VIRAID: Clinical algorithm Acute Viral Hepatitis generated by MAKEY

VIRAID : Algorithme Clinique Hépatite Virale Aiguë généré par Makey

This clinical algorithm (Cf Publications) has been automatically generated by the software MAKEY. MAKEY has been developed by J. Lebbe, MD, PhD & R. Vignes MD, PhD (Paris VI Univeristy). The knowledge base has been created by SJ. Darmoni, MD, PhD (Rouen University Hospital) et T. Poynard, MD, PhD (Pitie Salpetriere University Hospital).
Last update: December, 17 1997

Cet algorithme clinique (Cf Publications) a été réalisé automatiquement par le logiciel MAKEY (J. Lebbe & R. Vignes, Université Paris VI) à partir d'une base de connaissances réalisée par SJ. Darmoni (CHU de Rouen) et T. Poynard (CHU Pitié Salpétrière).
Dernière mise à jour le : 17 décembre 1997

Email: Stefan.Darmoni@chu-rouen.fr

1:1 (1) IgM anti HAV = positive ==> 2

1:2 (1) IgM anti HAV = negative ==> 7

2:1 (2) Ag HBs = positive ==> 3

2:2 (2) Ag HBs = negative ==> 5

3:1 (3) IgM anti HBc = positive

3:2 (3) IgM anti HBc = negative ==> 4

4:1 (4) AC anti HCV = positive

4:2 (4) AC anti HCV = negative

5:1 (3) AC anti HCV = positive

5:2 (3) AC anti HCV = negative ==> 6

6:1 (4) IgM anti HBc = positive

6:2 (4) IgM anti HBc = negative

7:1 (2) Ag HBs = positive ==> 8

7:2 (2) Ag HBs = negative ==> 29

8:1 (3) IgM anti HBc = positive ==> 9

8:2 (3) IgM anti HBc = negative ==> 12

9:1 (4) AC anti HCV = positive

9:2 (4) AC anti HCV = negative ==> 10

10:1 (5) Ag anti Delta = positive

10:2 (5) Ag anti Delta = negative ==> 11

11:1 (6) IgM anti Delta = positive

11:2 (6) IgM anti Delta = negative

12:1 (4) AC anti HCV = positive ==> 13

12:2 (4) AC anti HCV = negative ==> 15

13:1 (5) Ag anti Delta = positive

13:2 (5) Ag anti Delta = negative ==> 14

14:1 (6) IgM anti Delta = positive

14:2 (6) IgM anti Delta = negative

15:1 (5) Ag anti Delta = positive

15:2 (5) Ag anti Delta = negative ==> 16

16:1 (6) IgM anti Delta = positive ==> 17

16:2 (6) IgM anti Delta = negative ==> 23

17:1 (7) IgG anti EBNA = positive ==> 18

17:2 (7) IgG anti EBNA = negative ==> 20

18:1 (8) IgM anti CMV = positive

18:2 (8) IgM anti CMV = negative ==> 19

19:1 (9) Sensitive markers of C virus (PCR) = positive

19:2 (9) Sensitive markers of C virus (PCR) = negative

20:1 (8) IgM anti VCA = positive

20:2 (8) IgM anti VCA = negative ==> 21

21:1 (9) IgM anti CMV = positive

21:2 (9) IgM anti CMV = negative ==> 22

22:1 (10) Sensitive markers of C virus (PCR) = positive

22:2 (10) Sensitive markers of C virus (PCR) = negative

23:1 (7) IgG anti EBNA = positive ==> 24

23:2 (7) IgG anti EBNA = negative ==> 26

24:1 (8) IgM anti CMV = positive

24:2 (8) IgM anti CMV = negative ==> 25

25:1 (9) Sensitive markers of C virus (PCR) = positive

25:2 (9) Sensitive markers of C virus (PCR) = negative

26:1 (8) IgM anti VCA = positive

26:2 (8) IgM anti VCA = negative ==> 27

27:1 (9) IgM anti CMV = positive

27:2 (9) IgM anti CMV = negative ==> 28

28:1 (10) Sensitive markers of C virus (PCR) = positive

28:2 (10) Sensitive markers of C virus (PCR) = negative

29:1 (3) AC anti HCV = positive ==> 30

29:2 (3) AC anti HCV = negative ==> 37

30:1 (4) IgM anti HBc = positive

30:2 (4) IgM anti HBc = negative ==> 31

31:1 (5) IgG anti EBNA = positive ==> 32

31:2 (5) IgG anti EBNA = negative ==> 34

32:1 (6) IgM anti CMV = positive

32:2 (6) IgM anti CMV = negative ==> 33

33:1 (7) Sensitive markers of C virus (PCR) = positive

33:2 (7) Sensitive markers of C virus (PCR) = negative

34:1 (6) IgM anti VCA = positive

34:2 (6) IgM anti VCA = negative ==> 35

