Abstract
Fetal growth curves are considered a critical instrument in prenatal medicine for an appropriate fetal well-being evaluation. Many factors affect fetal growth including physiological and pathological variables, therefore each particular population should have its own reference charts in order to provide the most accurate fetal assessment. In literature a large variety of reference charts are described but they’re up to five decades old and consider hospital-based samples, so they’re not suitable for the current population and furthermore they don’t address the ethnicity, which is an important aspect to take into account. Starting from a detailed analysis of the limitations that characterize the current adopted reference charts, the paper presents a new method, based on multidimensional analysis for creating dynamic and customized fetal growth curves. A preliminary implementation based on open source software, shows why Big Data techniques are essential to solve the problem.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Babson, S.G., Benda, G.I.: Growth graphs for the clinical assessment of infants of varying gestational age. J. Pediatr. 89, 814–820 (1976)
Bonellie, S., Chalmers, J., Gray, R., Greer, I., Jarvis, S., Williams, C.: Centile charts for birth-weight for gestational age for Scottish singleton births. BMC Pregnancy Childbirth 8, 5–14 (2008)
Fenton, T.R.: A new growth chart for preterm babies: Babson and Brenda’s chart updated with recent data and a new format. BMC Pediatr. 3, 13–22 (2003)
Gardosi, J., Chang, A., Kalyan, B., Sahota, D., Symonds, E.M.: Customised antenatal growth charts. Lancet 339, 283–287 (1992)
Gardosi, J., Mongelli, M., Wilcox, M., Chang, A.: An adjustable fetal weight standard. Ultrasound Obstet. Gynecol. 6, 168–174 (1995)
Giorlandino, M., Padula, F., Cignini, P., Mastrandrea, M., Vigna, R., Buscicchio, G., Giorlandino, C.: Reference interval for fetal biometry in Italian population. J. Prenat. Med. 3(4), 62–65 (2009)
Golfarelli, M., Rizzi, S.: Data Warehouse - Teoria e pratica della progettazione. McGrowHill (2006)
Groveman, S.A.: New Preterm Infant Growth Curves Influence of Gender and Race on Birth Size. Masters thesis. Biotechnology and Bioscience, Drexel University, Philadelphia, PA (2008)
HL7 Reference Information Model, Health Level Seven, Inc., http://www.hl7.org/v3ballot/html/infrastructure/rim/rim.htm
Lubchenco, L.O., Hansman, C., Boyd, E.: Intrauterine growth in length and head circumference as estimated from live births at gestational ages from 26 to 42 weeks. Pediatrics 37, 403–408 (1966)
Niklasson, A., Albertsson-Wikland, K.: Continuous growth reference from 24th week of gestation to 24 months by gender. BMC Pediatr. 8, 8–32 (2008)
Oken, E., Kleinman, K.P., Rich-Edwards, J., Gillman, M.W.: A nearly continuous measure of birth weight for gestational age using a United States national reference. BMC Pediatr. 3, 6–15 (2003)
Silverston, L.: The Data Model Resource Book, Revised Edition. A Library of Universal Data Models by Industry Types, vol. 2. John Wiley and Sons, New York (2001)
Stonebraker, M.: NoSQL and enterprises. Commun. ACM 54(8), 10–11 (2011)
Thomas, P., Peabody, J., Turnier, V., Clark, R.H.: A new look at intrauterine growth and the impact of race, altitude, and gender. Pediatrics 106(2) (2000), http://www.pediatrics.org/cgi/content/full/106/2/e21
Usher, R., McLean, F.: Intrauterine growth of live-born Caucasian infants at sea level: standards obtained from measurements in 7 dimensions of infants born between 25 and 44 weeks of gestation. J. Pediatr. 74, 901–910 (1969)
Mongelli, M., Gardosi, J.: Longitudinal study of fetal growth in subgroups of a low‐risk population. Ultrasound in Obstetrics & Gynecology 6(5), 340–344 (1995)
Kramer, M.S., Platt, R.W., Wen, S.W., Joseph, K.S., Allen, A., Abrahamowicz, M., Blondel, B., Breart, G.: A new and improved population-based Canadian reference for birth weight for gestational age. Pediatrics 108(2), e35 (2001)
McCowan, L., Stewart, A.W., Francis, A., Gardosi, J.: A customised birthweight centile calculator developed for a New Zealand population. Aust N. Zeal. J. Obstet. Gynaecol. 44(5), 428–431 (2004)
Salomon, L.J., Duyme, M., Crequat, J., Brodaty, G., Talmant, C., Fries, N., Althuser, M.: French fetal biometry: reference equations and comparison with other charts. Ultrasound Obstet. Gynecol. 28(2), 193–198 (2006)
Verburg, B.O., Steegers, E.A., De Ridder, M., Snijders, R.J., Smith, E., Hofman, A., Moll, H.A., Jaddoe, V.W., Witteman, J.C.: New charts for ultrasound dating of pregnancy and assessment of fetal growth: longitudinal data from a population-based cohort study. Ultrasound Obstet. Gynecol. 31(4), 388–396 (2008)
Cordeiro, R.L.F., Traina Jr., C., Traina, A.J.M., Lopez, J., Kang, U., Faloutsos, C.: Clustering very large multi-dimensional datasets with mapreduce. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM (2011)
Laney, D.: 3D data management: Controlling data volume, velocity, and variety. Technical report, META Group (2001)
Garcia-Molina, H., Ullman, J.D., Widom, J.: Database systems: The complete book. Prentice Hall Press, NJ (2008)
Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The Hadoop distributed file system. In: 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), pp. 1–10 (2010)
Han, J., Haihong, E., Le, G., Du, J.: Survey on nosql database. In: 2011 6th International Conference on Pervasive Computing and Applications (ICPCA), pp. 363–366 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Bochicchio, M.A., Longo, A., Vaira, L., Ramazzina, S. (2013). Online Data Analysis of Fetal Growth Curves. In: Aversa, R., Kołodziej, J., Zhang, J., Amato, F., Fortino, G. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2013. Lecture Notes in Computer Science, vol 8286. Springer, Cham. https://doi.org/10.1007/978-3-319-03889-6_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-03889-6_17
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03888-9
Online ISBN: 978-3-319-03889-6
eBook Packages: Computer ScienceComputer Science (R0)