Data-Driven Modeling of Pregnancy-Related Complications

Prediction of gestational diabetes based on nationwide electronic health records

(2020) Nitzan Shalom Artzi et al.   NATURE MEDICINE

Multiomic immune clockworks of pregnancy

(2020) Laura S. Peterson et al.   Seminars in Immunopathology

Non-invasive characterization of human bone marrow stimulation and reconstitution by cell-free messenger RNA sequencing

(2020) Arkaitz Ibarra et al.   Nature Communications

Steroids, Pregnancy and Fetal Development

(2020) Maria Emilia Solano et al.   Frontiers in Immunology

Heterogeneous Multi-Layered Network Model for Omics Data Integration and Analysis

(2020) Bohyun Lee et al.   Frontiers in Genetics

Beyond mass spectrometry, the next step in proteomics

(2020) Winston Timp et al.   Science Advances

Structural Racism, Historical Redlining, and Risk of Preterm Birth in New York City, 2013–2017

(2020) Nancy Krieger et al.   AMERICAN JOURNAL OF PUBLIC HEALTH

Sleep disturbances and inflammatory gene expression among pregnant women: Differential responses by race

(2020) Judith E. Carroll et al.   BRAIN BEHAVIOR AND IMMUNITY

Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage

(2020) Hasan Rawashdeh et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Early predictors of small‐for‐gestational‐age neonates using non‐invasive, low‐cost, and readily available hematological markers

(2020) Ofir Levy et al.   INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS

EHRs could clarify drug safety in pregnant people

(2020) Anup P. Challa et al.   NATURE MEDICINE

Profile of congenital heart disease in infants born following exposure to preeclampsia

(2020) Christopher S. Yilgwan et al.   PLoS One

Histone deacetylase 1 and 2 drive differentiation and fusion of progenitor cells in human placental trophoblasts

(2020) Gargi Jaju Bhattad et al.   Cell Death & Disease

Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980–2015

(2020) Eva Malacova et al.   Scientific Reports

Multiview learning for understanding functional multiomics

(2020) Nam D. Nguyen et al.   PLoS Computational Biology

Maternal occupational exposure to polycyclic aromatic hydrocarbons and the risk of isolated congenital heart defects among offspring

(2020) Jenil Patel et al.   ENVIRONMENTAL RESEARCH

Change in the Incidence of Stillbirth and Preterm Delivery During the COVID-19 Pandemic

(2020) Asma Khalil et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Prenatal phthalate, paraben, and phenol exposure and childhood allergic and respiratory outcomes: Evaluating exposure to chemical mixtures

(2020) Kimberly Berger et al.   SCIENCE OF THE TOTAL ENVIRONMENT

VoPo leverages cellular heterogeneity for predictive modeling of single-cell data

(2020) Natalie Stanley et al.   Nature Communications

Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study

(2020) Yunzhen Ye et al.   Journal of Diabetes Research

Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort

(2020) Herdiantri Sufriyana et al.   JMIR Medical Informatics

Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study

(2020) Weina Zhang et al.   JMIR Medical Informatics

Association of Air Pollution and Heat Exposure With Preterm Birth, Low Birth Weight, and Stillbirth in the US

(2020) Bruce Bekkar et al.   JAMA Network Open

Periconceptional stressors and social support and risk for adverse birth outcomes

(2020) Kari A. Weber et al.   BMC Pregnancy and Childbirth

Systematic analysis of gut microbiota in pregnant women and its correlations with individual heterogeneity

(2020) Hongling Yang et al.   npj Biofilms and Microbiomes

The contributions of genetics to premature birth

(2019) David K. Stevenson et al.   PEDIATRIC RESEARCH

Integrated RNA-seq and ChIP-seq analysis reveals a feed-forward loop regulating H3K9ac and key labor drivers in human placenta

(2019) Bingbing Wang et al.   PLACENTA

Deep Learning in Medical Ultrasound Analysis: A Review

(2019) Shengfeng Liu et al.   Engineering

Urinary Tract Infections and Preeclampsia among Pregnant Women Attending Two Hospitals in Mwanza City, Tanzania: A 1:2 Matched Case-Control Study

(2019) Joshua Kaduma et al.   Biomed Research International

Pregnancy intervals after stillbirth, neonatal death and spontaneous abortion and the risk of an adverse outcome in the next pregnancy in rural Bangladesh

(2019) Bareng A. S. Nonyane et al.   BMC Pregnancy and Childbirth

Unsupervised classification of multi-omics data during cardiac remodeling using deep learning

