An ensemble method for macrosoma prediction Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/g732dc60b

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  • Macrosomia is a medical term describing a new baby born with an excessive birth weight (greater than 4000g). Fetal macrosomia may lead to both pregnancy complications, and increased risk of mother's and baby's health problems after birth. But the potential complications may be mitigated by a cesarean delivery. As such, predicting newborn birth weight becomes a significant public health concern. Researchers have introduced a variety of formulas that can be used to estimate the weight of a fetus based on various sonographic measurements of the fetus. Previous studies have considered using such forumlas to make birth weight prediction based on ultrasound measurements at a single gestational time, or at multiple gestational times. The results vary when using different formulas and there is no clear consensus about which formula is the best to use. To take advantage of the availability of the different formulas and their respective power, we build one mixed-effect linear model using each available formula and then combine their prediction using a stacking model. Our result provides evidence that the ensemble method combining with the mixed-effect linear model can improve the predictive performance.
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  • description.provenance : Made available in DSpace on 2014-03-21T23:43:04Z (GMT). No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) QinLu2014.pdf: 549585 bytes, checksum: 5a4e5e9ea8d732f14b0811b7cdb9c327 (MD5) Previous issue date: 2014-03-12
  • description.provenance : Rejected by Julie Kurtz(julie.kurtz@oregonstate.edu), reason: Rejecting because the page numbers listed in the Table of Contents are different than the actual page number. Chapter 4 indicates page 21 but it's actually page 24. Chapter 5 shows page 29 and is actually 32. Chapter 6 shows page 33 is actually page 37, and Bibliography shows starting on page 34 but it's on page 39. Once revised, log into ScholarsArchive and go to the upload page. Replace the attached file with the revised file and resubmit. Thanks, Julie on 2014-03-21T16:20:41Z (GMT)
  • description.provenance : Submitted by Lu Qin (qin@onid.orst.edu) on 2014-03-20T19:25:25Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) QinLu2014.pdf: 609210 bytes, checksum: 825af5dbef5707804735ed9a5c8f6179 (MD5)
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  • description.provenance : Submitted by Lu Qin (qin@onid.orst.edu) on 2014-03-21T19:19:26Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) QinLu2014.pdf: 549585 bytes, checksum: 5a4e5e9ea8d732f14b0811b7cdb9c327 (MD5)
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2014-03-21T20:24:46Z (GMT) No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) QinLu2014.pdf: 549585 bytes, checksum: 5a4e5e9ea8d732f14b0811b7cdb9c327 (MD5)

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