相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoring
Maria G. Signorini et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Prediction of gestational diabetes based on nationwide electronic health records
Nitzan Shalom Artzi et al.
NATURE MEDICINE (2020)
Multiomic immune clockworks of pregnancy
Laura S. Peterson et al.
SEMINARS IN IMMUNOPATHOLOGY (2020)
Non-invasive characterization of human bone marrow stimulation and reconstitution by cell-free messenger RNA sequencing
Arkaitz Ibarra et al.
NATURE COMMUNICATIONS (2020)
Beyond mass spectrometry, the next step in proteomics
Winston Timp et al.
SCIENCE ADVANCES (2020)
Structural Racism, Historical Redlining, and Risk of Preterm Birth in New York City, 2013-2017
Nancy Krieger et al.
AMERICAN JOURNAL OF PUBLIC HEALTH (2020)
Sleep disturbances and inflammatory gene expression among pregnant women: Differential responses by race
Judith E. Carroll et al.
BRAIN BEHAVIOR AND IMMUNITY (2020)
Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage
Hasan Rawashdeh et al.
COMPUTATIONAL BIOLOGY AND CHEMISTRY (2020)
Early predictors of small-for-gestational-age neonates using non-invasive, low-cost, and readily available hematological markers
Ofir Levy et al.
INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS (2020)
Steroids, Pregnancy and Fetal Development
Maria Emilia Solano et al.
FRONTIERS IN IMMUNOLOGY (2020)
Heterogeneous Multi-Layered Network Model for Omics Data Integration and Analysis
Bohyun Lee et al.
FRONTIERS IN GENETICS (2020)
Profile of congenital heart disease in infants born following exposure to preeclampsia
Christopher S. Yilgwan et al.
PLOS ONE (2020)
Histone deacetylase 1 and 2 drive differentiation and fusion of progenitor cells in human placental trophoblasts
Gargi Jaju Bhattad et al.
CELL DEATH & DISEASE (2020)
Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980-2015
Eva Malacova et al.
SCIENTIFIC REPORTS (2020)
Multiview learning for understanding functional multiomics
Nam D. Nguyen et al.
PLoS Computational Biology (2020)
EHRs could clarify drug safety in pregnant people
Anup P. Challa et al.
NATURE MEDICINE (2020)
Maternal occupational exposure to polycyclic aromatic hydrocarbons and the risk of isolated congenital heart defects among offspring
Jenil Patel et al.
ENVIRONMENTAL RESEARCH (2020)
Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study
Yunzhen Ye et al.
JOURNAL OF DIABETES RESEARCH (2020)
Change in the Incidence of Stillbirth and Preterm Delivery During the COVID-19 Pandemic
Asma Khalil et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2020)
Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort
Herdiantri Sufriyana et al.
JMIR MEDICAL INFORMATICS (2020)
Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study
Weina Zhang et al.
JMIR MEDICAL INFORMATICS (2020)
Association of Air Pollution and Heat Exposure With Preterm Birth, Low Birth Weight, and Stillbirth in the US A Systematic Review
Bruce Bekkar et al.
JAMA NETWORK OPEN (2020)
Prenatal phthalate, paraben, and phenol exposure and childhood allergic and respiratory outcomes: Evaluating exposure to chemical mixtures
Kimberly Berger et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
Natalie Stanley et al.
NATURE COMMUNICATIONS (2020)
Periconceptional stressors and social support and risk for adverse birth outcomes
Kari A. Weber et al.
BMC PREGNANCY AND CHILDBIRTH (2020)
Systematic analysis of gut microbiota in pregnant women and its correlations with individual heterogeneity
Hongling Yang et al.
NPJ BIOFILMS AND MICROBIOMES (2020)
Effects of psychological stress on adverse pregnancy outcomes and nonpharmacologic approaches for reduction: an expert review
Claire S. Traylor et al.
AMERICAN JOURNAL OF OBSTETRICS & GYNECOLOGY MFM (2020)
Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions
Anthony Culos et al.
NATURE MACHINE INTELLIGENCE (2020)
Gestational Hypertension and Preeclampsia
Jimmy Espinoza et al.
OBSTETRICS AND GYNECOLOGY (2020)
Early prediction of preeclampsia via machine learning
Ivana Maric et al.
AMERICAN JOURNAL OF OBSTETRICS & GYNECOLOGY MFM (2020)
Predicting risk of stillbirth and preterm pregnancies with machine learning
Aki Koivu et al.
HEALTH INFORMATION SCIENCE AND SYSTEMS (2020)
Sentiment Analysis in Health and Well-Being: Systematic Review
Anastazia Zunic et al.
JMIR MEDICAL INFORMATICS (2020)
Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy
Mohammad Sajjad Ghaemi et al.
BIOINFORMATICS (2019)
Multimodal Machine Learning: A Survey and Taxonomy
Tadas Baltrusaitis et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)
Deep learning for sensor-based activity recognition: A survey
Jindong Wang et al.
PATTERN RECOGNITION LETTERS (2019)
Pregnancy Outcomes in Women With Multiple Sclerosis
Sarah C. MacDonald et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2019)
A Survey of Multi-View Representation Learning
Yingming Li et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2019)
Deep learning for time series classification: a review
Hassan Ismail Fawaz et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2019)
Cardiovascular Risk Factors in Offspring of Preeclamptic Pregnancies-Systematic Review and Meta-Analysis
Prabha H. Andraweera et al.
JOURNAL OF PEDIATRICS (2019)
Unsupervised classification of multi-omics data during cardiac remodeling using deep learning
Neo Christopher Chung et al.
METHODS (2019)
Pregnancy intervals after stillbirth, neonatal death and spontaneous abortion and the risk of an adverse outcome in the next pregnancy in rural Bangladesh
Bareng A. S. Nonyane et al.
BMC PREGNANCY AND CHILDBIRTH (2019)
Urinary Tract Infections and Preeclampsia among Pregnant Women Attending Two Hospitals in Mwanza City, Tanzania: A 1:2 Matched Case-Control Study
Joshua Kaduma et al.
BIOMED RESEARCH INTERNATIONAL (2019)
Deep Learning in Medical Ultrasound Analysis: A Review
Shengfeng Liu et al.
ENGINEERING (2019)
The importance of proteinuria in preeclampsia and its predictive role in maternal and neonatal outcomes
Atakan Tanacan et al.
HYPERTENSION IN PREGNANCY (2019)
Longitudinal profiling of human blood transcriptome in healthy and lupus pregnancy
Seunghee Hong et al.
JOURNAL OF EXPERIMENTAL MEDICINE (2019)
Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors
Nicole M. Warrington et al.
NATURE GENETICS (2019)
The vaginal microbiome and preterm birth
Jennifer M. Fettweis et al.
NATURE MEDICINE (2019)
Deep learning: new computational modelling techniques for genomics
Gokcen Eraslan et al.
NATURE REVIEWS GENETICS (2019)
Identification of earlier predictors of pregnancy complications through wearable technologies in a Brazilian multicentre cohort: Maternal Actigraphy Exploratory Study I (MAES-I) study protocol
Renato T. Souza et al.
BMJ OPEN (2019)
Large-Scale Automatic Feature Selection for Biomarker Discovery in High-Dimensional OMICs Data
Mickael Leclercq et al.
FRONTIERS IN GENETICS (2019)
Deep learning with multimodal representation for pancancer prognosis prediction
Anika Cheerla et al.
BIOINFORMATICS (2019)
The prediction of early preeclampsia: Results from a longitudinal proteomics study
Adi L. Tarca et al.
PLOS ONE (2019)
Differential Dynamics of the Maternal Immune System in Healthy Pregnancy and Preeclampsia
Xiaoyuan Han et al.
FRONTIERS IN IMMUNOLOGY (2019)
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan et al.
SCIENTIFIC DATA (2019)
Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections
Ross J. Burton et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2019)
Severe Maternal Morbidity Among Stillbirth and Live Birth Deliveries in California
Elizabeth Wall-Wieler et al.
OBSTETRICS AND GYNECOLOGY (2019)
Using graph learning to understand adverse pregnancy outcomes and stress pathways
Octavio Mesner et al.
PLOS ONE (2019)
Early- and Late-Onset Preeclampsia: A Comprehensive Cohort Study of Laboratory and Clinical Findings according to the New ISHHP Criteria
Anna Wojtowicz et al.
INTERNATIONAL JOURNAL OF HYPERTENSION (2019)
Data-driven queries between medications and spontaneous preterm birth among 2.5 million pregnancies
Ivana Maric et al.
BIRTH DEFECTS RESEARCH (2019)
A prediction model for short-term neonatal outcomes in severe early-onset fetal growth restriction
Andrew Sharp et al.
