Language function following preterm birth: prediction using machine learning

被引:0
|
作者
Evdoxia Valavani
Manuel Blesa
Paola Galdi
Gemma Sullivan
Bethan Dean
Hilary Cruickshank
Magdalena Sitko-Rudnicka
Mark E. Bastin
Richard F. M. Chin
Donald J. MacIntyre
Sue Fletcher-Watson
James P. Boardman
Athanasios Tsanas
机构
[1] University of Edinburgh,Usher Institute, Medical School
[2] University of Edinburgh,MRC Centre for Reproductive Health
[3] Royal Infirmary of Edinburgh,NHS Lothian
[4] Royal Infirmary of Edinburgh,Neonatal Physiotherapy
[5] University of Edinburgh,NHS Lothian
[6] University of Edinburgh,Neonatology
[7] Royal Hospital for Sick Children,Centre for Clinical Brain Sciences
[8] University of Edinburgh,Muir Maxwell Epilepsy Centre, Centre for Clinical Brain Sciences
[9] University of Edinburgh,Division of Psychiatry, Deanery of Clinical Sciences, Royal Edinburgh Hospital
来源
Pediatric Research | 2022年 / 92卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:480 / 489
页数:9
相关论文
共 50 条
  • [31] Prediction of vaginal birth after cesarean deliveries using machine learning
    Lipschuetz, Michal
    Guedalia, Joshua
    Rottenstreich, Amihai
    Persky, Michal Novoselsky
    Cohen, Sarah M.
    Kabiri, Doron
    Levin, Gabriel
    Yagel, Simcha
    Unger, Ron
    Sompolinsky, Yishai
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2020, 222 (06) : 613.e1 - 613.e12
  • [32] Clinical and dental predictors of preterm birth using machine learning methods: the MOHEPI study
    Park, Jung Soo
    Lee, Kwang-Sig
    Heo, Ju Sun
    Ahn, Ki Hoon
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [33] Microbiome preterm birth DREAM challenge Crowdsourcing machine learning approaches to advance preterm birth research
    Golob, Jonathan L.
    Oskotsky, Tomiko T.
    Tang, Alice S.
    Roldan, Alennie
    Chung, Verena
    Ha, Connie W. Y.
    Wong, Ronald J.
    Flynn, Kaitlin J.
    Parraga-Leo, Antonio
    Wibrand, Camilla
    Minot, Samuel S.
    Oskotsky, Boris
    Andreoletti, Gaia
    Kosti, Idit
    Bletz, Julie
    Nelson, Amber
    Gao, Jifan
    Wei, Zhoujingpeng
    Chen, Guanhua
    Tang, Zheng-Zheng
    Novielli, Pierfrancesco
    Romano, Donato
    Pantaleo, Ester
    Amoroso, Nicola
    Monaco, Alfonso
    Vacca, Mirco
    De Angelis, Maria
    Bellotti, Roberto
    Tangaro, Sabina
    Kuntzleman, Abigail
    Bigcraft, Isaac
    Techtmann, Stephen
    Bae, Daehun
    Kim, Eunyoung
    Jeon, Jongbum
    Joe, Soobok
    Theis, Kevin R.
    Ng, Sherriann
    Lee, Yun S.
    Diaz-Gimeno, Patricia
    Bennett, Phillip R.
    MacIntyre, David A.
    Stolovitzky, Gustavo
    Lynch, Susan V.
    Albrecht, Jake
    Gomez-Lopez, Nardhy
    Romero, Roberto
    Stevenson, David K.
    Aghaeepour, Nima
    Tarca, Adi L.
    CELL REPORTS MEDICINE, 2024, 5 (01)
  • [34] Early prediction of mortality and morbidities in VLBW preterm neonates using machine learning
    Shu, Chi-Hung
    Zebda, Rema
    Espinosa, Camilo
    Reiss, Jonathan
    Debuyserie, Anne
    Reber, Kristina
    Aghaeepour, Nima
    Pammi, Mohan
    PEDIATRIC RESEARCH, 2024,
  • [35] Reporting and risk of bias of prediction models based on machine learning methods in preterm birth: A systematic review
    Yang, Qiuyu
    Fan, Xia
    Cao, Xiao
    Hao, Weijie
    Lu, Jiale
    Wei, Jia
    Tian, Jinhui
    Yin, Min
    Ge, Long
    ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA, 2023, 102 (01) : 7 - 14
  • [36] The relationship between maternal environmental temperature exposure and preterm birth: A Risk prediction based on machine learning
    Wang, Yuxiao
    Bi, Xing
    Cheng, Yang
    Du, Yingjie
    Feng, Ling
    Wang, Shaoshuai
    SUSTAINABLE CITIES AND SOCIETY, 2024, 115
  • [37] PREDICTION OF PRETERM BIRTH
    MORTENSEN, OA
    FRANKLIN, J
    LOFSTRAND, T
    SVANBERG, B
    ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA, 1987, 66 (06) : 507 - 512
  • [38] A Machine Learning Approach for an Early Prediction of Preterm Delivery
    Despotovic, Danica
    Zec, Aleksandra
    Mladenovic, Katarina
    Radin, Nevena
    Turukalo, Tatjana Loncar
    2018 IEEE 16TH INTERNATIONAL SYMPOSIUM ON INTELLIGENT SYSTEMS AND INFORMATICS (SISY 2018), 2018, : 265 - 270
  • [39] Deep Learning in Predicting Preterm Birth: A Comparative Study of Machine Learning Algorithms
    Zhang Fangchao
    Tong Lingling
    Shi Chen
    Zuo Rui
    Wang Liwei
    Wang Yan
    母胎医学杂志(英文), 2024, 06 (03)
  • [40] Pulmonary function and structure following mild preterm birth in lambs
    Cock, M
    Hanna, M
    Sozo, F
    Wallace, M
    Yawno, T
    Suzuki, K
    Maritz, G
    Hooper, S
    Harding, R
    PEDIATRIC PULMONOLOGY, 2005, 40 (04) : 336 - 348