Machine Learning for Maternal Health

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During this past summer, experts and professionals in the field of machine learning in improving maternal healthcare gathered together in Dhaka, Bangladesh for a highly informative and engaging workshop.  Founder and former Director of CHIP, Dr. Javed Mostafa and CHIP PhD student Mohammad Kibria, led a certificate course titled "Analytics & Machine Learning Techniques for Maternal and Health Interventions".  The event was a joint effort with School of Health Life Sciences at North South University in Dhaka and University of North Carolina at Chapel Hill.  During the course, Dr. Mostafa spoke of the value of using machine learning to predict pregnancy risks, which allowed for earlier patient counseling and risk prevention.  Kibria led an interactive session to show the benefits of cloud computing in healthcare data management, which allows for greater flexibility and increased accessibility.  The training provided valuable insights and in-depth knowledge on the crucial intersection of machine learning and maternal health. The recognition and interest the workshop garnered was a testament to the importance and relevance of machine learning in the field of maternal healthcare.