Clinical Similarities: An Innovative Approach for Supporting Medical Decisions

M. Vallati, R. Gatta, B. De Bari, S. M. Magrini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Taking decisions in the medical domain is a very complex task. The context is strongly affected by uncertainty and the possible undesired side effects of the treatments have to be carefully considered. Currently, these decisions are based on the physician's own experience and the evidences of the published literature, according, when available, with the philosophy of Evidence Based Medicine. The main issues of this approach are that the own experience can be different, and the results in the literature are sometimes contrasting. For helping physicians while taking medical decisions, we are proposing an innovative approach based on the idea of the clinical similarity. Given a set of clinical variables, the proposed approach selects patients that are similar, presenting to the physician the respective decisions taken and the corresponding clinical effects.

LanguageEnglish
Title of host publicationMEDINFO 2013
Subtitle of host publicationProceedings of the 14th World Congress on Medical and Health Informatics
EditorsChristoph Ulrich Lehmann, Elske Ammenwerth, Christian Nøhr
PublisherIOS Press
Pages1114-1114
Number of pages1
ISBN (Electronic)9781614992899
ISBN (Print)9781614992882
DOIs
Publication statusPublished - 1 Dec 2013
Event14th World Congress on Medical and Health Informatics - Copenhagen, Denmark
Duration: 20 Aug 201323 Aug 2013
Conference number: 14

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS Press
Volume192
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference14th World Congress on Medical and Health Informatics
Abbreviated titleMEDINFO 2013
CountryDenmark
CityCopenhagen
Period20/08/1323/08/13

Fingerprint

Medicine
Physicians
Evidence-Based Medicine
Uncertainty
Therapeutics

Cite this

Vallati, M., Gatta, R., De Bari, B., & Magrini, S. M. (2013). Clinical Similarities: An Innovative Approach for Supporting Medical Decisions. In C. Ulrich Lehmann, E. Ammenwerth, & C. Nøhr (Eds.), MEDINFO 2013: Proceedings of the 14th World Congress on Medical and Health Informatics (pp. 1114-1114). (Studies in Health Technology and Informatics; Vol. 192). IOS Press. https://doi.org/10.3233/978-1-61499-289-9-1114
Vallati, M. ; Gatta, R. ; De Bari, B. ; Magrini, S. M. / Clinical Similarities : An Innovative Approach for Supporting Medical Decisions. MEDINFO 2013: Proceedings of the 14th World Congress on Medical and Health Informatics. editor / Christoph Ulrich Lehmann ; Elske Ammenwerth ; Christian Nøhr. IOS Press, 2013. pp. 1114-1114 (Studies in Health Technology and Informatics).
@inproceedings{52fa31e1b7a44aab92a5cbef7681cfc0,
title = "Clinical Similarities: An Innovative Approach for Supporting Medical Decisions",
abstract = "Taking decisions in the medical domain is a very complex task. The context is strongly affected by uncertainty and the possible undesired side effects of the treatments have to be carefully considered. Currently, these decisions are based on the physician's own experience and the evidences of the published literature, according, when available, with the philosophy of Evidence Based Medicine. The main issues of this approach are that the own experience can be different, and the results in the literature are sometimes contrasting. For helping physicians while taking medical decisions, we are proposing an innovative approach based on the idea of the clinical similarity. Given a set of clinical variables, the proposed approach selects patients that are similar, presenting to the physician the respective decisions taken and the corresponding clinical effects.",
keywords = "Clinical Similarity, Knowledge Representation, Machine Learning",
author = "M. Vallati and R. Gatta and {De Bari}, B. and Magrini, {S. M.}",
year = "2013",
month = "12",
day = "1",
doi = "10.3233/978-1-61499-289-9-1114",
language = "English",
isbn = "9781614992882",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "1114--1114",
editor = "{Ulrich Lehmann}, Christoph and Elske Ammenwerth and Christian N{\o}hr",
booktitle = "MEDINFO 2013",
address = "Netherlands",

}

Vallati, M, Gatta, R, De Bari, B & Magrini, SM 2013, Clinical Similarities: An Innovative Approach for Supporting Medical Decisions. in C Ulrich Lehmann, E Ammenwerth & C Nøhr (eds), MEDINFO 2013: Proceedings of the 14th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 192, IOS Press, pp. 1114-1114, 14th World Congress on Medical and Health Informatics, Copenhagen, Denmark, 20/08/13. https://doi.org/10.3233/978-1-61499-289-9-1114

Clinical Similarities : An Innovative Approach for Supporting Medical Decisions. / Vallati, M.; Gatta, R.; De Bari, B.; Magrini, S. M.

MEDINFO 2013: Proceedings of the 14th World Congress on Medical and Health Informatics. ed. / Christoph Ulrich Lehmann; Elske Ammenwerth; Christian Nøhr. IOS Press, 2013. p. 1114-1114 (Studies in Health Technology and Informatics; Vol. 192).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Clinical Similarities

T2 - An Innovative Approach for Supporting Medical Decisions

AU - Vallati, M.

AU - Gatta, R.

AU - De Bari, B.

AU - Magrini, S. M.

PY - 2013/12/1

Y1 - 2013/12/1

N2 - Taking decisions in the medical domain is a very complex task. The context is strongly affected by uncertainty and the possible undesired side effects of the treatments have to be carefully considered. Currently, these decisions are based on the physician's own experience and the evidences of the published literature, according, when available, with the philosophy of Evidence Based Medicine. The main issues of this approach are that the own experience can be different, and the results in the literature are sometimes contrasting. For helping physicians while taking medical decisions, we are proposing an innovative approach based on the idea of the clinical similarity. Given a set of clinical variables, the proposed approach selects patients that are similar, presenting to the physician the respective decisions taken and the corresponding clinical effects.

AB - Taking decisions in the medical domain is a very complex task. The context is strongly affected by uncertainty and the possible undesired side effects of the treatments have to be carefully considered. Currently, these decisions are based on the physician's own experience and the evidences of the published literature, according, when available, with the philosophy of Evidence Based Medicine. The main issues of this approach are that the own experience can be different, and the results in the literature are sometimes contrasting. For helping physicians while taking medical decisions, we are proposing an innovative approach based on the idea of the clinical similarity. Given a set of clinical variables, the proposed approach selects patients that are similar, presenting to the physician the respective decisions taken and the corresponding clinical effects.

KW - Clinical Similarity

KW - Knowledge Representation

KW - Machine Learning

UR - http://www.scopus.com/inward/record.url?scp=84894383832&partnerID=8YFLogxK

U2 - 10.3233/978-1-61499-289-9-1114

DO - 10.3233/978-1-61499-289-9-1114

M3 - Conference contribution

SN - 9781614992882

T3 - Studies in Health Technology and Informatics

SP - 1114

EP - 1114

BT - MEDINFO 2013

A2 - Ulrich Lehmann, Christoph

A2 - Ammenwerth, Elske

A2 - Nøhr, Christian

PB - IOS Press

ER -

Vallati M, Gatta R, De Bari B, Magrini SM. Clinical Similarities: An Innovative Approach for Supporting Medical Decisions. In Ulrich Lehmann C, Ammenwerth E, Nøhr C, editors, MEDINFO 2013: Proceedings of the 14th World Congress on Medical and Health Informatics. IOS Press. 2013. p. 1114-1114. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-61499-289-9-1114