System Technology 3, no. 1 (2011): 1–20. http://dx.doi.org/10.4018/jdsst.2011010101.

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Abstract (sommario):

Increasingly, decision makers are incorporating large quantities of interrelated data in their decision making. Decision support systems need to provide visualization tools to help decision makers glean trends and patterns that will help them design and evaluate alternative actions. While visualization software that might be incorporated into decision support systems is available, the literature does not provide sufficient guidelines for selecting among possible visualizations or their attributes. This paper describes a case study of the development of a visualization component to represent re

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46

Малых, Владимир Леонидович. "Decision support systems in medicine." Program Systems: Theory and Applications 10, no. 2 (2019): 155–84. http://dx.doi.org/10.25209/2079-3316-2019-10-2-155-184.

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Abstract (sommario):

Современная медицина осваивает системы поддержки принятия решений (СППР). Анализируя российские и зарубежные источники, работа выявляет основные барьеры на пути создания СППР для медицины. Приводятся возможные подходы к преодолению концептуальных барьеров, предлагается возможное комплексное решение проблемы. Рассматривается гибридная модель СППР широкого класса для медицины. Результаты могут быть использованы разработчиками ИТ для построения СППР на основе научной и эмпирической компонент медицинских знаний.

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47

Gray, Paul, and Omar A. El Sawy. "Implications for Decision Support Systems." Journal of Decision Systems 19, no. 4 (2010): 377–87. http://dx.doi.org/10.3166/jds.19.377-387.

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48

Abu-Hanna, A., and B. Nannings. "Characterizing Decision Support Telemedicine Systems." Methods of Information in Medicine 45, no. 05 (2006): 523–27. http://dx.doi.org/10.1055/s-0038-1634113.

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Abstract (sommario):

Summary Objectives: Decision Support Telemedicine Systems (DSTS) are at the intersection of two disciplines: telemedicine and clinical decision support systems (CDSS). The objective of this paper is to provide a set of characterizing properties for DSTSs. This characterizing property set (CPS) can be used for typing, classifying and clustering DSTSs. Methods: We performed a systematic keyword-based literature search to identify candidate-characterizing properties. We selected a subset of candidates and refined them by assessing their potential in order to obtain the CPS. Results: The CPS consi

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49

Ramnarayan, P. "Paediatric clinical decision support systems." Archives of Disease in Childhood 87, no. 5 (2002): 361–62. http://dx.doi.org/10.1136/adc.87.5.361.

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50

Ba, Sulin, and Andrew B. Whinston. "Challenges for Decision Support Systems." IEEJ Transactions on Electronics, Information and Systems 114, no. 3 (1994): 295–309. http://dx.doi.org/10.1541/ieejeiss1987.114.3_295.

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