Cargando…

Machine Learning Approach for Preterm Birth Prediction Using Health Records: Systematic Review

BACKGROUND: Preterm birth (PTB), a common pregnancy complication, is responsible for 35% of the 3.1 million pregnancy-related deaths each year and significantly affects around 15 million children annually worldwide. Conventional approaches to predict PTB lack reliable predictive power, leaving >5...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sharifi-Heris, Zahra, Laitala, Juho, Airola, Antti, Rahmani, Amir M, Bender, Miriam
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2022
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9069277/ https://www.ncbi.nlm.nih.gov/pubmed/35442214 http://dx.doi.org/10.2196/33875

Ejemplares similares

Heart Rate Variability and Pregnancy Complications: Systematic Review
por: Sharifi-Heris, Zahra, et al.
Publicado: (2023)

Microbiome Preterm Birth DREAM Challenge: Crowdsourcing Machine Learning Approaches to Advance Preterm Birth Research
por: Golob, Jonathan L., et al.
Publicado: (2023)

Machine Learning-Based Prediction Model of Preterm Birth Using Electronic Health Record
por: Sun, Qi, et al.
Publicado: (2022)

Paracetamol preceding very preterm birth: Is it safe?
por: Laitala, Aliisa, et al.
Publicado: (2022)

Dense phenotyping from electronic health records enables machine learning-based prediction of preterm birth
por: Abraham, Abin, et al.
Publicado: (2022)

Robust PPG Peak Detection Using Dilated Convolutional Neural Networks
por: Kazemi, Kianoosh, et al.
Publicado: (2022)

Predicting preterm births from electrohysterogram recordings via deep learning
por: Goldsztejn, Uri, et al.
Publicado: (2023)

Regularized Machine Learning in the Genetic Prediction of Complex Traits
por: Okser, Sebastian, et al.
Publicado: (2014)

Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis
por: Lee, Kwang-Sig, et al.
Publicado: (2021)

Language function following preterm birth: prediction using machine learning
por: Valavani, Evdoxia, et al.
Publicado: (2021)

Predicting preterm birth using machine learning techniques in oral microbiome
por: Hong, You Mi, et al.
Publicado: (2023)

Learning with multiple pairwise kernels for drug bioactivity prediction
por: Cichonska, Anna, et al.
Publicado: (2018)

A Machine Learning-Based Prediction Model for Preterm Birth in Rural India
por: Raja, Rakesh, et al.
Publicado: (2021)

Prediction of preterm birth in nulliparous women using logistic regression and machine learning
por: Arabi Belaghi, Reza, et al.
Publicado: (2021)

Establishment of a model for predicting preterm birth based on the machine learning algorithm
por: Zhang, Yao, et al.
Publicado: (2023)

Reporting and risk of bias of prediction models based on machine learning methods in preterm birth: A systematic review
por: Yang, Qiuyu, et al.
Publicado: (2022)

Investigating the Prevalence of Preterm Birth in Iranian Population: A Systematic Review and Meta-Analysis
por: Sharifi, Nasibeh, et al.
Publicado: (2017)

Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors
por: Cichonska, Anna, et al.
Publicado: (2017)

Comparative analysis of five protein-protein interaction corpora
por: Pyysalo, Sampo, et al.
Publicado: (2008)

Abdominal adipose tissue and liver fat imaging in very low birth weight adults born preterm: birth cohort with sibling-controls
por: Kuula, Juho, et al.
Publicado: (2022)

Maternal multimorbidity and preterm birth in Scotland: an observational record-linkage study
por: Azcoaga-Lorenzo, Amaya, et al.
Publicado: (2023)

Contribution of Risk Factors to Extremely, Very and Moderately Preterm Births – Register-Based Analysis of 1,390,742 Singleton Births
por: Räisänen, Sari, et al.
Publicado: (2013)

The Prediction of Preterm Birth Using Time-Series Technology-Based Machine Learning: Retrospective Cohort Study
por: Zhang, Yichao, et al.
Publicado: (2022)

Machine learning approach for the prediction of postpartum hemorrhage in vaginal birth
por: Akazawa, Munetoshi, et al.
Publicado: (2021)

Machine learning-based approach for predicting low birth weight
por: Ranjbar, Amene, et al.
Publicado: (2023)

The Effect of Prenatal Self-Care Based on Orem's Theory on Preterm Birth Occurrence in Women at Risk for Preterm Birth
por: Rezaeean, Seyedeh-Mahboobeh, et al.
Publicado: (2020)

Data-driven risk stratification for preterm birth in Brazil: a population-based study to develop of a machine learning risk assessment approach
por: Rocha, Thiago Augusto Hernandes, et al.
Publicado: (2021)

The Anti-Inflammatory Properties of the Topical Application of Human Milk in Dermal and Optical Diseases
por: Amiri-Farahani, Leila, et al.
Publicado: (2020)

Learning and Use of eHealth Among Older Adults Living at Home in Rural and Nonrural Settings: Systematic Review
por: Airola, Ella
Publicado: (2021)

The Risk of Preterm Birth in Women with Three Consecutive Deliveries—The Effect of Number and Type of Prior Preterm Births
por: Hiersch, Liran, et al.
Publicado: (2020)

Impact of social support and mindfulness in the associations between perceived risk of COVID-19 acquisition and pregnancy outcomes in Iranian population: a longitudinal cohort study
por: Sharifi-Heris, Zahra, et al.
Publicado: (2023)

The use of specialised preterm birth clinics for women at high risk of spontaneous preterm birth: a systematic review
por: Dawes, Lisa, et al.
Publicado: (2020)

Association of Preterm Birth with Depression and Particulate Matter: Machine Learning Analysis Using National Health Insurance Data
por: Lee, Kwang-Sig, et al.
Publicado: (2021)

Predicting preterm birth through vaginal microbiota, cervical length, and WBC using a machine learning model
por: Park, Sunwha, et al.
Publicado: (2022)

Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data
por: Song, In-Seok, et al.
Publicado: (2023)

Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015
por: Wong, Kingsley, et al.
Publicado: (2022)

Artificial Intelligence for Modeling Real Estate Price Using Call Detail Records and Hybrid Machine Learning Approach
por: Pinter, Gergo, et al.
Publicado: (2020)

Static balance function in children with a history of preterm birth
por: Eshaghi, Zahra, et al.
Publicado: (2015)

Preterm Birth and Breast Cancer Risk: A Systematic Review and Meta-Analysis
por: Razavi, Maryam, et al.
Publicado: (2023)

Predictors of preterm birth and low birth weight: A person-centered approach
por: Deichen Hansen, Megan E.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_gh5v4u6b3dkoth0f4eo6guogon