Machine learning: a new era for cardiovascular pregnancy physiology and cardio-obstetrics research

Keyphrases

• Machine Learning 100%
• Cardio-obstetrics 100%
• Physiology of Pregnancy 100%
• Cardiovascular Complications 75%
• Cardiovascular Adaptation 50%
• During Pregnancy 50%
• Pregnancy Disorders 50%
• Cardiovascular Physiology 50%
• Maternal Cardiovascular System 50%
• Clinical Application 25%
• Physiological Stress 25%
• Potential Risk 25%
• Metabolic Demand 25%
• Maternal Mortality 25%
• Pregnant Women 25%
• Cardiovascular Events 25%
• Placental Growth 25%
• Prediction Model 25%
• Healthy Pregnancy 25%
• Offspring Growth 25%
• Machine Learning System 25%
• Potential Therapy 25%
• Adverse Outcomes 25%
• Pregnancy Complications 25%
• Childbirth 25%
• Maternal Death 25%
• Interpretable Machine Learning 25%
• Functional Adaptation 25%
• Effective Tool 25%
• Learning Outcomes 25%
• Adaptation to Pregnancy 25%
• Ethical Considerations 25%
• Appropriate Responses 25%
• Structural Adaptation 25%
• Physiology Research 25%
• Placental Delivery 25%
• Complication Outcome 25%
• Model Bias 25%

Medicine and Dentistry

• Cardiovascular System 100%
• Obstetrics 100%
• Cardiovascular Disease 75%
• Cardiovascular Physiology 50%
• Cardiovascular System 50%
• Placental Delivery 25%
• Physiological Stress 25%
• Maternal Mortality 25%
• Adverse Outcome 25%
• Maternal Death 25%
• Placenta Development 25%
• Progeny 25%
• Birth 25%