@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？

自2009年以来对心理健康的联邦资金已经由$ 1.5十亿增加，在过去七年。澳大利亚每年在精神卫生服务是卫生预算的8％。这是低于大多数发达国家谁12％，其对精神卫生预算的18％的花费。对心理健康的更多支出的支持者指出，精神分裂症是澳大利亚的原住民社区的一个主要问题，即它比城市高出三倍。

Answer Overview

Response rates from 238k 澳大利亚 voters.

91%
是的
9%
不
82%
是的
9%
不
9%
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
0%
不应该，而是应该鼓励私营公司来解决这一问题
0%
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…9mos9MO

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.