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		TeachML.life
		Teaching the Learning Health Systems      NCATS Conversations AI & Healthcare Data Science Basics Reading a Scientific Article



			Machine Teaching   

			Help Teach the Learning Health Systems
			OpenMD.life is a machine teaching ¹
			ecosystem.

			This page describes how users teach
			the Learning Health Systems ²


			 ·	Error Correction

				and

			 ·	Learning New Concepts





			
Error Correction Just Highlight and Press 'E' Highlight the text that contains the error. Then press 'E' ... for Error on your keyboard. In the example below, the computer has incorrectly linked to digitalis, a plant extract used in the treatment of heart failure.
"...Therefore, faculties of medicine need to rapidly and adequately digitalise their approaches to teaching." PLoS One
Highlighting the text that contains the error and pressing 'E' on your keyboard teaches the computer. Try it now. This is one of the ways computers learn. Reporting the error lets the computer know that it made a mistake. Errors are sent to editors and are used to teach the text processing programs of the Learning Health Systems, contributing to continuous improvement. If you see an error, just highlight it and then press 'E' on your keyboard.
Learning New Concepts Just Highlight and Press 'L' OpenMD became popular because it can read and learn without any difficulty.
teaching machines online education data science lab optimal conditions self instruction personalized curriculum
Highlight the text you want it to learn and then just press 'L' ... for Learn using your computer keyboard. Try it now. OpenMD is learning millions of concepts from medical journals, clinical trials and medical databases. ³ Recommend concepts by highlighting text on any of the 30 million pages on OpenMD and then just press 'L' ... for Learn. Text processing programs are upgraded frequently with learning recommendations. Your recommendations teach and drive Automated Machine Learning (AutoML) and the Medical Ontology. The knowledge created benefits everyone. Just highlight and press 'L'. Celebrating Teachers Teaching Machine Teaching Emma Brunskill is an Assistant Professor at Stanford University in Computer Science and Stanford Graduate School of Education. The Brunskill Group ⇗ studies personalized learning and sequential decision making.
Emma Brunskill Brunskill Group Profile ⇗
"My goal is to create AI systems that learn from few samples to robustly make good decisions, motivated by our applications to healthcare and education."
launch ⇗ CS234: Reinforcement Learning Winter 2021 ⇗ PubMed 32541050 Scaling up behavioral science interventions in online education 31754000 Preventing undesirable behavior of intelligent machines 26400190 Faster Teaching via POMDP Planning Related Concepts Memory · Intelligence · Learning How Knuth Requests Error Reporting "I wish to give as much credit as possible..." Read how Donald Knuth ⇗ requests error reporting for traditional textbook errors and current balances ⇗ for readers who find them. cs.stanford.edu/~knuth/books.html ⇗ The National Academies of the United States of America This organization is based on the vision of a Learning Health System advanced by the National Academy of Medicine. Mission Driven Creators Serving the Highest Calling Balanced City's mission is to provide maximum benefit to society through free public health applications. Enjoy using and sharing these free medical science utilities. This page TeachML.life OpenMD OpenMD.life For more on Balanced City visit BalancedCity.org Print