A machine learning model for the prediction of down syndrome in second trimester antenatal screening

Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys

(2020) Ramón Ferri-García et al.   PLoS One

Down Syndrome

(2020) Marilyn J. Bull   NEW ENGLAND JOURNAL OF MEDICINE

Machine Learning Algorithms for the Prediction of Central Lymph Node Metastasis in Patients With Papillary Thyroid Cancer

(2020) Yijun Wu et al.   Frontiers in Endocrinology

Machine learning in laboratory medicine: waiting for the flood?

(2018) Federico Cabitza et al.   CLINICAL CHEMISTRY AND LABORATORY MEDICINE

Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome

(2018) Aki Koivu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Two-stage approach for risk estimation of fetal trisomy 21 and other aneuploidies using computational intelligence systems

(2018) A. C. Neocleous et al.   ULTRASOUND IN OBSTETRICS & GYNECOLOGY

Improving the calling of non-invasive prenatal testing on 13-/18-/21-trisomy by support vector machine discrimination

(2018) Jianfeng Yang et al.   PLoS One

Intelligent Noninvasive Diagnosis of Aneuploidy: Raw Values and Highly Imbalanced Dataset

(2017) Andreas C. Neocleous et al.   IEEE Journal of Biomedical and Health Informatics

Machine Learning in Medicine

(2015) R. C. Deo   CIRCULATION

The impact of maternal weight discrepancies on prenatal screening results for Down syndrome

(2013) Tianhua Huang et al.   PRENATAL DIAGNOSIS

The analysis of second-trimester triple screening for Down syndrome in Chinese normal singleton pregnancies

(2012) Xiaohua Wan et al.   SCANDINAVIAN JOURNAL OF CLINICAL & LABORATORY INVESTIGATION