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY (2019)
The plasma metabolome of women in early pregnancy differs from that of non-pregnant women
Samuel K. Handelman et al.
PLOS ONE (2019)
Maternal prenatal stress phenotypes associate with fetal neurodevelopment and birth outcomes
Kate Walsh et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)
Maternal anxiety, depression and asthma and adverse pregnancy outcomes - a population based study
Gustaf Rejno et al.
SCIENTIFIC REPORTS (2019)
Predictive performance of the competing risk model in screening for preeclampsia
David Wright et al.
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY (2019)
Mass Cytometry Imaging for the Study of Human Diseases-Applications and Data Analysis Strategies
Heeva Baharlou et al.
FRONTIERS IN IMMUNOLOGY (2019)
Cross-type biomedical named entity recognition with deep multi-task learning
Xuan Wang et al.
BIOINFORMATICS (2019)
BAYESIAN INDICATOR VARIABLE SELECTION TO INCORPORATE HIERARCHICAL OVERLAPPING GROUP STRUCTURE IN MULTI-OMICS APPLICATIONS
Li Zhu et al.
ANNALS OF APPLIED STATISTICS (2019)
DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network
Zhidong Zhao et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2019)
Maternal exposure to outdoor air pollution and congenital limb deficiencies in the National Birth Defects Prevention Study
Giehae Choi et al.
ENVIRONMENTAL RESEARCH (2019)
Understanding health disparities
David K. Stevenson et al.
JOURNAL OF PERINATOLOGY (2019)
Deep learning predicts extreme preterm birth from electronic health records
Cheng Gao et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2019)
The contributions of genetics to premature birth
David K. Stevenson et al.
PEDIATRIC RESEARCH (2019)
Integrated RNA-seq and ChIP-seq analysis reveals a feed-forward loop regulating H3K9ac and key labor drivers in human placenta
Bingbing Wang et al.
PLACENTA (2019)
Identification of diagnostic biomarkers in patients with gestational diabetes mellitus based on transcriptome gene expression and methylation correlation analysis
Enchun Li et al.
REPRODUCTIVE BIOLOGY AND ENDOCRINOLOGY (2019)
Personalized Sleep Parameters Estimation from Actigraphy: A Machine Learning Approach
Aria Khademi et al.
NATURE AND SCIENCE OF SLEEP (2019)
The Cellular Transcriptome in the Maternal Circulation During Normal Pregnancy: A Longitudinal Study
Nardhy Gomez-Lopez et al.
FRONTIERS IN IMMUNOLOGY (2019)
The Unique Microbiome and Innate Immunity During Pregnancy
Chunlei Mei et al.
FRONTIERS IN IMMUNOLOGY (2019)
iOmicsPASS: network-based integration of multiomics data for predictive subnetwork discovery
Hiromi W. L. Koh et al.
NPJ SYSTEMS BIOLOGY AND APPLICATIONS (2019)
Human Trophoblast Differentiation Is Associated With Profound Gene Regulatory and Epigenetic Changes
Youn-Tae Kwak et al.
ENDOCRINOLOGY (2019)
Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review
Theresa A. Koleck et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2019)
Evaluation of colorectal cancer subtypes and cell lines using deep learning
Jonathan Ronen et al.
LIFE SCIENCE ALLIANCE (2019)
Deep Multimodal Representation Learning: A Survey
Wenzhong Guo et al.
IEEE ACCESS (2019)
A proteomic clock of human pregnancy
Nima Aghaeepour et al.
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY (2018)
Long-term cardiovascular consequences of fetal growth restriction: biology, clinical implications, and opportunities for prevention of adult disease mas
Fatima Crispi et al.
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY (2018)
Fetal health status prediction based on maternal clinical history using machine learning techniques
Akhan Akbulut et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
Henry Friday Nweke et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
Prediction of preterm birth with and without preeclampsia using mid-pregnancy immune and growth-related molecular factors and maternal characteristics
Laura L. Jelliffe-Pawlowski et al.
JOURNAL OF PERINATOLOGY (2018)
Cardiotocography and beyond: a review of one-dimensional Doppler ultrasound application in fetal monitoring
Faezeh Marzbanrad et al.
PHYSIOLOGICAL MEASUREMENT (2018)
Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives
Sebastian Gehrmann et al.
