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Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data

Truyen Tran, Wei Luo, Dinh Q. Phung, Jonathan Morris, Kristen Rickard, Svetha Venkatesh
2016 Machine Learning in Health Care  
We aims are twofold: (i) to derive an easy-to-use, interpretable prediction rule with quantified uncertainties, and (ii) to construct accurate classifiers for preterm birth prediction.  ...  Derived from a large database of 15,814 women, our simplified prediction rule with only 10 items has sensitivity of 62.3% at specificity of 81.5%. * .  ...  Discussion and Related Work We have presented methods for predicting preterm births from high-dimensional observational databases.  ... 
dblp:conf/mlhc/TranLPMRV16 fatcat:qmojonxei5evxafd27yrdu4ctq

Preterm Birth Prediction: Deriving Stable and Interpretable Rules from High Dimensional Data [article]

Truyen Tran, Wei Luo, Dinh Phung, Jonathan Morris, Kristen Rickard, Svetha Venkatesh
2016 arXiv   pre-print
We aims are twofold: (i) to derive an easy-to-use, interpretable prediction rule with quantified uncertainties, and (ii) to construct accurate classifiers for preterm birth prediction.  ...  Derived from a large database of 15,814 women, our simplified prediction rule with only 10 items has sensitivity of 62.3% at specificity of 81.5%.  ...  Discussion and Related Work We have presented methods for predicting preterm births from high-dimensional observational databases.  ... 
arXiv:1607.08310v1 fatcat:f6hhjfjyjndu5n3at6kqfc5yze

Strategies in the Prevention of Preterm Births During and Before Pregnancy [chapter]

Wolf Kirschner, Klaus Friese
2012 Preterm Birth - Mother and Child  
Additionally, the overall rate of preterm births in the study appears very low which may result from selection.  ...  Nonetheless, epidemiology of preterm birth has identified a stable set of risk and protective factors associated with preterm birth.  ... 
doi:10.5772/28484 fatcat:qvubph4i4vextd2rh7lwfex7ru

Preterm Birth Analysis Using Nonlinear Methods (a preliminary study) [article]

Tijana T. Ivancevic, Lakhmi C. Jain, John Pattison, Alex Hariz
2008 arXiv   pre-print
This information can be used both for the preterm birth prediction and the preterm labor control. Keywords: preterm birth, complex data analysis, nonlinear methods  ...  In this report we review modern nonlinearity methods that can be used in the preterm birth analysis.  ...  To give a simple example: Consider motion of a high-dimensional system on a stable limit cycle.  ... 
arXiv:0807.4279v1 fatcat:tous7hhvzjegzg6dtyswjcyuwu

Maternal Postsecondary Education Associated With Improved Cerebellar Growth After Preterm Birth

Mikaela L. Stiver, Daphne Kamino, Ting Guo, Angela Thompson, Emma G. Duerden, Margot J. Taylor, Emily W.Y. Tam
2015 Journal of Child Neurology  
Although preterm birth has been found to be associated with smaller cerebellar volumes at term, maternal postsecondary education is associated with improved growth detectable by 2 years.  ...  The preterm cerebellum is vulnerable to impaired development impacting long-term outcome. Preterm newborns (<32 weeks) underwent serial magnetic resonance imaging (MRI) scans.  ...  Ethical Approval This study was approved by the Research Ethics Board (approval number 1000038183) at the Hospital for Sick Children, and all infants were enrolled after informed consent was obtained from  ... 
doi:10.1177/0883073815576790 pmid:25818328 fatcat:eski5535tfekxisllycirrypxa

Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women

Paul Fergus, Aday Montanez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers, Beth Pineles
2018 IEEE/ACM Transactions on Computational Biology & Bioinformatics  
We focus on the challenging problem of classifying preterm births.  ...  Latent representations from original SNP sequences are used to initialize a deep learning classifier before it is fine-tuned for classification tasks (term and preterm births).  ...  CONCLUSION We present a novel framework for the classification of preterm birth from GWAS case-control data.  ... 
doi:10.1109/tcbb.2018.2868667 pmid:30183645 fatcat:axzdalw5mnempkyvp43uuviune

Predicting healthcare outcomes in prematurely born infants using cluster analysis

Victoria MacBean, Alan Lunt, Simon B. Drysdale, Muska N. Yarzi, Gerrard F. Rafferty, Anne Greenough
2018 Pediatric Pulmonology  
Running head: Cluster analysis and outcomes after preterm birth 3 ABSTRACT Aims: Prematurely born infants are at high risk of respiratory morbidity following neonatal unit discharge, though prediction  ...  of outcomes is challenging.  ...  Professor Greenough is currently receiving a non-conditional educational grant from SLE.  ... 
doi:10.1002/ppul.24050 pmid:29790677 fatcat:ihtenvsewvhkpluh22pmf4jdja

Survey of Classification Based Prediction Techniques in Healthcare

Sujata Joshi, Mydhili K. Nair
2018 Indian Journal of Science and Technology  
Feature selection techniques have been applied to extract relevant features required for the purpose of prediction.  ...  A few researchers also have used support vector machines, genetic algorithm and decision rules for prediction.  ...  Results Evaluate factors for preterm birth 40 Exploratory factor analysis TMR- Duke University Medical Centre - 20000 records Pregnancy 3 Factors responsible for preterm birth were identified  ... 
doi:10.17485/ijst/2018/v11i15/121111 fatcat:ddnwjmjwu5dfjjegqxozzrfnxa

