1000Minds

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1000Minds
1000Minds Logo 2013.png
Developer(s) 1000Minds Ltd
Initial release 2002 (2002)
Operating system Internet browser
Available in English
Type Decision-making software, Business intelligence, Conjoint analysis, Choice modelling
License Proprietary; usually free for academic researchers and students
Website www.1000minds.com

1000Minds is online decision-making software for ranking, prioritizing or choosing between alternatives in situations where a variety of objectives or criteria need to be considered simultaneously (i.e., multi-criteria decision making). Depending on the application, budgets or other scarce resources can be allocated across competing alternatives.[1]

1000Minds is also used for group decision-making and for discovering stakeholders’ preferences with respect to the relative importance (or ‘weight’) of the features or attributes characterizing alternatives of interest (i.e., conjoint analysis or choice modelling).

Invented by Franz Ombler and Paul Hansen at the University of Otago in 2002,[2] 1000Minds implements the Potentially all pairwise rankings of all possible alternatives (PAPRIKA) method[3] and is supplied by 1000Minds Ltd.[1]

Applications[edit]

Examples of areas in which 1000Minds is used:

References[edit]

  1. ^ a b McGinley, P. (2012), "Decision analysis software survey", OR/MS Today 39 
  2. ^ Scott, L. (April 2008), "Minds over Matter", North and South: 28–29 
  3. ^ Hansen, P.; Ombler, F. (2008). "A new method for scoring additive multi-attribute value models using pairwise rankings of alternatives". Journal of Multi-Criteria Decision Analysis 15 (3–4): 87. doi:10.1002/mcda.428.  edit
  4. ^ Hansen, P.; Hendry, A.; Naden, R.; Ombler, F.; Stewart, R. (2012). "A new process for creating points systems for prioritising patients for elective health services". Clinical Governance: an International Journal 17 (3): 200. doi:10.1108/14777271211251318.  edit
  5. ^ Taylor, W. J.; Laking, G. (2010). "Value for money – recasting the problem in terms of dynamic access prioritisation". Disability & Rehabilitation 32 (12): 1020. doi:10.3109/09638281003775535.  edit
  6. ^ Fitzgerald, A.; De Coster, C.; McMillan, S.; Naden, R.; Armstrong, F.; Barber, A.; Cunning, L.; Conner-Spady, B.; Hawker, G.; Lacaille, D.; Lane, C.; Mosher, D.; Rankin, J.; Sholter, D.; Noseworthy, T. (2011). "Relative urgency for referral from primary care to rheumatologists: The Priority Referral Score". Arthritis Care & Research 63 (2): 231–9. doi:10.1002/acr.20366. PMID 20890984.  edit
  7. ^ Aletaha, D.; Neogi, T.; Silman, A. J.; Funovits, J.; Felson, D. T.; Bingham, C. O.; Birnbaum, N. S.; Burmester, G. R.; Bykerk, V. P.; Cohen, M. D.; Combe, B.; Costenbader, K. H.; Dougados, M.; Emery, P.; Ferraccioli, G.; Hazes, J. M. W.; Hobbs, K.; Huizinga, T. W. J.; Kavanaugh, A.; Kay, J.; Kvien, T. K.; Laing, T.; Mease, P.; Ménard, H. A.; Moreland, L. W.; Naden, R. L.; Pincus, T.; Smolen, J. S.; Stanislawska-Biernat, E.; Symmons, D. (2010). "2010 Rheumatoid arthritis classification criteria: An American College of Rheumatology/European League Against Rheumatism collaborative initiative". Arthritis & Rheumatism 62 (9): 2569. doi:10.1002/art.27584.  edit
  8. ^ Golan, O. G.; Hansen, P. (2012). "Which health technologies should be funded? A prioritization framework based explicitly on value for money". Israel Journal of Health Policy Research 1 (1): 44. doi:10.1186/2045-4015-1-44. PMC 3541977. PMID 23181391.  edit
  9. ^ Golan, O.; Hansen, P.; Kaplan, G.; Tal, O. (2011). "Health technology prioritization: Which criteria for prioritizing new technologies and what are their relative weights?". Health Policy 102 (2–3): 126–135. doi:10.1016/j.healthpol.2010.10.012. PMID 21071107.  edit
  10. ^ Johnson, S. R.; Naden, R. P.; Fransen, J.; Van Den Hoogen, F.; Pope, J. E.; Baron, M.; Tyndall, A.; Matucci-Cerinic, M.; Denton, C. P.; Distler, O.; Gabrielli, A.; Van Laar, J. M.; Mayes, M.; Steen, V.; Seibold, J. R.; Clements, P.; Medsger, T. A.; Carreira, P. E.; Riemekasten, G.; Chung, L.; Fessler, B. J.; Merkel, P. A.; Silver, R.; Varga, J.; Allanore, Y.; Mueller-Ladner, U.; Vonk, M. C.; Walker, U. A.; Cappelli, S.; Khanna, D. (2014). "Multicriteria decision analysis methods with 1000Minds for developing systemic sclerosis classification criteria". Journal of Clinical Epidemiology 67 (6): 706. doi:10.1016/j.jclinepi.2013.12.009.  edit
