Fauci first arrest? It would be shocking, MSM spinning emails as Fauci having exhausting work but still persevering in his COVID Efforts.
manufacturing crisis
"NEW SOCIETY"
Membership in Methodist Hospital's new "society" has its rewards and the docs love it
By Shelby Hodge
Feb 7, 2013, 4:24 pm
ith Estela and David Cockrell at the helm as chairs and with Dr. Marc Boom as the charming pitch man, who wouldn't be inspired to join Methodist Hospital Systems' Society for Leading Medicine? The new leadership giving program launched into reality at a cocktail gathering at the Houston Ballet Center for Dance.
Boom, CEO of Methodist Hospital Systems, inspired with commentary on the system's three areas of focus —clinical care, the research institute and the system's educational mission.
In addition to the social heavyweights, a number of doctors from Methodist joined the evening, including three who spoke briefly — Dr. Patrick McCulloch, physician for Houston Ballet specializing in orthopedic surgery and sports medicine and physician for Houston Ballet; Dr. Ennio Tasciotti, co-chair of the nanomedicine department; and Dr. David Baskin in the neurosurgery department.
Benefits of membership (starting at $1,000) include educational and social events, tours of the hospital with Methodist experts, events in private homes featuring information on the latest breakthroughs and the opportunity to support the work of Methodist physicians, researchers and faculty. In only a few weeks since the initial membership drive began, the Society for Leading Medicine already has more than 100 members.
Lending an ear to the proceedings were Janet and Ernie Cockrell, Nancy and Jack Dinerstein, Julie Boom, Laura and William Wheless, Ashley and John Stevens, Todd Frazier, Sara Jane and Ross Canion, Michelle and Jeffrey Foutch, Patti and Richard Everett, Neda Ladjevardian and Bill King.
Utilizing machine learning-based approaches for the detection and classification of human papillomavirus (HPV) vaccine misinformation: Infodemiology Study of Reddit Discussions (Preprint)
December 2020
DOI:10.2196/preprints.26478
ACKGROUND The rapid growth of social media as an information channel has made it possible to quickly spread inaccurate or false vaccine information and thus create obstacles for vaccine promotion. OBJECTIVE To develop and evaluate an intelligent automated protocol to identify and classify HPV vaccine misinformation on social media, using machine learning (ML)-based methods. METHODS Reddit posts (2007-2017, n=28,121) were compiled that contained human papillomavirus (HPV) vaccine related keywords. A random subset (n=2200) was manually labeled for misinformation, serving as a gold standard corpus for evaluation. Five ML-based algorithms, including support vector machines (SVM), logistics regression (LR), extremely randomized trees (ET), convolutional neural network (CNN) and recurrent neural network (RNN), designed to identify vaccine misinformation, were evaluated for identification performance. Topic modeling was applied to identify the major categories associated with HPV vaccine misinformation. RESULTS A convolutional neural network model achieved the highest AUC at 0.7943. Of 28,121 Reddit posts, 7,207 (25.63%) were classified as vaccine misinformation with discussions about general safety issues identified as the leading type misinformed posts (37%). CONCLUSIONS ML-based approaches are effective in the identification and classification of HPV vaccine misinformation from Reddit and may be generalizable to other social media platforms. ML -based methods may provide the capacity and utility to meet the challenge for intelligent automated monitoring and classification of public health misinformation in social media networks. The timely identification of vaccine misinformation online is a first step for misinformation correction and vaccine promotion. CLINICALTRIAL
https://www.researchgate.net/scientific-contributions/Julie-A-Boom-40008676