94% Yes |
6% No |
85% Yes |
5% No |
6% Yes, our mental healthcare system needs more funding to provide a higher quality of care and services |
1% No, incentivize private companies to address this issue instead |
3% Yes, but only increase funding for personalized care instead of subsidizing pharmaceutical companies |
See how support for each position on “Mental Health” has changed over time for 3.4k Philippines voters.
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See how importance of “Mental Health” has changed over time for 3.4k Philippines voters.
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Unique answers from Philippines users whose views extended beyond the provided choices.
@8RQXF9G3yrs3Y
No, Unless the government lowers the taxes that hospitals are paying them. Somehow, It's already Impossible. Look at the media right now, Do you think the government that has billions of pesos burrowed from the US would help fund hospitals? No, they can't cause they don't have enough budget but they do have a lot of budget to rebuild metro Manila am I right? It's all sunshine and rainbow in corporate city and the outside of it are trusses houses that our media feature on documentaries every once in a while that ruins the image of successful filipinos.
@8LWJR8H3yrs3Y
Yes but little because again, I must state
Stay up-to-date on the most recent “Mental Health” news articles, updated frequently.
@ISIDEWITH1wk1W
A long-awaited review by consultant paediatrician Hilary Cass into the NHS’s gender services for children calls for a dramatic shift in the type of treatment offered to children and young people with gender dysphoria.The report proposes that instead of being offered mainly medical treatment, young people referred to NHS gender services should “receive a holistic assessment of their needs to inform an individualised care plan”, meaning that questions of gender identity should be treated alongside other possible mental health concerns.It found that a medical pathway, such as puberty blockers, would not necessarily be the best option for children with gender dysphoria, and should not be provided “without also addressing wider mental health and/or psychosocially challenging problems”. The review suggests this “should include screening for neurodevelopmental conditions, including autism spectrum disorder, and a mental health assessment”.
@SeahorseFrankie4mos4MO
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.
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