Step Towards Prediction of Perineal Tear | Zendy

Francisca Fonseca | Zendy; Hugo Peixoto | Zendy; Filipe Miranda | Zendy; José Machado | Zendy; António Abelha | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Step Towards Prediction of Perineal Tear

Author(s) -

Francisca Fonseca,

Hugo Peixoto,

Filipe Miranda,

José Machado,

António Abelha

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.08.284

Subject(s) - computer science , incidence (geometry) , set (abstract data type) , data set , tears , health records , data science , data mining , artificial intelligence , surgery , health care , medicine , physics , optics , economics , programming language , economic growth

The aim of this study is to predict, through data mining tools, the incidence of perineal tear. This kind of laceration developed during child delivery might imply surgery and entails a set of several consequences. Clinical Decision Support Systems, with the information collected from patients’ electronic health records combined with the data mining techniques, may decrease the incidence of perineal tears during labour.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research