"Developing machine learning models of self-reported and register-based data to predict eating disorders in adolescence" [0.03%]
“利用自填式和基于登记的数据开发机器学习模型以预测青少年的饮食紊乱”
Alexandros Katsiferis,Andrea Joensen,Liselotte Vogdrup Petersen et al.
Alexandros Katsiferis et al.
Early detection and prevention of eating disorders (EDs) in adolescence are crucial yet challenging. We developed and validated diagnostic and prognostic models to predict EDs using data from 44,357 Danish National Birth Cohort participants...
Personalizing a mental health texting intervention using reinforcement learning [0.03%]
使用增强学习个性化心理健康短信干预措施
Marvyn R Arévalo Avalos,Karina Rosales,Chris Karr et al.
Marvyn R Arévalo Avalos et al.
StayWell is a 60-day CBT/DBT-based text messaging intervention which leverages reinforcement learning algorithms to support mental health. Participants were randomly assigned to receiving personalized messaging (adaptive arm), static messag...
Identifying psychiatric manifestations in outpatients with depression and anxiety: a large language model-based approach [0.03%]
基于大型语言模型识别抑郁和焦虑门诊患者的心理表现
Shihao Xu,Yiming Yan,Yanli Ding et al.
Shihao Xu et al.
Accurate psychiatric diagnosis and assessment are crucial for effective treatment. However, current diagnostic approaches heavily rely on subjective observations constrained by time and clinical resources. This study investigates the potent...
FDA-authorized software as a medical device in mental health: a perspective on evidence, device lineage, and regulatory challenges [0.03%]
美国食品和药物管理局授权的心理健康软件医疗器械：关于证据、设备传承性和监管挑战的观点
Julian Herpertz,Ariel D Stern,Nils Opel et al.
Julian Herpertz et al.
FDA approval is widely regarded as a benchmark of quality for medical devices. However, concerns persist regarding its regulatory framework for digital mental health devices. This perspective article examined FDA-authorized Software as a Me...
Reply to: A response to loneliness and suicide mitigation for students using GPT3-enabled chatbots [0.03%]
孤独和自杀干预回应：利用GPT-3技术的聊天机器人对学生进行心理支持回复论文
Bethanie Maples,Merve Cerit,Aditya Vishwanath et al.
Bethanie Maples et al.
This reply addresses concerns raised in the Matters Arising letter, emphasizing the rigor of our empirical study on student well-being outcomes with ISAs. We clarify methodological decisions, address speculative claims regarding Replika's m...
Matters arising: a response to loneliness and suicide mitigation for students using GPT3-enabled chatbots [0.03%]
应对孤独和防止学生自杀的GPT3启用聊天机器人的方法响应
Julia Witte Zimmerman,Alejandro J Ruiz
Julia Witte Zimmerman
In their recent paper1, Maples et al. surveyed users of the Replika app2. Among their results, they reported that participants were relatively lonely and used Replika for diverse purposes, and emphasized that "3% reported that Replika halte...
Exploring negative experiences in psychotherapy using an NLP approach on online forum data [0.03%]
基于在线论坛数据的自然语言处理在探索心理治疗中的负面体验中的应用
Tobias Steinbrenner,Christopher Lalk,Alin Kabjesz et al.
Tobias Steinbrenner et al.
Negative experiences with psychotherapy are common, affecting 3-25% of patients. However, their causes remain underexplored despite their substantial impact on therapy outcomes. Online forums provide unique insights into patients' concerns ...
Applying lessons learned from public health crises to expand peer support specialists in youth mental health services [0.03%]
从公共卫生危机中汲取教训，扩大同伴支持专家在青年心理健康服务中的应用
Tara G Mehta,Marc S Atkins,Erika L Gustafson et al.
Tara G Mehta et al.
COVID-19 exposed issues in our mental health system, prompting an emergency advisory from the Surgeon General on youth mental health. This Comment offers two lessons drawn from empirically supported aspects of a public health model to guide...
Francesco Pagnini,Francesca Grosso,Cesare Cavalera et al.
Francesco Pagnini et al.
Prosocial behavior, the act of helping others, is essential to social life, yet spontaneous environmental triggers for such behavior remain underexplored. This study tested whether an unexpected event, such as the presence of a person dress...
Assessing mental health in individuals near thermal power plants and development of depression predictive model [0.03%]
评估热电厂附近个体的心理健康及抑郁预测模型的开发
Khaiwal Ravindra,Abhishek Kumar,Nitasha Vig et al.
Khaiwal Ravindra et al.
Depression, anxiety, and stress are major mental health concerns globally, especially in India. This study examines the prevalence of mental health symptoms in overweight and normal BMI individuals living near thermal power plants and devel...