Monday, April 13, 2020

COVID-19 Related

COVID-19 Related

Data Sources and Applications

Articles
Video

Thursday, December 26, 2019

Prevalence of Diabetes by Race and Ethnicity in the United States, 2011-2016


Prevalence of Diabetes by Race and Ethnicity in the United States, 2011-2016
YJ Cheng, AM Kanaya, MRG Araneta, et al. JAMA 2019;322(24):2389-2398

Key Points

Question  During 2011-2016, how prevalent was diabetes among major race/ethnicity groups and subgroups of Hispanic and non-Hispanic Asian adults in the United States?
Findings  In this cross-sectional study that included 7575 adults, the age- and sex-adjusted diabetes prevalence was 12.1% for non-Hispanic white, 20.4% for non-Hispanic black, 22.1% for Hispanic, and 19.1% for non-Hispanic Asian groups. The diabetes prevalence also differed significantly among Hispanic or non-Hispanic Asian subgroups.
Meaning  In the United States in 2011-2016, the prevalence of diabetes varied across racial/ethnic groups.
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News etc.

Friday, May 17, 2019

A brief history of AI, machine learning, artificial neural networks, and deep learning

A brief history of AI, machine learning, artificial neural networks, and deep learning
TheScientist, Jef Akst (2019)
"The term “artificial intelligence” dates back to the mid-1950s, when mathematician John McCarthy, widely recognized as the father of AI, used it to describe machines that do things people might call intelligent. He and Marvin Minsky, whose work was just as influential in the AI field, organized the Dartmouth Summer Research Project on Artificial Intelligence in 1956. A few years later, with McCarthy on the faculty, MIT founded its Artificial Intelligence Project, later the AI Lab. It merged with the Laboratory for Computer Science (LCS) in 2003 and was renamed the Computer Science and Artificial Intelligence Laboratory, or CSAIL"