Machine learning: a new era for cardiovascular pregnancy physiology and cardio-obstetrics research.
Am J Physiol Heart Circ Physiol
; 327(2): H417-H432, 2024 08 01.
Article
en En
| MEDLINE
| ID: mdl-38847756
ABSTRACT
The maternal cardiovascular system undergoes functional and structural adaptations during pregnancy and postpartum to support increased metabolic demands of offspring and placental growth, labor, and delivery, as well as recovery from childbirth. Thus, pregnancy imposes physiological stress upon the maternal cardiovascular system, and in the absence of an appropriate response it imparts potential risks for cardiovascular complications and adverse outcomes. The proportion of pregnancy-related maternal deaths from cardiovascular events has been steadily increasing, contributing to high rates of maternal mortality. Despite advances in cardiovascular physiology research, there is still no comprehensive understanding of maternal cardiovascular adaptations in healthy pregnancies. Furthermore, current approaches for the prognosis of cardiovascular complications during pregnancy are limited. Machine learning (ML) offers new and effective tools for investigating mechanisms involved in pregnancy-related cardiovascular complications as well as the development of potential therapies. The main goal of this review is to summarize existing research that uses ML to understand mechanisms of cardiovascular physiology during pregnancy and develop prediction models for clinical application in pregnant patients. We also provide an overview of ML platforms that can be used to comprehensively understand cardiovascular adaptations to pregnancy and discuss the interpretability of ML outcomes, the consequences of model bias, and the importance of ethical consideration in ML use.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Aprendizaje Automático
Límite:
Animals
/
Female
/
Humans
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Pregnancy
Idioma:
En
Revista:
Am J Physiol Heart Circ Physiol
/
Am. j. physiol, Heart circ. physiol
/
American journal of physiology. Heart and circulatory physiology
Asunto de la revista:
CARDIOLOGIA
/
FISIOLOGIA
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos