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

			Machine Teaching   
			Teach the Learning Health Systems  

			OpenMD.life is a machine teaching 
			health system.

			This page describes how users teach
			Automated Machine Learning. 

			 ·	Error Correction


			 ·	Learning New Concepts

Error Correction Just Highlight and Press E Highlight any text that contains an error. Then press E ... for Error on your keyboard. In the example below, text programs have 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 any text that contains an error and pressing E on your keyboard teaches the text processing programs. Try it now. This is one of the ways computers learn. Reporting the error lets the text programs know there is a mistake. Errors are sent to OpenMD.ai editors and drive 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.life became popular because it can read and learn without any difficulty. Anyone can highlight any text on any page and then just press L.
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Highlight any text you want it to learn and then just press L ... for Learn using your computer keyboard. Try it now. Recommend any text from any page among the 35 million on OpenMD.life including any article from any medical journal. Users drive continuous learning by recommending any text of interest, keywords, concepts, names and new medical terminology. Low-density lipoprotein cholesterol is a recent example. If you are an expert in your field or learning something for the first time, you can direct the computer to learn about anything, just highlight any text and press L. The text processing programs update daily using recommendations and they begin identifying and linking to medical concepts from the recommended text. Human collective intelligence teaches Automated Machine Learning using medical reference databases including PubMed, Clinical Trial Sponsors and the Human Reference Genome. We discover and create knowledge together. It's easy, just highlight and press L. Visit 2020 Year in Review and browse the most frequently requested content. Fund Machine Teaching Machine Teaching is funded by Cloudfund.life Add Funds and grow this public enterprise service.
launch ⇗ 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 This page TeachML.life Print