Vol. 8, No 4: 118–124.

Medical Sciences

 2023

Scientific article

UDK 618
pdf-version

Bazhena E. Sokolova
medical residency, Petrozavodsk State University
(Petrozavodsk, Russia),
bazhena98@bk.ru

Markup of Medical Texts for Developing a Screening System to Predict the Risk of Fetal Chromosomal Abnormalities

Scientific adviser:
Aleksandr A. Ivshin
Reviewer:
Viktoria A. Korneva
Paper submitted on: 11/09/2023;
Accepted on: 11/28/2023;
Published online on: 12/01/2023.
 Abstract. This article examines various methods for the markup of anonymized clinical data and presents features derived from a medical literature review that can be used to calculate the risk of fetal chromosomal abnormalities. Additionally, the article gives a detailed description of the binary and tagged features and proposes algorithms for performing the markup using Microsoft Excel and Label Studio tool.
Keywords: data markup, tag features, binary features, risk calculation, prognosis, chromosomal abnormalities

For citation: Sokolova, B. E. Markup of Medical Texts for Developing a Screening System to Predict the Risk of Fetal Chromosomal Abnormalities. StudArctic forum. 2023, 8 (4): 118–124.

References

Astrakhantseva M.A., Kiku P.F., et al. Prevention and diagnosis of congenital malformations. Health Сare of the Russian Federation, 2021, Vol. 65, No. 3, pp. 230-236. (In Russ.)

Radzinsky V.E., Orazmuradov A.A., eds. Early pregnancy. From pregravidar preparation to healthy gestation. Moscow, StatusPraesens, 2020, 800 p.

Jamankulova F.S., Musuraliev M.S., et al. Estimation of the risk factors in pregnant women and prediction of congenital fetal anomalies. Kazan Medical Journal, 2018, No. 5, pp. 748-753. (In Russ.)

Alldred S.K., Takwoingi Y., et al. First and second trimester serum tests with and without first trimester ultrasound tests for Down's syndrome screening. Cochrane Database Syst Rev, 2017, No. 3.

García-Pérez L., Linertová R., et al. Cost-effectiveness of cell-free DNA in maternal blood testing for prenatal detection of trisomy 21, 18 and 13: a systematic review. Eur J Health Econ, 2018, No. 7, P. 979-91.

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