Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes
出版年份 2020 全文链接
标题
Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes
作者
关键词
-
出版物
BRIEFINGS IN BIOINFORMATICS
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2020-11-20
DOI
10.1093/bib/bbaa369
参考文献
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。- Fertility preservation options for transgender individuals
- (2020) Joshua Sterling et al. Translational Andrology and Urology
- Telehealth for High-Risk Pregnancies in the Setting of the COVID-19 Pandemic
- (2020) Aleha Aziz et al. AMERICAN JOURNAL OF PERINATOLOGY
- Managing Diabetes in Pregnancy Before, During, and After COVID-19
- (2020) Helen R. Murphy Diabetes Technology & Therapeutics
- Deep phenotyping: Embracing complexity and temporality—Towards scalability, portability, and interoperability
- (2020) Chunhua Weng et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Applications of artificial neural networks in health care organizational decision-making: A scoping review
- (2019) Nida Shahid et al. PLoS One
- Wearable Sensors Reveal Menses-driven Changes in Physiology and Enable Prediction of the Fertile Window: an Observational Study (Preprint)
- (2019) Brianna Mae Goodale et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Use of artificial intelligence (AI) in the interpretation of intrapartum fetal heart rate (FHR) tracings: a systematic review and meta-analysis
- (2019) Jacques Balayla et al. ARCHIVES OF GYNECOLOGY AND OBSTETRICS
- Exon level machine learning analyses elucidate novel candidate miRNA targets in an avian model of fetal alcohol spectrum disorder
- (2019) Abrar E. Al-Shaer et al. PLoS Computational Biology
- Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer
- (2019) D Tran et al. HUMAN REPRODUCTION
- Mobile technology in health (mHealth) and antenatal care–Searching for apps and available solutions: A systematic review
- (2019) Samira M. Haddad et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- 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
- A decision support system for predicting the treatment of ectopic pregnancies
- (2019) Alberto De Ramón Fernández et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Anisotropic Material Characterization of Human Cervix Tissue Based on Indentation and Inverse Finite Element Analysis
- (2019) Lei Shi et al. JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME
- Key challenges for delivering clinical impact with artificial intelligence
- (2019) Christopher J. Kelly et al. BMC Medicine
- Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning
- (2019) Yu Lu et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- 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
- Deep learning predicts extreme preterm birth from electronic health records
- (2019) Cheng Gao et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Fetal health status prediction based on maternal clinical history using machine learning techniques
- (2018) Akhan Akbulut et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces
- (2018) Paul Fergus et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome
- (2018) Aki Koivu et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Family planning and contraception use in transgender men
- (2018) Alexis Light et al. CONTRACEPTION
- 3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images
- (2018) Benjamin Hou et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Computerized prediction system for the route of delivery (vaginal birth versus cesarean section)
- (2018) Mehmet Sinan Beksac et al. JOURNAL OF PERINATAL MEDICINE
- Opportunities and obstacles for deep learning in biology and medicine
- (2018) Travers Ching et al. Journal of the Royal Society Interface
- A metabolomics-based approach for non-invasive screening of fetal central nervous system anomalies
- (2018) Jacopo Troisi et al. Metabolomics
- 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
- Averaged one-dependence estimators on edge devices for smart pregnancy data analysis
- (2018) Mário W.L. Moreira et al. COMPUTERS & ELECTRICAL ENGINEERING
- Neuro-fuzzy model for HELLP syndrome prediction in mobile cloud computing environments
- (2018) Mário W. L. Moreira et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Real-time Deep Pose Estimation with Geodesic Loss for Image-to-Template Rigid Registration
- (2018) IEEE TRANSACTIONS ON MEDICAL IMAGING
- eDoctor: machine learning and the future of medicine
- (2018) G. S. Handelman et al. JOURNAL OF INTERNAL MEDICINE
- Artificial intelligence assistance for fetal head biometry: Assessment of automated measurement software
- (2018) G. Ambroise Grandjean et al. Diagnostic and Interventional Imaging
- Postnatal Gestational Age Estimation of Newborns using Small Sample Deep Learning
- (2018) Mercedes Torres Torres et al. IMAGE AND VISION COMPUTING
- Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter
- (2018) Ari Z. Klein et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Genome-wide maps of distal gene regulatory enhancers active in the human placenta
- (2018) Joanna Zhang et al. PLoS One
- 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
- Artificial Intelligence and amniotic fluid multiomics analysis: The prediction of perinatal outcome in asymptomatic short cervix
- (2018) Ray O. Bahado-Singh et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- Machine Learning for Fetal Growth Prediction
- (2017) Ashley I. Naimi et al. EPIDEMIOLOGY
- A web-based clinical decision support system for gestational diabetes: Automatic diet prescription and detection of insulin needs
- (2017) Estefanía Caballero-Ruiz et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Assessment of a personalized and distributed patient guidance system
- (2017) Mor Peleg et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Spatiotemporal alignment of in utero BOLD-MRI series
- (2017) Esra Abaci Turk et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Preterm labor and preterm birth
- (2017) Cihat Sen JOURNAL OF PERINATAL MEDICINE
- Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations
- (2017) Kevin Zhang et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Predicting congenital heart defects: A comparison of three data mining methods
- (2017) Yanhong Luo et al. PLoS One
- The clinical utility of genome-wide non invasive prenatal screening
- (2017) Francesco Fiorentino et al. PRENATAL DIAGNOSIS
- From erasure to opportunity: a qualitative study of the experiences of transgender men around pregnancy and recommendations for providers
- (2017) Alexis Hoffkling et al. BMC Pregnancy and Childbirth
- Expect With Me: development and evaluation design for an innovative model of group prenatal care to improve perinatal outcomes
- (2017) Shayna D. Cunningham et al. BMC Pregnancy and Childbirth
- The role of a decision-support smartphone application in enhancing community health volunteers’ effectiveness to improve maternal and newborn outcomes in Nairobi, Kenya: quasi-experimental research protocol
- (2017) Pauline Bakibinga et al. BMJ Open
- Discriminating Pregnancy and Labour in Electrohysterogram by Sample Entropy and Support Vector Machine
- (2017) Lili Chen et al. Journal of Medical Imaging and Health Informatics
- Intelligent Noninvasive Diagnosis of Aneuploidy: Raw Values and Highly Imbalanced Dataset
- (2017) Andreas C. Neocleous et al. IEEE Journal of Biomedical and Health Informatics
- Evolutionary radial basis function network for gestational diabetes data analytics
- (2017) Mário W.L. Moreira et al. Journal of Computational Science
- Fuzzy Analysis of Delivery Outcome Attributes for Improving the Automated Fetal State Assessment
- (2016) Robert Czabanski et al. APPLIED ARTIFICIAL INTELLIGENCE
- Future perspectives in intrapartum fetal surveillance
- (2016) Lawrence D. Devoe BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY
- Continuum of Care Services for Maternal and Child Health using mobile technology – a health system strengthening strategy in low and middle income countries
- (2016) Ramkrishnan Balakrishnan et al. BMC Medical Informatics and Decision Making
- Etiopathogenesis, prediction, and prevention of preeclampsia
- (2016) P. J. Correa et al. HYPERTENSION IN PREGNANCY
- Usability and feasibility of a mobile health system to provide comprehensive antenatal care in low-income countries: PANDA mHealth pilot study in Madagascar
- (2016) Anne Caroline Benski et al. JOURNAL OF TELEMEDICINE AND TELECARE
- Calibrating random forests for probability estimation
- (2016) Theresa Dankowski et al. STATISTICS IN MEDICINE
- Transmasculine individuals’ experiences with lactation, chestfeeding, and gender identity: a qualitative study
- (2016) Trevor MacDonald et al. BMC Pregnancy and Childbirth
- First Trimester Noninvasive Prenatal Diagnosis: A Computational Intelligence Approach
- (2016) Andreas C. Neocleous et al. IEEE Journal of Biomedical and Health Informatics
- Classification of the cardiotocogram data for anticipation of fetal risks using machine learning techniques
- (2015) Hakan Sahin et al. APPLIED SOFT COMPUTING
- Machine Learning in Medicine
- (2015) R. C. Deo CIRCULATION
- Automatic Identification of Web-Based Risk Markers for Health Events
- (2015) Elad Yom-Tov et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Fetal Thymus Volume Estimation by Virtual Organ Computer-Aided Analysis in Normal Pregnancies
- (2015) Claudia Re et al. JOURNAL OF ULTRASOUND IN MEDICINE
- Learning-based prediction of gestational age from ultrasound images of the fetal brain
- (2015) Ana I.L. Namburete et al. MEDICAL IMAGE ANALYSIS
- Bayes' theorem
- (2015) Jorge López Puga et al. NATURE METHODS
- The placenta: a multifaceted, transient organ
- (2015) G. J. Burton et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Discriminative Learning for Automatic Staging of Placental Maturity via Multi-layer Fisher Vector
- (2015) Baiying Lei et al. Scientific Reports
- Usability and Feasibility of PIERS on the Move: An mHealth App for Pre-Eclampsia Triage
- (2015) Joanne Lim et al. JMIR mHealth and uHealth
- Principal component analysis
- (2014) Rasmus Bro et al. Analytical Methods
- NICeSim: An open-source simulator based on machine learning techniques to support medical research on prenatal and perinatal care decision making
- (2014) Fabio Ribeiro Cerqueira et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- A System for Counting Fetal and Maternal Red Blood Cells
- (2014) Ji Ge et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Predictive Modeling of Implantation Outcome in an In Vitro Fertilization Setting
- (2014) Asli Uyar et al. MEDICAL DECISION MAKING
- Transgender Men Who Experienced Pregnancy After Female-to-Male Gender Transitioning
- (2014) Alexis D. Light et al. OBSTETRICS AND GYNECOLOGY
- Fetal QRS extraction from abdominal recordings via model-based signal processing and intelligent signal merging
- (2014) Masoumeh Haghpanahi et al. PHYSIOLOGICAL MEASUREMENT
- An efficient unsupervised fetal QRS complex detection from abdominal maternal ECG
- (2014) M Varanini et al. PHYSIOLOGICAL MEASUREMENT
- Twitter: A Good Place to Detect Health Conditions
- (2014) Víctor M. Prieto et al. PLoS One
- High resolution non-invasive detection of a fetal microdeletion using the GCREM algorithm
- (2014) Tianjiao Chu et al. PRENATAL DIAGNOSIS
- Postpartum Depression: Current Status and Future Directions
- (2013) Michael W. O'Hara et al. Annual Review of Clinical Psychology
- New insights into mechanisms behind miscarriage
- (2013) Elisabeth Clare Larsen et al. BMC Medicine
- Integrating multiple ‘omics’ analyses identifies serological protein biomarkers for preeclampsia
- (2013) Linda Y Liu et al. BMC Medicine
- Comparison of Different EHG Feature Selection Methods for the Detection of Preterm Labor
- (2013) D. Alamedine et al. Computational and Mathematical Methods in Medicine
- Contemporary Women’s Adaptation to Motherhood
- (2013) Cynthia Aber et al. NURSING SCIENCE QUARTERLY
- Prediction of Preterm Deliveries from EHG Signals Using Machine Learning
- (2013) Paul Fergus et al. PLoS One
- Selection of the Sub-noise Gain Level for Acquisition of VOCAL Data Sets: A Reliability Study
- (2013) Jennifer Sanderson et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Fetal Intelligent Navigation Echocardiography (FINE): a novel method for rapid, simple, and automatic examination of the fetal heart
- (2013) Lami Yeo et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- Early prediction of macrosomia based on an analysis of second trimester amniotic fluid by capillary electrophoresis
- (2012) Michel R Boisvert et al. Biomarkers in Medicine
- Deep phenotyping for precision medicine
- (2012) Peter N. Robinson HUMAN MUTATION
- Variation in Stability of Endogenous Reference Genes in Fallopian Tubes and Endometrium from Healthy and Ectopic Pregnant Women
- (2012) Alpha K. Gebeh et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- The search for biomarkers of human embryo developmental potential in IVF: a comprehensive proteomic approach
- (2012) J. Nyalwidhe et al. MOLECULAR HUMAN REPRODUCTION
- Screening and outcome of chromosomal abnormalities other than trisomy 21 in Northern Finland
- (2011) JAANA MARTTALA et al. ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA
- Artificial neural network for normal, hypertensive, and preeclamptic pregnancy classification using maternal heart rate variability indexes
- (2011) Eduardo Tejera et al. Journal of Maternal-Fetal & Neonatal Medicine
- Performance adjusted risks: a method to improve the quality of algorithm performance while allowing all to play
- (2011) Mark I. Evans et al. PRENATAL DIAGNOSIS
- Data clustering: 50 years beyond K-means
- (2009) Anil K. Jain PATTERN RECOGNITION LETTERS
- The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration
- (2009) Alessandro Liberati et al. PLOS MEDICINE
- Bayesian classification for the selection of in vitro human embryos using morphological and clinical data
- (2008) Dinora Araceli Morales et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Screening for trisomies 21, 18 and 13 by maternal age, fetal nuchal translucency, fetal heart rate, free -hCG and pregnancy-associated plasma protein-A
- (2008) K. O. Kagan et al. HUMAN REPRODUCTION
- Ridge Extraction From the Time–frequency Representation (TFR) of Signals Based on an Image Processing Approach: Application to the Analysis of Uterine Electromyogram AR TFR
- (2008) J. Terrien et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Detection of Uterine MMG Contractions Using a Multiple Change Point Estimator and the K-Means Cluster Algorithm
- (2008) Patricio S. La Rosa et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Fetal Weight Estimation Using the Evolutionary Fuzzy Support Vector Regression for Low-Birth-Weight Fetuses
- (2008) Jinhua Yu et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More