Multi-modal reasoning in diabetic patient management

Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Alberto Riva; Mario Stefanelli

doi:10.1007/3-540-48720-4_10

Multi-modal reasoning in diabetic patient management

Stefania Montani
, Riccardo Bellazzi
, Luigi Portinale
, Alberto Riva
, Mario Stefanelli

Dipartimento di Scienze e Innovazione Tecnologica

Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

Abstract

We present a decision support tool for Insulin Dependent Diabetes Mellitus management, that relies on the integration of two different methodologies: Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR). This multi-modal reasoning system aims at providing physicians with a suitable solution to the problem of therapy planning by exploiting the strengths of the two selected methods. RBR provides suggestions on the basis of a situation detection mechanism that relies on structured prior knowledge; CBR is used to specialize and dynamically adapt the rules on the basis of the patient's characteristics and of the accumulated experience. Such work will be integrated in the EU funded project T-IDDM architecture, and has been preliminary tested on a set of cases generated by a diabetic patient simulator.

Lingua originale	Inglese
Titolo della pubblicazione ospite	Artificial Intelligence in Medicine - Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999, Proceedings
Editor	Werner Horn, Yuval Shahar, Greger Lindberg, Steen Andreassen, Jeremy Wyatt
Editore	Springer Verlag
Pagine	113-123
Numero di pagine	11
ISBN (stampa)	354066162X, 9783540661627
DOI	https://doi.org/10.1007/3-540-48720-4_10
Stato di pubblicazione	Pubblicato - 1999
Evento	7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999 - Aalborg, Denmark Durata: 20 giu 1999 → 24 giu 1999

Serie di pubblicazioni

Nome	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1620
ISSN (stampa)	0302-9743
ISSN (elettronico)	1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999
Paese/Territorio	Denmark
Città	Aalborg
Periodo	20/06/99 → 24/06/99

OSS delle Nazioni Unite

Questo processo contribuisce al raggiungimento dei seguenti obiettivi di sviluppo sostenibile

SDG 3 Salute e benessere

Accesso al documento

10.1007/3-540-48720-4_10

Altri file e collegamenti

Link to publication in Scopus

Cita questo

Montani, S., Bellazzi, R., Portinale, L., Riva, A., & Stefanelli, M. (1999). Multi-modal reasoning in diabetic patient management. In W. Horn, Y. Shahar, G. Lindberg, S. Andreassen, & J. Wyatt (Edd.), Artificial Intelligence in Medicine - Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999, Proceedings (pagg. 113-123). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1620). Springer Verlag. https://doi.org/10.1007/3-540-48720-4_10

Montani, Stefania ; Bellazzi, Riccardo ; Portinale, Luigi et al. / Multi-modal reasoning in diabetic patient management. Artificial Intelligence in Medicine - Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999, Proceedings. curatore / Werner Horn ; Yuval Shahar ; Greger Lindberg ; Steen Andreassen ; Jeremy Wyatt. Springer Verlag, 1999. pagg. 113-123 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{9e5c6750e0464219922de2c1207b8ada,

title = "Multi-modal reasoning in diabetic patient management",

abstract = "We present a decision support tool for Insulin Dependent Diabetes Mellitus management, that relies on the integration of two different methodologies: Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR). This multi-modal reasoning system aims at providing physicians with a suitable solution to the problem of therapy planning by exploiting the strengths of the two selected methods. RBR provides suggestions on the basis of a situation detection mechanism that relies on structured prior knowledge; CBR is used to specialize and dynamically adapt the rules on the basis of the patient's characteristics and of the accumulated experience. Such work will be integrated in the EU funded project T-IDDM architecture, and has been preliminary tested on a set of cases generated by a diabetic patient simulator.",

author = "Stefania Montani and Riccardo Bellazzi and Luigi Portinale and Alberto Riva and Mario Stefanelli",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.; 7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999 ; Conference date: 20-06-1999 Through 24-06-1999",

