Performance Evaluation of Machine Learning Algorithm for Classification of Unintended Pregnancy among Married Women in Bangladesh

Sentinel-2 Satellite Imagery for Urban Land Cover Classification by Optimized Random Forest Classifier

(2021) Tianxiang Zhang et al.   Applied Sciences-Basel

Prevalence of unintended pregnancy and its associated factors: Evidence from six south Asian countries

(2021) Alamgir Sarder et al.   PLoS One

Proposing a machine-learning based method to predict stillbirth before and during delivery and ranking the features: nationwide retrospective cross-sectional study

(2021) Toktam Khatibi et al.   BMC Pregnancy and Childbirth

Predicting women with depressive symptoms postpartum with machine learning methods

(2021) Sam Andersson et al.   Scientific Reports

Using Deep Learning in a Monocentric Study to Characterize Maternal Immune Environment for Predicting Pregnancy Outcomes in the Recurrent Reproductive Failure Patients

(2021) Chunyu Huang et al.   Frontiers in Immunology

Performance Prediction for Higher Education Students Using Deep Learning

(2021) Shuping Li et al.   COMPLEXITY

Machine Learning Algorithms for Predicting Malnutrition among Under-Five Children in Bangladesh

(2020) Ashis Talukder et al.   NUTRITION

Prevalence and determinants of unintended pregnancy in Ethiopia: A systematic review and meta-analysis of observational studies

(2020) Muluneh Alene et al.   PLoS One

Estimating the incidence of unintended births and pregnancies at the sub-state level to inform program design

(2020) Keith Kranker et al.   PLoS One

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

(2020) Lena Davidson et al.   BRIEFINGS IN BIOINFORMATICS

Before the beginning: nutrition and lifestyle in the preconception period and its importance for future health

(2018) Judith Stephenson et al.   LANCET

Global, regional, and subregional trends in unintended pregnancy and its outcomes from 1990 to 2014: estimates from a Bayesian hierarchical model

(2018) Jonathan Bearak et al.   Lancet Global Health

Predictive modeling of schizophrenia from genomic data: Comparison of polygenic risk score with kernel support vector machines approach

(2018) Timothy Vivian-Griffiths et al.   AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS

Prevalence of unintended pregnancy and associated factors among married women in west Belessa Woreda, Northwest Ethiopia, 2016

(2018) Adino Tesfahun Tsegaye et al.   Reproductive Health

An Efficient Elastic Net with Regression Coefficients Method for Variable Selection of Spectrum Data

(2017) Wenya Liu et al.   PLoS One

Exploration of machine learning techniques in predicting multiple sclerosis disease course

(2017) Yijun Zhao et al.   PLoS One

A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification

(2016) Aytuğ Onan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Ensemble of keyword extraction methods and classifiers in text classification

(2016) Aytuğ Onan et al.   EXPERT SYSTEMS WITH APPLICATIONS

An ensemble scheme based on language function analysis and feature engineering for text genre classification

(2016) Aytuğ Onan   JOURNAL OF INFORMATION SCIENCE

Predicting Unwanted Pregnancies among Multiparous Mothers in Khorramabad, Iran

(2016) Farzad Ebrahimzadeh et al.   Iranian Red Crescent Medical Journal

Adverse Consequences of Unintended Pregnancy for Maternal and Child Health in Nepal

(2013) Abhishek Singh et al.   Asia-Pacific Journal of Public Health

Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes

(2010) Wei Yu et al.   BMC Medical Informatics and Decision Making