Lecture 6: Reception of Special Relativity

MIT 6.S897 Machine Learning for Healthcare, Spring 2019Instructor: Peter SzolovitsView the complete course: https://ocw.mit.edu/6-S897S19YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5jUploaded 22-10-20Prof. Szolovits gives a deep dive into clinical data, the types of data, and how the data can be standardized. MIMIC-III data is used to illustrate these points. He discusses the difficulties of medicine harmonization and interoperability.License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.edu Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

MIT 21M.383 Computational Music Theory and Analysis Spring 2023Instructor: Michael Scott Asato CuthbertView the complete course: https://ocw.mit.edu/courses/21m-383-computational-music-theory-and-analysis-spring-2023/YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62vSB2sI0W8lQFKsmS2-A6RUploaded 15-10-25This session covers questions about Problem Set 4, an in-class analysis of Bach and Haydn's works, close vs. distant listening, Problem Set 5 guidelines, and additional music21 tools.License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlWe encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

MIT 6.S897 Machine Learning for Healthcare, Spring 2019Instructor: Adam YalaView the complete course: https://ocw.mit.edu/6-S897S19YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5jUploaded 22-10-20Dr. Yala discusses deep learning models for mammogram interpretation and triaging. While many aspects of cancer detection based on mammograms are similar to those of natural image classification (ImageNet), there are some key differences.License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.edu Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

MIT 21M.383 Computational Music Theory and Analysis Spring 2023Instructor: Michael Scott Asato CuthbertView the complete course: https://ocw.mit.edu/courses/21m-383-computational-music-theory-and-analysis-spring-2023/YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62vSB2sI0W8lQFKsmS2-A6RUploaded 15-10-25The instructor presents a brief synopsis of topics covered by guest speakers in the past few class sessions.License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlWe encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

MIT 6.S897 Machine Learning for Healthcare, Spring 2019Instructor: Peter SzolovitsView the complete course: https://ocw.mit.edu/6-S897S19YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5jUploaded 22-10-20Prof. Szolovits discusses ways of improving medical care and narrowing performance distribution through decision support from local data and change-point detection to monitor rule firings. The Clinical Pathways COWpath study is used as an example.License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.edu Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices