Functional linear discriminant analysis: a new longitudinal approach to the assessment of embryonic growth | Zendy

Cecilia Bottomley | Zendy; Anneleen Daemen | Zendy; F. Mukri | Zendy; Aris T. Papageorghiou | Zendy; E. Kirk | Zendy; A. Pexsters | Zendy; Bart De Moor | Zendy; D. Timmerman | Zendy; T. Bourne | Zendy

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Functional linear discriminant analysis: a new longitudinal approach to the assessment of embryonic growth

Author(s) -

Cecilia Bottomley,

Anneleen Daemen,

F. Mukri,

Aris T. Papageorghiou,

E. Kirk,

A. Pexsters,

Bart De Moor,

D. Timmerman,

T. Bourne

Publication year - 2008

Publication title -

human reproduction

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.446

H-Index - 226

eISSN - 1460-2350

pISSN - 0268-1161

DOI - 10.1093/humrep/den382

Subject(s) - miscarriage , linear discriminant analysis , medicine , gynecology , yolk sac , predictive value of tests , predictive value , prospective cohort study , pregnancy , obstetrics , biology , surgery , pathology , statistics , mathematics , embryo , genetics , microbiology and biotechnology

Functional linear discriminant analysis (FLDA) is a new growth assessment technique using serial measurements to discriminate between normal and abnormal fetal growth. We used FLDA to assess and compare growth in live pregnancies destined to miscarry with those remaining viable.

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