{"title":"迈向全面、智能的性别失调症护理模式","authors":"Maya Krayneva","doi":"10.26599/TST.2023.9010151","DOIUrl":null,"url":null,"abstract":"The gender-affirmative model of care has proven unsuccessful in many cases of gender dysphoria. There is a pressing need to continue research and develop and implement alternative models of care. Personalised models of care need to replace the standardised ones to reflect the unique nature of internal issues that exist within every individual. A holistic care model that includes Physical, Mental, Emotional, Social, and Spiritual (PMESS) aspects of a person's wellbeing indicates an effective way forward. Such a multidimensional model enables a greater understanding of complex relationships between different factors and their effects on health and overall wellbeing. Empowered by intelligent technologies, such as data mining and Artificial Intelligence (AI), the PMESS model can systematically capture, analyse, and evaluate data across the multiple dimensions of the holistic model of care. It can help identify patterns within the data, generate useful insights, and support the development of effective prevention and personalized treatment strategies. The PMESS-AI model supports the collaboration between multiple stakeholders, and the machine learning aspects of it can usher in the discovery of new knowledge and breakthroughs in research.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 2","pages":"624-632"},"PeriodicalIF":6.6000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10786918","citationCount":"0","resultStr":"{\"title\":\"Towards a Holistic and Intelligent Model of Care for Gender Dysphoria\",\"authors\":\"Maya Krayneva\",\"doi\":\"10.26599/TST.2023.9010151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The gender-affirmative model of care has proven unsuccessful in many cases of gender dysphoria. There is a pressing need to continue research and develop and implement alternative models of care. Personalised models of care need to replace the standardised ones to reflect the unique nature of internal issues that exist within every individual. A holistic care model that includes Physical, Mental, Emotional, Social, and Spiritual (PMESS) aspects of a person's wellbeing indicates an effective way forward. Such a multidimensional model enables a greater understanding of complex relationships between different factors and their effects on health and overall wellbeing. Empowered by intelligent technologies, such as data mining and Artificial Intelligence (AI), the PMESS model can systematically capture, analyse, and evaluate data across the multiple dimensions of the holistic model of care. It can help identify patterns within the data, generate useful insights, and support the development of effective prevention and personalized treatment strategies. The PMESS-AI model supports the collaboration between multiple stakeholders, and the machine learning aspects of it can usher in the discovery of new knowledge and breakthroughs in research.\",\"PeriodicalId\":48690,\"journal\":{\"name\":\"Tsinghua Science and Technology\",\"volume\":\"30 2\",\"pages\":\"624-632\"},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2024-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10786918\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tsinghua Science and Technology\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10786918/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Multidisciplinary\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tsinghua Science and Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10786918/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Multidisciplinary","Score":null,"Total":0}
Towards a Holistic and Intelligent Model of Care for Gender Dysphoria
The gender-affirmative model of care has proven unsuccessful in many cases of gender dysphoria. There is a pressing need to continue research and develop and implement alternative models of care. Personalised models of care need to replace the standardised ones to reflect the unique nature of internal issues that exist within every individual. A holistic care model that includes Physical, Mental, Emotional, Social, and Spiritual (PMESS) aspects of a person's wellbeing indicates an effective way forward. Such a multidimensional model enables a greater understanding of complex relationships between different factors and their effects on health and overall wellbeing. Empowered by intelligent technologies, such as data mining and Artificial Intelligence (AI), the PMESS model can systematically capture, analyse, and evaluate data across the multiple dimensions of the holistic model of care. It can help identify patterns within the data, generate useful insights, and support the development of effective prevention and personalized treatment strategies. The PMESS-AI model supports the collaboration between multiple stakeholders, and the machine learning aspects of it can usher in the discovery of new knowledge and breakthroughs in research.
期刊介绍:
Tsinghua Science and Technology (Tsinghua Sci Technol) started publication in 1996. It is an international academic journal sponsored by Tsinghua University and is published bimonthly. This journal aims at presenting the up-to-date scientific achievements in computer science, electronic engineering, and other IT fields. Contributions all over the world are welcome.