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Machine learning for predicting intraventricular hemorrhage in preterm infants

中国 基督教牧师 医学 大学医院 儿科 中国南方 家庭医学 地理 政治学 考古 法学
作者
Tingting Zhu,Yi Yang,Jun Tang,Tao Xiong
出处
期刊:Journal of Evidence-based Medicine [Wiley]
卷期号:17 (1): 7-9
标识
DOI:10.1111/jebm.12561
摘要

Journal of Evidence-Based MedicineEarly View LETTER Machine learning for predicting intraventricular hemorrhage in preterm infants Tingting Zhu, Tingting Zhu Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, ChinaSearch for more papers by this authorYi Yang, Corresponding Author Yi Yang [email protected] Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, China Department of Pediatric otolaryngology head and neck surgery, West China Second University Hospital, Sichuan University, Chengdu, China Correspondence Yi Yang and Tao Xiong, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China. Email: [email protected]; [email protected]Search for more papers by this authorJun Tang, Jun Tang Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, ChinaSearch for more papers by this authorTao Xiong, Corresponding Author Tao Xiong [email protected] orcid.org/0000-0002-0408-1288 Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, China Correspondence Yi Yang and Tao Xiong, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China. Email: [email protected]; [email protected]Search for more papers by this author Tingting Zhu, Tingting Zhu Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, ChinaSearch for more papers by this authorYi Yang, Corresponding Author Yi Yang [email protected] Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, China Department of Pediatric otolaryngology head and neck surgery, West China Second University Hospital, Sichuan University, Chengdu, China Correspondence Yi Yang and Tao Xiong, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China. Email: [email protected]; [email protected]Search for more papers by this authorJun Tang, Jun Tang Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, ChinaSearch for more papers by this authorTao Xiong, Corresponding Author Tao Xiong [email protected] orcid.org/0000-0002-0408-1288 Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, China Correspondence Yi Yang and Tao Xiong, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China. Email: [email protected]; [email protected]Search for more papers by this author First published: 02 November 2023 https://doi.org/10.1111/jebm.12561Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Supporting Information Filename Description jebm12561-sup-0001-SuppMat.docx435.3 KB Supporting Information Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. REFERENCES 1Rubens CE, Sadovsky Y, Muglia L, Gravett MG, Lackritz E, Gravett C. Prevention of preterm birth: harnessing science to address the global epidemic. Sci Transl Med. 2014; 6(262): sr262–sr265. 10.1126/scitranslmed.3009871 Web of Science®Google Scholar 2Mukerji A, Shah V, Shah PS. Periventricular/intraventricular hemorrhage and neurodevelopmental outcomes: a meta-analysis. Pediatrics. 2015; 136(6): 1132–1143. 10.1542/peds.2015-0944 PubMedWeb of Science®Google Scholar 3Bolisetty S, Dhawan A, Abdel-Latif M, et al. Intraventricular hemorrhage and neurodevelopmental outcomes in extreme preterm infants. Pediatrics. 2014; 133(1): 55–62. 10.1542/peds.2013-0372 PubMedWeb of Science®Google Scholar 4Iyer KK, Roberts JA, Hellström-Westas L, et al. Early detection of preterm intraventricular hemorrhage from clinical electroencephalography. Crit Care Med. 2015; 43(10): 2219–2227. 10.1097/CCM.0000000000001190 PubMedWeb of Science®Google Scholar 5Coskun Y, Isik S, Bayram T, Urgun K, Sakarya S, Akman I. A clinical scoring system to predict the development of intraventricular hemorrhage (IVH) in premature infants. Childs Nerv Syst. 2018; 34(1): 129–136. 10.1007/s00381-017-3610-z PubMedWeb of Science®Google Scholar 6Hannaford KE, Stout MJ, Smyser CD, Mathur A, Cahill AG. Evaluating the sensitivity of electronic fetal monitoring patterns for the prediction of intraventricular hemorrhage. Am J Perinatol. 2016; 33(14): 1420–1425. 10.1055/s-0036-1584140 PubMedWeb of Science®Google Scholar 7Akman İ, Güral N. Pretermde germinal matriksintraventrikülerkanama. Istanbul Univ Vet Fak Derg. 2011; 74: 2. Google Scholar 8Liu G, Xu Yi, Wang X, et al. Developing a machine learning system for identification of severe hand, foot, and mouth disease from electronic medical record data. Sci Rep. 2017; 7(1):16341. 10.1038/s41598-017-16521-z PubMedGoogle Scholar 9Shang W, Huang H, Zhu H, Lin Y, Qu Y, Wang Z. A novel feature selection algorithm for text categorization. Expert Syst Appl. 2007; 33(1): 1–5. 10.1016/j.eswa.2006.04.001 Web of Science®Google Scholar 10Krupenev D, Boyarkin D, Iakubovskii D. Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method. Reliab Eng Syst Saf. 2020; 204(2):107171. 10.1016/j.ress.2020.107171 Google Scholar 11Moon HHo, Lee JJ, Choi SY, et al. A study using a Monte Carlo method of the optimal configuration of a distribution network in terms of power loss sensing. Sensors (Basel). 2011; 11(8): 7823–7834. 10.3390/s110807823 PubMedGoogle Scholar 12Xu C, Bao Y, Zuo J, et al. Maternal chronic hepatitis B virus infection and the risk of preterm birth: a retrospective cohort analysis in Chinese women. J Viral Hepat. 2021; 28(10): 1422–1430. 10.1111/jvh.13585 CASPubMedWeb of Science®Google Scholar 13Dinamene O, Filomena P, Maria do RM, Rita C, Lemuel C, Inês F. A systematic review of the maternal and neonatal complications in hepatitis B infection. J Clin Virol. 2020; 133:104680. 10.1016/j.jcv.2020.104680 PubMedWeb of Science®Google Scholar 14Epstein D, Nasser R, Mashiach T, Azzam ZS, Berger G. Increased red cell distribution width: a novel predictor of adverse outcome in patients hospitalized due to acute exacerbation of chronic obstructive pulmonary disease. Respir Med. 2018; 136: 1–7. 10.1016/j.rmed.2018.01.011 PubMedWeb of Science®Google Scholar 15Wei S, Cui H, Zhang S, Zhang A, Zhang Y, Jiang S. Red blood cell distribution width predicts postoperative death of infective endocarditis. Int Heart J. 2020; 61: 524–530. 10.1536/ihj.19-487 CASPubMedWeb of Science®Google Scholar Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation
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