  11. ^ Dobson, F.; Hinman, R. S.; Roos, E. M.; Abbott, J. H.; Stratford, P.; Davis, A. M.; Buchbinder, R.; Snyder-Mackler, L.; Henrotin, Y.; Thumboo, J.; Hansen, P.; Bennell, K. L. (2013). "OARSI recommended performance-based tests to assess physical function in people diagnosed with hip or knee osteoarthritis". Osteoarthritis and Cartilage 21 (8): 1042–1052. doi:10.1016/j.joca.2013.05.002. PMID 23680877.  edit
  12. ^ Van Den Hoogen, F.; Khanna, D.; Fransen, J.; Johnson, S. R.; Baron, M.; Tyndall, A.; Matucci-Cerinic, M.; Naden, R. P.; Medsger, T. A.; Carreira, P. E.; Riemekasten, G.; Clements, P. J.; Denton, C. P.; Distler, O.; Allanore, Y.; Furst, D. E.; Gabrielli, A.; Mayes, M. D.; Van Laar, J. M.; Seibold, J. R.; Czirjak, L.; Steen, V. D.; Inanc, M.; Kowal-Bielecka, O.; Müller-Ladner, U.; Valentini, G.; Veale, D. J.; Vonk, M. C.; Walker, U. A. et al. (2013). "2013 Classification Criteria for Systemic Sclerosis: An American College of Rheumatology/European League Against Rheumatism Collaborative Initiative". Arthritis & Rheumatism 65 (11): 2737. doi:10.1002/art.38098.  edit
  13. ^ Van Den Hoogen, F.; Khanna, D.; Fransen, J.; Johnson, S. R.; Baron, M.; Tyndall, A.; Matucci-Cerinic, M.; Naden, R. P.; Medsger, T. A.; Carreira, P. E.; Riemekasten, G.; Clements, P. J.; Denton, C. P.; Distler, O.; Allanore, Y.; Furst, D. E.; Gabrielli, A.; Mayes, M. D.; Van Laar, J. M.; Seibold, J. R.; Czirjak, L.; Steen, V. D.; Inanc, M.; Kowal-Bielecka, O.; Muller-Ladner, U.; Valentini, G.; Veale, D. J.; Vonk, M. C.; Walker, U. A. et al. (2013). "2013 classification criteria for systemic sclerosis: An American college of rheumatology/European league against rheumatism collaborative initiative". Annals of the Rheumatic Diseases 72 (11): 1747–55. doi:10.1136/annrheumdis-2013-204424. PMID 24092682.  edit
  14. ^ Taylor, W. J.; Singh, J. A.; Saag, K. G.; Dalbeth, N.; MacDonald, P. A.; Edwards, N. L.; Simon, L. S.; Stamp, L. K.; Neogi, T.; Gaffo, A. L.; Khanna, P. P.; Becker, M. A.; Schumacher Jr, H. R. (2011). "Bringing It All Together: A Novel Approach to the Development of Response Criteria for Chronic Gout Clinical Trials". The Journal of Rheumatology 38 (7): 1467–1470. doi:10.3899/jrheum.110274. PMID 21724718.  edit
  15. ^ Taylor, W. J.; Brown, M.; Aati, O.; Weatherall, M.; Dalbeth, N. (2013). "Do Patient Preferences for Core Outcome Domains for Chronic Gout Studies Support the Validity of Composite Response Criteria?". Arthritis Care & Research 65 (8): 1259. doi:10.1002/acr.21955.  edit
  16. ^ Smith, K. F.; Fennessy, P. F. (2011). "The use of conjoint analysis to determine the relative importance of specific traits as selection criteria for the improvement of perennial pasture species in Australia". Crop and Pasture Science 62 (4): 355. doi:10.1071/CP10320.  edit
  17. ^ Byrne, T. J.; Amer, P. R.; Fennessy, P. F.; Hansen, P.; Wickham, B. W. (2011). "A preference-based approach to deriving breeding objectives: Applied to sheep breeding". Animal 6 (5): 778–788. doi:10.1017/S1751731111002060. PMID 22558925.  edit
  18. ^ Smith, K. F.; Fennessy, P. F. (2014). "Utilizing Conjoint Analysis to Develop Breeding Objectives for the Improvement of Pasture Species for Contrasting Environments when the Relative Values of Individual Traits Are Difficult to Assess". Sustainable Agriculture Research 3 (2). doi:10.5539/sar.v3n2p44.  edit
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  24. ^ Nicolson, P. J.; French, S. D.; Hinman, R. S.; Hodges, P. W.; Dobson, F. L.; Bennell, K. L. (2014). "Developing key messages for people with osteoarthritis: A delphi study". Osteoarthritis and Cartilage 22: S305. doi:10.1016/j.joca.2014.02.569.  edit
  25. ^ Graff, P.; McIntyre, S. (2014). "Using ecological attributes as criteria for the selection of plant species under three restoration scenarios". Austral Ecology: n/a. doi:10.1111/aec.12156.  edit
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