AIMC Topic: Pregnancy Complications, Hematologic

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Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context.

BMC public health Dec 18, 2024
BACKGROUND: Anemia during pregnancy is a significant public health concern, particularly in resource-limited settings. Machine learning (ML) offers promising avenues for improved anemia detection and management. This study investigates the potential ...
Humans Machine Learning Pregnancy Female Young Adult Adult Prenatal Care Severity of Illness Index Adolescent Ethiopia Anemia Pregnancy Complications, Hematologic
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Machine learning of blood haemoglobin and haematocrit levels via smartphone conjunctiva photography in Kenyan pregnant women: a clinical study protocol.

BMJ open May 8, 2025
INTRODUCTION: Anaemia during pregnancy is a widespread health burden globally, especially in low- and middle-income countries, posing a serious risk to both maternal and neonatal health. The primary challenge is that anaemia is frequently undetected ...
Humans Machine Learning Pregnancy Female Young Adult Adult Cross-Sectional Studies Middle Aged Adolescent Smartphone Observational Studies as Topic Conjunctiva Hemoglobins Hematocrit Telemedicine Anemia Kenya Photography Pregnancy Complications, Hematologic
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