(2019) Neo Christopher Chung et al.   METHODS

Cardiovascular Risk Factors in Offspring of Preeclamptic Pregnancies—Systematic Review and Meta-Analysis

(2019) Prabha H. Andraweera et al.   JOURNAL OF PEDIATRICS

Deep learning for time series classification: a review

(2019) Hassan Ismail Fawaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

The importance of proteinuria in preeclampsia and its predictive role in maternal and neonatal outcomes

(2019) Atakan Tanacan et al.   HYPERTENSION IN PREGNANCY

Longitudinal profiling of human blood transcriptome in healthy and lupus pregnancy

(2019) Seunghee Hong et al.   JOURNAL OF EXPERIMENTAL MEDICINE

Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

(2019) Nicole M. Warrington et al.   NATURE GENETICS

The vaginal microbiome and preterm birth

(2019) Jennifer M. Fettweis et al.   NATURE MEDICINE

Deep learning: new computational modelling techniques for genomics

(2019) Gökcen Eraslan et al.   NATURE REVIEWS GENETICS

Identification of earlier predictors of pregnancy complications through wearable technologies in a Brazilian multicentre cohort: Maternal Actigraphy Exploratory Study I (MAES-I) study protocol

(2019) Renato T Souza et al.   BMJ Open

Large-Scale Automatic Feature Selection for Biomarker Discovery in High-Dimensional OMICs Data

(2019) Mickael Leclercq et al.   Frontiers in Genetics

Deep learning with multimodal representation for pancancer prognosis prediction

(2019) Anika Cheerla et al.   BIOINFORMATICS

The prediction of early preeclampsia: Results from a longitudinal proteomics study

(2019) Adi L. Tarca et al.   PLoS One

Differential Dynamics of the Maternal Immune System in Healthy Pregnancy and Preeclampsia

(2019) Xiaoyuan Han et al.   Frontiers in Immunology

Multitask learning and benchmarking with clinical time series data

(2019) Hrayr Harutyunyan et al.   Scientific Data

Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections

(2019) Ross J. Burton et al.   BMC Medical Informatics and Decision Making

Severe Maternal Morbidity Among Stillbirth and Live Birth Deliveries in California

(2019) Elizabeth Wall-Wieler et al.   OBSTETRICS AND GYNECOLOGY

Using graph learning to understand adverse pregnancy outcomes and stress pathways

(2019) Octavio Mesner et al.   PLoS One

Early- and Late-Onset Preeclampsia: A Comprehensive Cohort Study of Laboratory and Clinical Findings according to the New ISHHP Criteria

(2019) Anna Wójtowicz et al.   International Journal of Hypertension

Data‐driven queries between medications and spontaneous preterm birth among 2.5 million pregnancies

(2019) Ivana Marić et al.   Birth Defects Research

A prediction model for short-term neonatal outcomes in severe early-onset fetal growth restriction

(2019) Andrew Sharp et al.   European Journal of Obstetrics & Gynecology and Reproductive Biology

The plasma metabolome of women in early pregnancy differs from that of non-pregnant women

(2019) Samuel K. Handelman et al.   PLoS One

Maternal prenatal stress phenotypes associate with fetal neurodevelopment and birth outcomes

(2019) Kate Walsh et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Maternal anxiety, depression and asthma and adverse pregnancy outcomes – a population based study

(2019) Gustaf Rejnö et al.   Scientific Reports

Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies

(2019) Heeva Baharlou et al.   Frontiers in Immunology

Bayesian indicator variable selection to incorporate hierarchical overlapping group structure in multi-omics applications

(2019) Li Zhu et al.   Annals of Applied Statistics

DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network

(2019) Zhidong Zhao et al.   BMC Medical Informatics and Decision Making

Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoring

(2019) Maria G. Signorini et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Maternal exposure to outdoor air pollution and congenital limb deficiencies in the National Birth Defects Prevention Study

(2019) Giehae Choi et al.   ENVIRONMENTAL RESEARCH

Deep learning predicts extreme preterm birth from electronic health records

(2019) Cheng Gao et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Identification of diagnostic biomarkers in patients with gestational diabetes mellitus based on transcriptome gene expression and methylation correlation analysis

(2019) Enchun Li et al.   Reproductive Biology and Endocrinology

The Cellular Transcriptome in the Maternal Circulation During Normal Pregnancy: A Longitudinal Study

