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Machine Learning in Fetal Health Monitoring by borene8991 is a document available to read on EtoBox.

The document reviews various studies on the application of machine learning and IoT technologies in maternal and fetal health monitoring, highlighting advancements in accuracy and efficiency. Key findings suggest that while these technologies improve diagnostic processes and patient care, challenges such as data privacy, connectivity, and the need for manual interpretation persist. Future research is encouraged to address these limitations and enhance the integration of AI and IoT in healthcare systems.

Author
borene8991
Language
EN