prevention program
Intelligent Optimization of Diversified Community Prevention of COVID-19 using Traditional Chinese Medicine
Zheng, Yu-Jun, Yu, Si-Lan, Yang, Jun-Chao, Gan, Tie-Er, Song, Qin, Yang, Jun, Karatas, Mumtaz
Traditional Chinese medicine (TCM) has played an important role in the prevention and control of the novel coronavirus pneumonia (COVID-19), and community prevention has become the most essential part in reducing the spread risk and protecting populations. However, most communities use a uniform TCM prevention program for all residents, which violates the "treatment based on syndrome differentiation" principle of TCM and limits the effectiveness of prevention. In this paper, we propose an intelligent optimization method to develop diversified TCM prevention programs for community residents. First, we use a fuzzy clustering method to divide the population based on both modern medicine and TCM health characteristics; we then use an interactive optimization method, in which TCM experts develop different TCM prevention programs for different clusters, and a heuristic algorithm is used to optimize the programs under the resource constraints. We demonstrate the computational efficiency of the proposed method and report its successful application to TCM-based prevention of COVID-19 in 12 communities in Zhejiang province, China, during the peak of the pandemic.
Google grants U of Sydney $1M to develop AI to prevent heart attacks
The University of Sydney's Westmead Applied Research Centre has been awarded a $1 million grant from technology giant Google to research and develop ways artificial intelligence could be used in digital tools to reduce the risk of heart attacks. Westmead Applied Research Centre will utilise the Google AI Impact challenge grant to create customised digital health tools that enable clinicians and health services to support more people to prevent cardiovascular disease. By combining clinical and consumer-derived data, such as from mobile phone apps and wearables, the program will offer tailored advice using machine learning to assess participants who have been to the hospital with chest pain, harnessing their digital footprint to reduce the risk of a heart attack. Dr. Harry Klimis, a cardiologist and researcher at WARC, explained to HealthcareITNews that modifiable risk factors account for more than 90 percent of the risk of heart attack worldwide. These include abnormal cholesterol, hypertension, smoking, excess alcohol consumption, physical inactivity, diabetes, obesity, psychosocial factors and diet.
How AI Is Addressing the Fraud in Advertising: Here's What You Need to Know
Given the online advertising boom in today's digital age, businesses need to learn to allocate their marketing dollars wisely. Unfortunately, there's a big challenge to meeting that goal: Advertising fraud and lackluster results are rife in the digital ad space. As a business owner, digital manager and entrepreneur, you've likely already experienced these issues, via paid Instagram ads that failed to achieve their intended results, or paid services like Google Adwords that had no conversions. To avoid such outcomes, you need to make sure your ads stand out and that you're spending your dollars on actual results -- not bot traffic. To clarify my Instagram example: Let's say that you paid Instagram to promote your post, and, all of a sudden, you start gaining a bunch of followers who, according to their account information, live in India and have only about five pictures each on their individual profiles. I'm no ad-fraud detective, but judging from the looks of that kind of new traffic, you'd be wise to question these followers' validity.