PLOS ONE (2018)
Genetic and Environmental Influences on Fetal Growth Vary during Sensitive Periods in Pregnancy
Tsegaselassie Workalemahu et al.
SCIENTIFIC REPORTS (2018)
A genome-wide association study identifies only two ancestry specific variants associated with spontaneous preterm birth
Nadav Rappoport et al.
SCIENTIFIC REPORTS (2018)
Automated Techniques for the Interpretation of Fetal Abnormalities: A Review
Vidhi Rawat et al.
APPLIED BIONICS AND BIOMECHANICS (2018)
A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts
David Westergaard et al.
PLOS COMPUTATIONAL BIOLOGY (2018)
Nutrient intake in women before conception and risks of anophthalmia and microphthalmia in their offspring
Kari A. Weber et al.
BIRTH DEFECTS RESEARCH (2018)
Women's periconceptional diet and risk of biliary atresia in offspring
Suzan L. Carmichael et al.
BIRTH DEFECTS RESEARCH (2018)
Bayesian integrative model for multi-omics data with missingness
Zhou Fang et al.
BIOINFORMATICS (2018)
Metagenomic analysis with strain-level resolution reveals fine-scale variation in the human pregnancy microbiome
Daniela S. Aliaga Goltsman et al.
GENOME RESEARCH (2018)
Quantifying the burden of stillbirths before 28 weeks of completed gestational age in high-income countries: a population-based study of 19 European countries
Lucy K. Smith et al.
LANCET (2018)
Deep learning in biomedicine
Michael Wainberg et al.
NATURE BIOTECHNOLOGY (2018)
Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study
Stefan Kuhle et al.
BMC PREGNANCY AND CHILDBIRTH (2018)
Association of Adverse Pregnancy Outcomes With Self-Reported Measures of Sleep Duration and Timing in Women Who Are Nulliparous
Francesca L. Facco et al.
JOURNAL OF CLINICAL SLEEP MEDICINE (2018)
Genetic Variants in Preeclampsia: Lessons From Studies in Latin-American Populations
Rafael Tomoya Michita et al.
FRONTIERS IN PHYSIOLOGY (2018)
Deep Learning-Based Multi-Omics Data Integration Reveals Two Prognostic Subtypes in High-Risk Neuroblastoma
Li Zhang et al.
FRONTIERS IN GENETICS (2018)
Deep learning for healthcare: review, opportunities and challenges
Riccardo Miotto et al.
BRIEFINGS IN BIOINFORMATICS (2018)
Socioeconomic status can affect pregnancy outcomes and complications, even with a universal healthcare system
Min Kyoung Kim et al.
INTERNATIONAL JOURNAL FOR EQUITY IN HEALTH (2018)
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
Anthony Bagnall et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2017)
Multi-view learning overview: Recent progress and new challenges
Jing Zhao et al.
INFORMATION FUSION (2017)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Genetic Associations with Gestational Duration and Spontaneous Preterm Birth
G. Zhang et al.
NEW ENGLAND JOURNAL OF MEDICINE (2017)
Integrative single-cell and cell-free plasma RNA transcriptomics elucidates placental cellular dynamics
Jason C. H. Tsang et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2017)
Electronic Health Record Driven Prediction for Gestational Diabetes Mellitus in Early Pregnancy
Hang Qiu et al.
SCIENTIFIC REPORTS (2017)
Development of A Machine Learning Algorithm to Classify Drugs Of Unknown Fetal Effect
Mary Regina Boland et al.
SCIENTIFIC REPORTS (2017)
Maternal Exposure to Nitrogen Dioxide, Intake of Methyl Nutrients, and Congenital Heart Defects in Offspring
Jeanette A. Stingone et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2017)
An immune clock of human pregnancy
Nima Aghaeepour et al.
SCIENCE IMMUNOLOGY (2017)
The oral microbiome and adverse pregnancy outcomes
Charles M. Cobb et al.
INTERNATIONAL JOURNAL OF WOMENS HEALTH (2017)
Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery
Graciela H. Gonzalez et al.
BRIEFINGS IN BIOINFORMATICS (2016)
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
John V. Ilekis et al.
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY (2016)
Association between vitamin D status and the risk of gestational diabetes mellitus: a meta-analysis
Min Lu et al.
ARCHIVES OF GYNECOLOGY AND OBSTETRICS (2016)
Using Insurance Claims Data to Identify and Estimate Critical Periods in Pregnancy: An Application to Antidepressants
Elizabeth C. Ailes et al.
