Scenario violation in nursing activities: Nursing risk management from the viewpoint of chance discovery

Soft Computing

Volumn 11, Issue 8, 2007, Pages 799-809

  Abe, Akinori ^a   Ozaku, Hiromi Itoh ^a   Kuwahara, Noriaki ^a   Kogure, Kiyoshi ^a  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

Abduction; Chance Discovery; Nursing risk management; Scenario; Scenario violation

Indexed keywords

COMPUTER SIMULATION; INFORMATION MANAGEMENT; KNOWLEDGE REPRESENTATION;

CHANCE DISCOVERY; CHRONOLOGICAL INFORMATION; NURSING RISK MANAGEMENT;

RISK MANAGEMENT;

EID: 33947309580     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-006-0122-2     Document Type: Article

References (24)

1. Abe A (2000) Abductive analogical reasoning. Syst and Comput in Japan 31(1): 11-19
2. Abe A (2003) The role of abduction in chance discovery. New Gener Comput 21(1): 61-71
3. Abe A, Kogure K, Hagita N (2004) Determination of a chance in nursing risk management. In: Proceedings. of ECAI2004 workshop on chance discovery, pp 222-231
4. Abe A, Kogure K, Hagita N (2004) Nursing Risk prediction as chance discovery. In: Proceedings of KES2004, vol II, pp 815-822
5. Brusoni V, Console L, Terenziani P, Dupré DT (1997) An efficient algorithm for temporal abduction. In: Proceedings of 5th congress of the Italian association for artificial intelligence, pp 195-206
6. Accident or incident report Database (in Japanese). http://www.hiyari-hatto.jp/
7. Chasen homepage (in Japanese). http://chasen.aist-nara.ac.jp/
8. Failure Knowledge Database (mainly in Japanese). http://shippai.jst.go.jp/
9. Kuwahara N et al (2004) Ubiquitous and wearable sensing for monitoring nurses' activities. In: Proceedings of SCI2004, vol VII, pp 281-285
10. Matsuoka K, Yokoyama S (2002) Analysis of incident data by medical data mining (No. 2) (in Japanese). Med Treat Insp Mach Reag V 25(4): 275-285
11. McBurney P, Parsons S (2003) Chance discovery and scenario analysis. New Gener Comput 21(1): 13-22
12. Naya F et al (2005) Nursing workflow analysis toward automatic classification of nursing work (in Japanese) In: JCMI25, 3-D-2-5
13. Ohsawa Y, Benson NE, Yachida M (1998) KeyGraph: Automatic indexing by co-occurrence graph based on building construction metaphor. In: Proceedings of advanced digital library conference (IEEE ADL'98), pp 12-18
14. Ohsawa Y (2002) Chance discovery for making decisions in complex real world. New Gener Comput 20(2): 143-163
15. Ohsawa Y, Okazaki N, Matsumura N (2003) A scenario development on hapatics B and C. In: Technical report of JSAI, SIG-KBS-A301, pp 177-182
16. Ohsawa Y, Nara Y (2000) Tools for shifting human context into disasters. In: Proceedings of KES2000.
17. Ozaku HI, Sagara k, Naya F, Kuwahara N, Abe A, Kogure K (2005) Building dialogue corpora for nursing activity analysis. In: Proceedings of LINC-2005 Workshop, pp 41-48
18. Ozaku HI, Sagara K, Kuwahara N, Abe A, Kogure K (2006) Nursing spoken corpora for understanding nursing assignments. In: Proceedings of NI2006 (to appear)
19. Ozaku HI, Abe A, Sagara K, Kuwahara N, Kogure K (2006) Features of terminologies in actual nursing activities. In: Proceedings of LREC2006, (to appear)
20. Park K, Hirai H, Ono S, Fujii T, Nishizawa Y (2002) analysis of safety management report by data mining method (in Japanese) In: Proceedings of 22nd JCM, pp 712-713
21. Poole D, Goebel R, Aleliunas R(1987). Theorist: A logical reasoning system for defaults and diagnosis. In: Cercone NJ, McCalla G (eds). The knowledge frontier: Essays in the representation of knowledge. Springer, Berlin Heidelberg Newyork, pp. 331-352
22. Quinlan JR (1993) C4.5: Programs for Machine Learning. Morgan Kaufman
23. Reiter R, de Kleer J (1987) Foundation of assumption-based truth maintenance systems: Preliminary report. In: Proceedings of AAAI87, 183-188
24. Vincent C, Ennis M, Audley RJ ed. (1993) Medical accidents. Oxford University Press, Oxford