@ISIDEWITHQuestions医保11yrs ago

政府应该增加对精神健康研究和治疗的资金投入吗？

In July 2022 the federal government approved a $21 billion funding package for mental-health and substance-use disorders. The spending package was in response to a jump in substance abuse and a suicide rate that increased 33% from 1999 through 2017, making it the 10th-leading cause of death in the U.S, according to the most recent federal data.

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Response rates from 2.8k San Antonio voters.

86%
是的
14%
不
75%
是的
10%
不
6%
应该，我们的精神健康护理系统需要更多资金以提供更高质量的关怀和服务
4%
不应该，而是应该鼓励私营公司来解决这一问题
5%
应该，但是只应增加个性化护理方面的资金，而不是资助制药公司
0%
No, and too many people are abusing the system by making false disability claims
0%
No, and the government should not be involved in healthcare

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 @SeahorseFrankie from Illinois linked…12mos12MO

AI predicts when you will die

Researchers have developed an algorithm that uses the story of a person's life to predict their future and it is accurate about 78 per cent of the time.They now have a model that understands everyday language and can guess at things like if someone might die young or how much they could earn in their lifetime.The study shows being a boy, having mental health problems or working skilled jobs can mean shorter lifespans, while earning lots of money or leading other people can add years to your life. The system, life2vec, treats each part of your life story like bits in a sentence to guess what's coming up based on whats already happened.Scientists have developed a new AI system called life2vec that uses data from 2008 to 2016 to predict simple questions like "death within four years?" for any given person. Scarily enough, it correctly guessed who would die by 2020 over three-quarters of the time.Sune Lehmann, the lead researcher, says that the system isn't open to the public or companies, to meet GDPR standards and keep private information safe: "We are actively working on ways to share some of the results more openly, but this requires further research to be done in a way that can guarantee the privacy of the people in the study."The report was published in Nature Computational Science. Sune Lehmann, a professor at Denmark Technical University, explained how life2vec works. He said it's similar to language models like ChatGPT: it learns from a vast amount of pre-existing written data, except life2vec is taught using data from people's lives.Sentences like "In September 2012, Francisco received twenty thousand Danish kroner as a guard at a castle in Elsinore" or "During her third year at secondary boarding school, Hermione followed five elective classes." were given different tokens by the scientists. These pieces of data were all mapped out in relation to each other.