[HTML][HTML] Comparison of multivariable logistic regression and other machine learning algorithms for prognostic prediction studies in pregnancy care: systematic review …

H Sufriyana, A Husnayain, YL Chen… - JMIR medical …, 2020 - medinform.jmir.org
Background: Predictions in pregnancy care are complex because of interactions among
multiple factors. Hence, pregnancy outcomes are not easily predicted by a single predictor …

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

L Davidson, MR Boland - Briefings in bioinformatics, 2021 - academic.oup.com
Objective Development of novel informatics methods focused on improving pregnancy
outcomes remains an active area of research. The purpose of this study is to systematically …

A health decision support system for disease diagnosis based on wearable medical sensors and machine learning ensembles

H Yin, NK Jha - IEEE Transactions on Multi-Scale Computing …, 2017 - ieeexplore.ieee.org
Even with an annual expenditure of more than $3 trillion, the US healthcare system is far
from optimal. For example, the third leading cause of death in the US is preventable medical …

Machine learning in critical care: state-of-the-art and a sepsis case study

A Vellido, V Ribas, C Morales, A Ruiz Sanmartín… - Biomedical engineering …, 2018 - Springer
Background Like other scientific fields, such as cosmology, high-energy physics, or even the
life sciences, medicine and healthcare face the challenge of an extremely quick …

Artificial intelligence in pregnancy: A scoping review

AM Oprescu, G Miro-Amarante, L García-Díaz… - IEEE …, 2020 - ieeexplore.ieee.org
Artificial Intelligence has been widely applied to a majority of research areas, including
health and medicine. Certain complications or disorders that can appear during pregnancy …

Smart healthcare

H Yin, AO Akmandor, A Mosenia… - … and Trends® in …, 2018 - nowpublishers.com
Internet-of-Things and machine learning promise a new era for healthcare. The emergence
of transformative technologies, such as Implantable and Wearable Medical Devices …

On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature

E Silva Rocha, FL de Morais Melo… - BMC Medical Informatics …, 2022 - Springer
Background Care during pregnancy, childbirth and puerperium are fundamental to avoid
pathologies for the mother and her baby. However, health issues can occur during this …

Neonatal intensive care decision support systems using artificial intelligence techniques: a systematic review

JS Malak, H Zeraati, FS Nayeri, R Safdari… - Artificial Intelligence …, 2019 - Springer
A neonatal intensive care unit (NICU) provides critical services to preterm and high-risk
infants. Over the years, many tools and techniques have been introduced to support the …

AI-CDSS Design Guidelines and Practice Verification

X He, X Zheng, H Ding, Y Liu, H Zhu - International Journal of …, 2023 - Taylor & Francis
This study presents systematic design guidelines for AI-powered clinical decision support
systems (AI-CDSS) based on a comprehensive literature review and theme analysis. The …

Modelos de tomada de decisão em bioética clínica: apontamentos para a abordagem computacional

R Siqueira-Batista, AP Gomes, PM Maia, IT Costa… - Revista …, 2014 - SciELO Brasil
A bioética tem se tornado, nas últimas décadas, um tema de importância central para a
prática clínica, por fornecer ferramentas teóricas para a tomada de decisão do profissional …