year = "1999",

doi = "10.1007/3-540-48720-4\_10",

language = "English",

isbn = "354066162X",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "113--123",

editor = "Werner Horn and Yuval Shahar and Greger Lindberg and Steen Andreassen and Jeremy Wyatt",

booktitle = "Artificial Intelligence in Medicine - Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999, Proceedings",

address = "Germany",

}

Montani, S, Bellazzi, R, Portinale, L, Riva, A & Stefanelli, M 1999, Multi-modal reasoning in diabetic patient management. in W Horn, Y Shahar, G Lindberg, S Andreassen & J Wyatt (edd.), Artificial Intelligence in Medicine - Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1620, Springer Verlag, pagg. 113-123, 7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999, Aalborg, Denmark, 20/06/99. https://doi.org/10.1007/3-540-48720-4_10

Multi-modal reasoning in diabetic patient management. / Montani, Stefania; Bellazzi, Riccardo; Portinale, Luigi et al.
Artificial Intelligence in Medicine - Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999, Proceedings. a cura di / Werner Horn; Yuval Shahar; Greger Lindberg; Steen Andreassen; Jeremy Wyatt. Springer Verlag, 1999. pag. 113-123 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1620).

Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

TY - GEN

T1 - Multi-modal reasoning in diabetic patient management

AU - Montani, Stefania

AU - Bellazzi, Riccardo

AU - Portinale, Luigi

AU - Riva, Alberto

AU - Stefanelli, Mario

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 1999.

PY - 1999

Y1 - 1999

N2 - We present a decision support tool for Insulin Dependent Diabetes Mellitus management, that relies on the integration of two different methodologies: Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR). This multi-modal reasoning system aims at providing physicians with a suitable solution to the problem of therapy planning by exploiting the strengths of the two selected methods. RBR provides suggestions on the basis of a situation detection mechanism that relies on structured prior knowledge; CBR is used to specialize and dynamically adapt the rules on the basis of the patient's characteristics and of the accumulated experience. Such work will be integrated in the EU funded project T-IDDM architecture, and has been preliminary tested on a set of cases generated by a diabetic patient simulator.

AB - We present a decision support tool for Insulin Dependent Diabetes Mellitus management, that relies on the integration of two different methodologies: Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR). This multi-modal reasoning system aims at providing physicians with a suitable solution to the problem of therapy planning by exploiting the strengths of the two selected methods. RBR provides suggestions on the basis of a situation detection mechanism that relies on structured prior knowledge; CBR is used to specialize and dynamically adapt the rules on the basis of the patient's characteristics and of the accumulated experience. Such work will be integrated in the EU funded project T-IDDM architecture, and has been preliminary tested on a set of cases generated by a diabetic patient simulator.

UR - https://www.scopus.com/pages/publications/84956851939

U2 - 10.1007/3-540-48720-4_10

DO - 10.1007/3-540-48720-4_10

M3 - Conference contribution

AN - SCOPUS:84956851939

SN - 354066162X

SN - 9783540661627

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 113

EP - 123

BT - Artificial Intelligence in Medicine - Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999, Proceedings

A2 - Horn, Werner

A2 - Shahar, Yuval

A2 - Lindberg, Greger

A2 - Andreassen, Steen

A2 - Wyatt, Jeremy

PB - Springer Verlag

T2 - 7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999

Y2 - 20 June 1999 through 24 June 1999

ER -

Montani S, Bellazzi R, Portinale L, Riva A, Stefanelli M. Multi-modal reasoning in diabetic patient management. In Horn W, Shahar Y, Lindberg G, Andreassen S, Wyatt J, editor, Artificial Intelligence in Medicine - Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999, Proceedings. Springer Verlag. 1999. pag. 113-123. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-48720-4_10

Multi-modal reasoning in diabetic patient management

Abstract

Serie di pubblicazioni

???event.eventtypes.event.conference???

OSS delle Nazioni Unite

Accesso al documento

Altri file e collegamenti

Fingerprint

Cita questo