BIRTH DEFECTS RESEARCH PART A-CLINICAL AND MOLECULAR TERATOLOGY (2016)
Metabolomics: beyond biomarkers and towards mechanisms
Caroline H. Johnson et al.
NATURE REVIEWS MOLECULAR CELL BIOLOGY (2016)
Effect of maternal stress during pregnancy on the risk for preterm birth
Caroline Lilliecreutz et al.
BMC PREGNANCY AND CHILDBIRTH (2016)
Using Insurance Claims Data to Identify and Estimate Critical Periods in Pregnancy: An Application to Antidepressants
Elizabeth C. Ailes et al.
BIRTH DEFECTS RESEARCH PART A-CLINICAL AND MOLECULAR TERATOLOGY (2016)
Effects of Environmental Exposures on Fetal and Childhood Growth Trajectories
Tongzhang Zheng et al.
ANNALS OF GLOBAL HEALTH (2016)
Role of the Placental Vitamin D Receptor in Modulating Feto-Placental Growth in Fetal Growth Restriction and Preeclampsia-Affected Pregnancies
Padma Murthi et al.
FRONTIERS IN PHYSIOLOGY (2016)
National, regional, and worldwide estimates of stillbirth rates in 2015, with trends from 2000: a systematic analysis
Hannah Blencowe et al.
LANCET GLOBAL HEALTH (2016)
Placental transcriptome in development and pathology: expression, function, and methods of analysis
Brian Cox et al.
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY (2015)
A short review of adipokines, smooth muscle and uterine contractility
Seham AlSaif et al.
LIFE SCIENCES (2015)
Semantic human activity recognition: A literature review
Maryarn Ziaeefard et al.
PATTERN RECOGNITION (2015)
Sentiment Measured in Hospital Discharge Notes Is Associated with Readmission and Mortality Risk: An Electronic Health Record Study
Thomas H. McCoy et al.
PLOS ONE (2015)
Pre-eclampsia part 1: current understanding of its pathophysiology
Tinnakorn Chaiworapongsa et al.
NATURE REVIEWS NEPHROLOGY (2014)
Association between reduced fetal movements at term and first trimester markers of impaired placental development
G. Pagani et al.
PLACENTA (2014)
Preterm labor: One syndrome, many causes
Roberto Romero et al.
SCIENCE (2014)
Early Prediction of Preeclampsia
Leona C. Poon et al.
OBSTETRICS AND GYNECOLOGY INTERNATIONAL (2014)
Decision trees: a recent overview
S. B. Kotsiantis
ARTIFICIAL INTELLIGENCE REVIEW (2013)
Climate change and the potential effects on maternal and pregnancy outcomes: an assessment of the most vulnerable - the mother, fetus, and newborn child
Charlotta Rylander et al.
GLOBAL HEALTH ACTION (2013)
Effects of prenatal stress on pregnancy and human development: mechanisms and pathways
Mary E. Coussons-Read
OBSTETRIC MEDICINE (2013)
Mechanisms of implantation: strategies for successful pregnancy
Jeeyeon Cha et al.
NATURE MEDICINE (2012)
Biological Mechanisms for Nutritional Regulation of Maternal Health and Fetal Development
Guoyao Wu et al.
PAEDIATRIC AND PERINATAL EPIDEMIOLOGY (2012)
Daily Sleep and Fatigue Characteristics in Nulliparous Women during the Third Trimester of Pregnancy
Shao-Yu Tsai et al.
SLEEP (2012)
Human Activity Analysis: A Review
J. K. Aggarwal et al.
ACM COMPUTING SURVEYS (2011)
Exploring the risk factors of preterm birth using data mining
Hsiang-Yang Chen et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Causes of Death Among Stillbirths
Radek Bukowski et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2011)
Small for gestational age (SGA) and fetal growth restriction (FGR)
Jay D. Iams
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY (2010)
A review of feature selection techniques in bioinformatics
Yvan Saeys et al.
BIOINFORMATICS (2007)
Frontiers of biomedical text mining: current progress
Pierre Zweigenbaum et al.
BRIEFINGS IN BIOINFORMATICS (2007)
The preterm parturition syndrome
R. Romero et al.
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY (2006)
Predicting high-risk preterm birth using artificial neural networks
Christina Catley et al.
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2006)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
A comparison of methods for multiclass support vector machines
CW Hsu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2002)