Using "Omics" to Discover Predictive Biomarkers in Women at High Risk of Spontaneous Preterm Birth

Angharad Care
Lastly, I investigated if there are distinct differences in biomarkers between PPROM and sPTB subgroups of spontaneous preterm birth.  ...  Data from each omics discipline was combined together in a single data matrix and machine learning analyses applied.  ...  ACKNOWLEDGEMENTS It would not have been possible for me to write this thesis without the generous support of Lord and Lady Harris and the Wellbeing of Women charity who provided the funding for my clinical  ... 
doi:10.17638/03116086 fatcat:fulrovnsdjb6biodfpc7qojqr4

Human body-fluid proteome: quantitative profiling and computational prediction

2019 Briefings in Bioinformatics  
Empowered by the advancement of high-throughput bio technologies, recent research on body-fluid proteomes has led to the discoveries of numerous novel disease biomarkers and therapeutic drugs.  ...  In this article, we first summarized the experimental progresses using a combination of conventional and high-throughput technologies, along with the major discoveries, and focused on current research  ...  Acknowledgements We thank all members of Key laboratory of Symbol Computation and Knowledge Engineering or their helpful discussion and comments.  ... 
doi:10.1093/bib/bbz160 pmid:32020158 pmcid:PMC7820883 fatcat:ax36yvnldzahvaejcnrjmzkrom

Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning

Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen
2019 IEEE Transactions on Medical Imaging  
The latent representation explores the complementarity across different time-points and improves the accuracy of prediction.  ...  Our approach regards data from different time-points as different views and constructs a latent representation to capture the complementary information from incomplete time-points.  ...  Acknowledgements This work was supported in part by the National Natural Science Foundation of China under Grant 61602337.  ... 
doi:10.1109/tmi.2018.2874964 pmid:30307859 pmcid:PMC6450718 fatcat:uat2duyf25ajdnlblshteosfdq

Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes

Lena Davidson, Mary Regina Boland
2021 Briefings in Bioinformatics  
20); and preterm birth (n = 13).  ...  We identified 127 distinct studies from our queries that were relevant to our topic and included in the review.  ...  different anatomical locations from 7 women of different obstetric backgrounds Health issue Fetal health Fetal health Preterm birth prediction Preterm birth prediction Preterm birth preventive measures  ... 
doi:10.1093/bib/bbaa369 pmid:33406530 pmcid:PMC8424395 fatcat:rgsf4pdmbvdcdmcwz4zf3hwaca

PREDICT-CP: study protocol of implementation of comprehensive surveillance to predict outcomes for school-aged children with cerebral palsy

Roslyn N Boyd, Peter SW Davies, Jenny Ziviani, Stewart Trost, Lee Barber, Robert Ware, Stephen Rose, Koa Whittingham, Leanne Sakzewski, Kristie Bell, Christopher Carty, Steven Obst (+20 others)
2017 BMJ Open  
As CP remains the most common childhood physical disability with high lifetime costs, models to predict outcomes and costs of care will inform health provision, social care and tailor data for national  ...  The PPQ's visual analogue scale for pain rating provides a valid and stable measure of pain intensity in children and adolescents with chronic musculoskeletal pain. 109 Three-dimensional gait analysis  ... 
doi:10.1136/bmjopen-2016-014950 pmid:28706091 pmcid:PMC5734266 fatcat:odyv3gk2e5dmzphzuggto6ym4m

Methods of prediction and prevention of pre-eclampsia: systematic reviews of accuracy and effectiveness literature with economic modelling

C Meads, J Cnossen, S Meher, A Juarez-Garcia, G ter Riet, L Duley, T Roberts, B Mol, J van der Post, M Leeflang, P Barton, C Hyde (+2 others)
2008 Health Technology Assessment  
For European countries the cost is £2 per monograph and for the rest of the world £3 per monograph.  ...  You can order HTA monographs from our Despatch Agents: -fax (with credit card or official purchase order) -post (with credit card or official purchase order or cheque) -phone during office hours (credit  ...  Severity of preterm birth: very preterm birth (before 33 completed weeks) and extremely preterm birth (before 27 completed weeks). 6.  ... 
doi:10.3310/hta12060 pmid:18331705 fatcat:nirdyvdpf5awtdt2uwtzsqijnu

Non-invasive Metabolomic Profiling of Embryo Culture Medium Using Raman Spectroscopy With Deep Learning Model Predicts the Blastocyst Development Potential of Embryos

Wei Zheng, Shuoping Zhang, Yifan Gu, Fei Gong, Lingyin Kong, Guangxiu Lu, Ge Lin, Bo Liang, Liang Hu
2021 Frontiers in Physiology  
The full-spectrum data for 80 blastula and 48 non-blastula samples with known blastocyst development potential from 34 patients were collected for this study.Results: The accuracy of the predicting method  ...  Purpose: This study aimed to establish a non-invasive predicting model via Raman spectroscopy for evaluating the blastocyst development potential of day 3 high-quality cleavage stage embryos.Methods: Raman  ...  In conventional ART treatments, multiple–cleavage stage embryos were transferred together to increase the live birth rate, which, at the same time, increases the risks of preterm delivery, low birth weight  ... 
doi:10.3389/fphys.2021.777259 pmid:34867485 pmcid:PMC8640355 fatcat:ulahhgnzx5a4pd3c376ngry7v4
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