{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T14:51:04Z","timestamp":1791298264112,"version":"4.1.0"},"reference-count":13,"publisher":"Walter de Gruyter GmbH","license":[{"start":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T00:00:00Z","timestamp":1791331200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"j_jpm-2026-0344_abs_001\">\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To evaluate associations between antenatal fetal biometric and Doppler parameters and neonatal outcomes in late-onset fetal growth restriction (FGR), and to evaluate machine learning models for neonatal outcome prediction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2026-0344_abs_002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This retrospective cohort included 137 singleton pregnancies. Continuous missing values were completed using a single iterative chained-equations procedure. Maternal characteristics, fetal biometric measurements, and Doppler parameters, including umbilical artery pulsatility index (UA-PI), middle cerebral artery pulsatility index (MCA-PI), and cerebroplacental ratio (CPR), were analyzed. Associations with neonatal outcomes were assessed using conventional statistical methods, multivariable regression analyses, and machine learning models with repeated 5-fold cross-validation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2026-0344_abs_003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      NICU admission was associated with higher maternal age and lower gestational age, fetal biometric measurements, estimated fetal weight (EFW), birth weight, Apgar scores, and umbilical cord pH\u00a0after FDR correction. In the final logistic models, maternal age, previous abortions, and EFW predicted NICU admission; previous cesarean delivery predicted transient tachypnea of the newborn; and maternal age and EFW predicted neonatal sepsis. The birth-weight linear model had the highest explanatory power (adjusted R\n                      <jats:sup>2<\/jats:sup>\n                      =0.662). Among machine learning models, birth weight had the best regression performance (cross-validated R\n                      <jats:sup>2<\/jats:sup>\n                      =0.592), and neonatal sepsis had the highest classification AUC (0.850).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2026-0344_abs_004\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In late-onset FGR, fetal biometry, Doppler findings, and maternal characteristics were significantly associated with neonatal outcomes. Machine learning models showed moderate predictive performance and confirmed findings from conventional statistical analyses. These findings should be interpreted in light of the retrospective study design and the lack of external validation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/jpm-2026-0344","type":"journal-article","created":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T13:56:06Z","timestamp":1791294966000},"source":"Crossref","is-referenced-by-count":0,"title":["Conventional statistical and machine learning-based prediction of neonatal outcomes in late-onset fetal growth restriction"],"prefix":"10.1515","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5622-3161","authenticated-orcid":false,"given":"Bilge","family":"Kapudere","sequence":"first","affiliation":[{"name":"Department of Perinatology, Department of Obstetrics and Gynecology , Istanbul Medeniyet University , Istanbul , T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rabia","family":"Ayd\u0131n","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology , Goztepe Prof. Dr. Suleyman Yalcin City Hospital , Istanbul , T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00d6mer","family":"Ayd\u0131n","sequence":"additional","affiliation":[{"name":"Independent Researcher , Istanbul , Turkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erg\u00fcl","family":"Demir\u00e7ivi","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology , Istanbul Medeniyet University , Istanbul , T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reyhan","family":"Ayaz","sequence":"additional","affiliation":[{"name":"Department of Perinatology, Department of Obstetrics and Gynecology , Istanbul Medeniyet University , Istanbul , T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanne Bulat","family":"\u00c7im","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology , Goztepe Prof. Dr. Suleyman Yalcin City Hospital , Istanbul , T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Canan Sat\u0131r","family":"\u00d6zel","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology , Istanbul Medeniyet University , Istanbul , T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdulkadir","family":"Turgut","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology , Istanbul Medeniyet University , Istanbul , T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2026,10,7]]},"reference":[{"key":"2026100613555813707_j_jpm-2026-0344_ref_001","doi-asserted-by":"crossref","unstructured":"Figueras, F, Gratac\u00f3s, E. Update on the diagnosis and classification of fetal growth restriction and proposal of a stage-based management protocol. Fetal Diagn Ther 2014;36:86\u201398. https:\/\/doi.org\/10.1159\/000357592.","DOI":"10.1159\/000357592"},{"key":"2026100613555813707_j_jpm-2026-0344_ref_002","doi-asserted-by":"crossref","unstructured":"Baschat, AA. Fetal growth restriction\u00a0\u2013\u00a0from observation to intervention. J\u00a0Perinat Med 2010;38:239\u201346. https:\/\/doi.org\/10.1515\/jpm.2010.041.","DOI":"10.1515\/jpm.2010.041"},{"key":"2026100613555813707_j_jpm-2026-0344_ref_003","doi-asserted-by":"crossref","unstructured":"Gordijn, SJ, Beune, IM, Thilaganathan, B, Papageorghiou, A, Baschat, AA, Baker, PN, et al.. Consensus definition of fetal growth restriction: a Delphi procedure. 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