(2019) Nardhy Gomez-Lopez et al.   Frontiers in Immunology

The Unique Microbiome and Innate Immunity During Pregnancy

(2019) Chunlei Mei et al.   Frontiers in Immunology

Personalized Sleep Parameters Estimation from Actigraphy: A Machine Learning Approach

(2019) Aria Khademi et al.   Nature and Science of Sleep

A proteomic clock of human pregnancy

(2018) Nima Aghaeepour et al.   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Long-term cardiovascular consequences of fetal growth restriction: biology, clinical implications, and opportunities for prevention of adult disease

(2018) Fatima Crispi et al.   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Fetal health status prediction based on maternal clinical history using machine learning techniques

(2018) Akhan Akbulut et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

(2018) Henry Friday Nweke et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multimodal Machine Learning: A Survey and Taxonomy

(2018) Tadas Baltrusaitis et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Prediction of preterm birth with and without preeclampsia using mid-pregnancy immune and growth-related molecular factors and maternal characteristics

(2018) Laura L. Jelliffe-Pawlowski et al.   Journal of Perinatology

Deep learning for sensor-based activity recognition: A Survey

(2018) Jindong Wang et al.   PATTERN RECOGNITION LETTERS

Cardiotocography and beyond: a review of one-dimensional Doppler ultrasound application in fetal monitoring

(2018) Faezeh Marzbanrad et al.   PHYSIOLOGICAL MEASUREMENT

Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives

(2018) Sebastian Gehrmann et al.   PLoS One

Genetic and Environmental Influences on Fetal Growth Vary during Sensitive Periods in Pregnancy

(2018) Tsegaselassie Workalemahu et al.   Scientific Reports

A genome-wide association study identifies only two ancestry specific variants associated with spontaneous preterm birth

(2018) Nadav Rappoport et al.   Scientific Reports

Automated Techniques for the Interpretation of Fetal Abnormalities: A Review

(2018) Vidhi Rawat et al.   Applied Bionics and Biomechanics

A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts

(2018) David Westergaard et al.   PLoS Computational Biology

Nutrient intake in women before conception and risks of anophthalmia and microphthalmia in their offspring

(2018) Kari A. Weber et al.   Birth Defects Research

Women's periconceptional diet and risk of biliary atresia in offspring

(2018) Suzan L. Carmichael et al.   Birth Defects Research

Pregnancy Outcomes in Women with Multiple Sclerosis

(2018) Sarah C MacDonald et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Bayesian integrative model for multi-omics data with missingness

(2018) Zhou Fang et al.   BIOINFORMATICS

Metagenomic analysis with strain-level resolution reveals fine-scale variation in the human pregnancy microbiome

(2018) Daniela S. Aliaga Goltsman et al.   GENOME RESEARCH

A Survey of Multi-View Representation Learning

(2018) Yingming Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Quantifying the burden of stillbirths before 28 weeks of completed gestational age in high-income countries: a population-based study of 19 European countries

(2018) Lucy K Smith et al.   LANCET

Deep learning in biomedicine

(2018) Michael Wainberg et al.   NATURE BIOTECHNOLOGY

Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study

(2018) Stefan Kuhle et al.   BMC Pregnancy and Childbirth

Predictive performance of the competing risk model in screening for preeclampsia

(2018) David Wright et al.   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Cross-type biomedical named entity recognition with deep multi-task learning

(2018) Xuan Wang et al.   BIOINFORMATICS

Association of Adverse Pregnancy Outcomes With Self-Reported Measures of Sleep Duration and Timing in Women Who Are Nulliparous

(2018) Francesca L. Facco et al.   Journal of Clinical Sleep Medicine

Understanding health disparities

(2018) David K. Stevenson et al.   Journal of Perinatology

Genetic Variants in Preeclampsia: Lessons From Studies in Latin-American Populations

(2018) Rafael Tomoya Michita et al.   Frontiers in Physiology

Deep Learning-Based Multi-Omics Data Integration Reveals Two Prognostic Subtypes in High-Risk Neuroblastoma

(2018) Li Zhang et al.   Frontiers in Genetics

Multi-view learning overview: Recent progress and new challenges

(2017) Jing Zhao et al.   Information Fusion

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Genetic Associations with Gestational Duration and Spontaneous Preterm Birth

(2017) Ge Zhang et al.   NEW ENGLAND JOURNAL OF MEDICINE

Integrative single-cell and cell-free plasma RNA transcriptomics elucidates placental cellular dynamics

(2017) Jason C. H. Tsang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Electronic Health Record Driven Prediction for Gestational Diabetes Mellitus in Early Pregnancy