35:1 (7) IgM anti CMV = positive

35:2 (7) IgM anti CMV = negative ==> 36

36:1 (8) Sensitive markers of C virus (PCR) = positive

36:2 (8) Sensitive markers of C virus (PCR) = negative

37:1 (4) IgM anti HBc = positive ==> 38

37:2 (4) IgM anti HBc = negative ==> 39

38:1 (5) Ag anti Delta = positive

38:2 (5) Ag anti Delta = negative

39:1 (5) IgG anti EBNA = positive ==> 40

39:2 (5) IgG anti EBNA = negative ==> 44

40:1 (6) IgM anti CMV = positive

40:2 (6) IgM anti CMV = negative ==> 41

41:1 (7) Sensitive markers of C virus (PCR) = positive

41:2 (7) Sensitive markers of C virus (PCR) = negative ==> 42

42:1 (8) Sensitive markers of B virus (branched DNA, seric DNA, PCR) = positive

42:2 (8) Sensitive markers of B virus (branched DNA, seric DNA, PCR) = negative
==> 43

43:1 (9) Ac anti E = positive

43:2 (9) Ac anti E = negative

44:1 (6) IgM anti VCA = positive

44:2 (6) IgM anti VCA = negative ==> 45

45:1 (7) IgM anti CMV = positive

45:2 (7) IgM anti CMV = negative ==> 46

46:1 (8) Sensitive markers of C virus (PCR) = positive

46:2 (8) Sensitive markers of C virus (PCR) = negative ==> 47

47:1 (9) Sensitive markers of B virus (branched DNA, seric DNA, PCR) = positive

47:2 (9) Sensitive markers of B virus (branched DNA, seric DNA, PCR) = negative ==> 48

48:1 (10) Ac anti E = positive

48:2 (10) Ac anti E = negative























Publications

  • R. VIGNES , SJ. DARMONI, J. LEBBE, T. POYNARD. VIRAID: Web computer-aided serological diagnosis of acute viral hepatitis. Automatic Creation of a clinical algorithm. In: Mednet 97, World Congress of the Internet in Medicine, TN. Arvanatis & D. Watson, ed, p 42 (Brighton, UK, November 1997) [updated version].
  • SJ. DARMONI, J. LEBBE, R. VIGNES, T. POYNARD. Makey: génération automatique d'un algorithme clinique pour aider le diagnostic sérologique de l'hépatite virale aiguë.
    Informatique et Santé 1993; 15: 49-55.
  • SJ. DARMONI, J. LEBBE, R. VIGNES, T. POYNARD. Makey: Automatic generation of a clinical algorithm for the serological diagnosis of acute viral hepatitis.
    In: MEDINFO 92, 7th World Congress on Medical Informatics, Lun KC, Degoulet P, Piemme T & Rienhoff O, (Eds), North Holland, 1992, pp 584 (Genève, Suisse, Septembre 1992).
  • J. LEBBE, R. VIGNES, SJ. DARMONI. Symbolic numeric approach for biological knowledge representation : a medical example with creation of identification graphs.
    In: Data analysis, learning symbolic and numeric knowledge, Ed. Nova Sciences Publishers, 1989, pp 389-398.
  • J. LEBBE, R. VIGNES, SJ. DARMONI. Approche symbolique numérique pour la représentation des connaissances en biologie et la recherche de stratégies d'identification: un exemple d'aide au diagnostic médical.
    Journées Internationales d'Analyse de données. Apprentissage des Connaissances Symboliques et Numériques, Antibes, France, Septembre 1989.
  • SJ. DARMONI, T. POYNARD, M. MEMBRADO, D. PARIGOT, R. VIGNES, J. LEBBE, J.-C. CHAPUT. Diagnostic sérologique de l'hépatite virale aiguë sur micro-ordinateur et sur Minitel.
    In: Systèmes experts en médecine, EC2 Ed., Nanterre, France, 1988, pp 255-267.
  • SJ. DARMONI, R. VIGNES, T. POYNARD, J. LEBBE, J.-C. CHAPUT. Diagnostic sérologique de l'hépatite virale aiguë sur Minitel.
    Systèmes experts et télématique, Paris, France, Janvier 1988, pp 159-167.
  • J. LEBBE, R. VIGNES, SJ. DARMONI. Les objets symboliques qualifiés. Application au domaine médical.
    2èmes Journées de Symbolique-Numérique pour l'Apprentissage de Connaissances à partir de données, Orsay, France, Décembre 1988, pp 127-139.