Developing Prediction Models for Large for Gestational Age Infants Using Ethnically Diverse Data
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[1] Suzhen Wang,et al. Ensemble Learning to Improve the Prediction of Fetal Macrosomia and Large-for-Gestational Age , 2020, Journal of clinical medicine.
[2] P. Raynor,et al. Born in Bradford, a cohort study of babies born in Bradford, and their parents: Protocol for the recruitment phase , 2008, BMC public health.
[3] Azhar Imran,et al. Monitoring Bio-Chemical Indicators Using Machine Learning Techniques for an Effective Large for Gestational Age Prediction Model with Reduced Computational Overhead , 2018 .
[4] Arri Coomarasamy,et al. Accuracy of ultrasound biometry in the prediction of macrosomia: a systematic quantitative review , 2005, BJOG : an international journal of obstetrics and gynaecology.
[5] H. Yasunaga,et al. Predictive model for macrosomia using maternal parameters without sonography information , 2018, The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians.
[6] Debbie A Lawlor,et al. Cohort Profile: the Born in Bradford multi-ethnic family cohort study. , 2013, International journal of epidemiology.
[7] Lorenzo Beretta,et al. Nearest neighbor imputation algorithms: a critical evaluation , 2016, BMC Medical Informatics and Decision Making.
[8] K. S. Joseph,et al. Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study , 2018, BMC Pregnancy and Childbirth.
[9] Jianqiang Li,et al. Effective large for gestational age prediction using machine learning techniques with monitoring biochemical indicators , 2019, The Journal of Supercomputing.
[10] Rok Blagus,et al. Joint use of over- and under-sampling techniques and cross-validation for the development and assessment of prediction models , 2015, BMC Bioinformatics.
[11] G. Alexander,et al. Macrosomic births in the united states: determinants, outcomes, and proposed grades of risk. , 2003, American journal of obstetrics and gynecology.
[12] D. Lawlor,et al. UK-born Pakistani-origin infants are relatively more adipose than white British infants: findings from 8704 mother-offspring pairs in the Born-in-Bradford prospective birth cohort , 2013, Journal of Epidemiology & Community Health.
[13] Ioannis Korkontzelos,et al. Efficient treatment of outliers and class imbalance for diabetes prediction , 2020, Artif. Intell. Medicine.
[14] C. Olsen,et al. Percentage Change in Antenatal Body Mass Index as a Predictor of Neonatal Macrosomia , 2008, The Annals of Family Medicine.
[15] Pei,et al. Diagnosis and Prediction of Large-For-Gestational-Age Fetus Using the Stacked GeneralizationMethod , 2019, Applied Sciences.