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OpenMed

 		Research  ·  Learning


		Computational learning research focuses on the mechanisms of perception, memory and conceptual reasoning,
		drawing from neurobiology, computer science and statistical methods.

		This group is primarily responsible for developing and operating the Learning Health Systems at Balanced City,
		supporting machine learning applications like AutoML in partnership with Medical Ontologies research group.

		Contributors apply automated methods of feature learning and entity recognition within the high-dimensional
		feature space of medical data.


















LearningLearning drives everything
Learning Research Group
Open | Enrolling



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