A Mathematical Model for Interpretable Clinical Decision Support with Applications in Gynecology

↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Search: WFRF:(Bottomley A) > A Mathematical Mode...

Details
MARC

Van Belle, Vanya M. C. A. (author)

A Mathematical Model for Interpretable Clinical Decision Support with Applications in Gynecology

Article/chapterEnglish2012

Publisher, publication year, extent ...

2012-03-29
Public Library of Science (PLoS),2012
electronicrdacarrier

Numbers

LIBRIS-ID:oai:lup.lub.lu.se:949cbfbb-09f9-4b50-9086-161d3b305880
https://lup.lub.lu.se/record/2911709URI
https://doi.org/10.1371/journal.pone.0034312DOI

Supplementary language notes

Language:English
Summary in:English

Part of subdatabase

SwePubSwePub

Classification

Subject category:art swepub-publicationtype
Subject category:ref swepub-contenttype

Notes

Background: Over time, methods for the development of clinical decision support (CDS) systems have evolved from interpretable and easy-to-use scoring systems to very complex and non-interpretable mathematical models. In order to accomplish effective decision support, CDS systems should provide information on how the model arrives at a certain decision. To address the issue of incompatibility between performance, interpretability and applicability of CDS systems, this paper proposes an innovative model structure, automatically leading to interpretable and easily applicable models. The resulting models can be used to guide clinicians when deciding upon the appropriate treatment, estimating patient-specific risks and to improve communication with patients. Methods and Findings: We propose the interval coded scoring (ICS) system, which imposes that the effect of each variable on the estimated risk is constant within consecutive intervals. The number and position of the intervals are automatically obtained by solving an optimization problem, which additionally performs variable selection. The resulting model can be visualised by means of appealing scoring tables and color bars. ICS models can be used within software packages, in smartphone applications, or on paper, which is particularly useful for bedside medicine and home-monitoring. The ICS approach is illustrated on two gynecological problems: diagnosis of malignancy of ovarian tumors using a dataset containing 3,511 patients, and prediction of first trimester viability of pregnancies using a dataset of 1,435 women. Comparison of the performance of the ICS approach with a range of prediction models proposed in the literature illustrates the ability of ICS to combine optimal performance with the interpretability of simple scoring systems. Conclusions: The ICS approach can improve patient-clinician communication and will provide additional insights in the importance and influence of available variables. Future challenges include extensions of the proposed methodology towards automated detection of interaction effects, multi-class decision support systems, prognosis and high-dimensional data.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

Van Calster, Ben (author)
Timmerman, Dirk (author)
Bourne, Tom (author)
Bottomley, Cecilia (author)
Valentin, LilLund University,Lunds universitet,Obstetrisk, gynekologisk och prenatal ultraljudsdiagnostik,Forskargrupper vid Lunds universitet,Obstetric, Gynaecological and Prenatal Ultrasound Research,Lund University Research Groups(Swepub:lu)obst-lva (author)
Neven, Patrick (author)
Van Huffel, Sabine (author)
Suykens, Johan A. K. (author)
Boyd, Stephen (author)
Obstetrisk, gynekologisk och prenatal ultraljudsdiagnostikForskargrupper vid Lunds universitet (creator_code:org_t)

Related titles

In:PLoS ONE: Public Library of Science (PLoS)7:31932-6203

Internet link

Find in a library

PLoS ONE (Search for host publication in LIBRIS)

To the university's database

Find more in SwePub

By the author/editor: Van Belle, Vanya ...; Van Calster, Ben; Timmerman, Dirk; Bourne, Tom; Bottomley, Cecil ...; Valentin, Lil; show more...; Neven, Patrick; Van Huffel, Sabi ...; Suykens, Johan A ...; Boyd, Stephen; show less...

About the subject

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Obstetrics Gynae ...

Articles in the publication: PLoS ONE

By the university: Lund University

Search outside SwePub

Extend your search to:: Google; Google Book Search; Google Scholar

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

LIBRIS.kb.se