(2017) Hang Qiu et al.   Scientific Reports

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

(2017) Benjamin Shickel et al.   IEEE Journal of Biomedical and Health Informatics

Development of A Machine Learning Algorithm to Classify Drugs Of Unknown Fetal Effect

(2017) Mary Regina Boland et al.   Scientific Reports

Placental origins of adverse pregnancy outcomes: potential molecular targets: an Executive Workshop Summary of the Eunice Kennedy Shriver National Institute of Child Health and Human Development

(2016) John V. Ilekis et al.   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Association between vitamin D status and the risk of gestational diabetes mellitus: a meta-analysis

(2016) Min Lu et al.   ARCHIVES OF GYNECOLOGY AND OBSTETRICS

Using insurance claims data to identify and estimate critical periods in pregnancy: An application to antidepressants

(2016) Elizabeth C. Ailes et al.   BIRTH DEFECTS RESEARCH PART A-CLINICAL AND MOLECULAR TERATOLOGY

The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

(2016) Anthony Bagnall et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Metabolomics: beyond biomarkers and towards mechanisms

(2016) Caroline H. Johnson et al.   NATURE REVIEWS MOLECULAR CELL BIOLOGY

Practice Bulletin No. 171

(2016)   OBSTETRICS AND GYNECOLOGY

Effect of maternal stress during pregnancy on the risk for preterm birth

(2016) Caroline Lilliecreutz et al.   BMC Pregnancy and Childbirth

Using insurance claims data to identify and estimate critical periods in pregnancy: An application to antidepressants

(2016) Elizabeth C. Ailes et al.   BIRTH DEFECTS RESEARCH PART A-CLINICAL AND MOLECULAR TERATOLOGY

Effects of Environmental Exposures on Fetal and Childhood Growth Trajectories

(2016) Tongzhang Zheng et al.   Annals of Global Health

Role of the Placental Vitamin D Receptor in Modulating Feto-Placental Growth in Fetal Growth Restriction and Preeclampsia-Affected Pregnancies

(2016) Padma Murthi et al.   Frontiers in Physiology

National, regional, and worldwide estimates of stillbirth rates in 2015, with trends from 2000: a systematic analysis

(2016) Hannah Blencowe et al.   Lancet Global Health

Placental transcriptome in development and pathology: expression, function, and methods of analysis

(2015) Brian Cox et al.   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery

(2015) Graciela H. Gonzalez et al.   BRIEFINGS IN BIOINFORMATICS

A short review of adipokines, smooth muscle and uterine contractility

(2015) Seham AlSaif et al.   LIFE SCIENCES

Semantic human activity recognition: A literature review

(2015) Maryam Ziaeefard et al.   PATTERN RECOGNITION

Sentiment Measured in Hospital Discharge Notes Is Associated with Readmission and Mortality Risk: An Electronic Health Record Study

(2015) Thomas H. McCoy et al.   PLoS One

Pre-eclampsia part 1: current understanding of its pathophysiology

(2014) Tinnakorn Chaiworapongsa et al.   Nature Reviews Nephrology

Association between reduced fetal movements at term and first trimester markers of impaired placental development

(2014) G. Pagani et al.   PLACENTA

Preterm labor: One syndrome, many causes

(2014) R. Romero et al.   SCIENCE

Climate change and the potential effects on maternal and pregnancy outcomes: an assessment of the most vulnerable – the mother, fetus, and newborn child

(2013) Charlotta Rylander et al.   Global Health Action

Mechanisms of implantation: strategies for successful pregnancy

(2012) Jeeyeon Cha et al.   NATURE MEDICINE

Biological Mechanisms for Nutritional Regulation of Maternal Health and Fetal Development

(2012) Guoyao Wu et al.   PAEDIATRIC AND PERINATAL EPIDEMIOLOGY

Daily Sleep and Fatigue Characteristics in Nulliparous Women during the Third Trimester of Pregnancy

(2012) Shao-Yu Tsai et al.   SLEEP

Human activity analysis

(2011) J.K. Aggarwal et al.   ACM COMPUTING SURVEYS

Decision trees: a recent overview

(2011) S. B. Kotsiantis   ARTIFICIAL INTELLIGENCE REVIEW

Causes of Death Among Stillbirths

(2011)   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Small for gestational age (SGA) and fetal growth restriction (FGR)

(2010) Jay D. Iams   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Exploring the risk factors of preterm birth using data mining

(2010) Hsiang-Yang Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Epidemiology and causes of preterm birth

(2008) Robert L Goldenberg et al.   LANCET