Machine Learning in Healthcare: Fundamentals & Applications

Sonya Makhni is an instructor at Northeastern University, where she is involved in teaching and developing courses that emphasize practical applications of knowledge in various fields. She has a strong background in her area of expertise and actively contributes to online education through platforms like Coursera. Her courses are designed to enhance learning and provide students with valuable skills applicable in real-world scenarios. For more detailed information about her courses and professional background, you can visit her profile on Coursera.

Paul Cerrato is a Visiting Lecturer at Northeastern University’s D'Amore-McKim School of Business, where he teaches courses on data mining and machine learning, focusing on their applications in healthcare. With over 30 years of experience as a research analyst, medical journalist, and educator, Cerrato has made significant contributions to the understanding of clinical decision support systems, electronic health records, and health information security. His role as a Senior Research Analyst at the Mayo Clinic Platform allows him to explore innovative solutions in clinical data analytics and telemedicine. Cerrato has co-authored several influential books that discuss the intersection of healthcare and technology, including topics on artificial intelligence and mobile health. His extensive writing portfolio includes contributions to leading healthcare publications and recognition as one of the most influential voices in healthcare IT by HIMSS. Through his teaching and research, Cerrato continues to advocate for evidence-based practices that enhance patient care and improve healthcare delivery systems.