Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic [0.03%]
自然语言处理分析疫情下精神疾病的心理和社会压力因素
María P Raveau,Julián I Goñi,José F Rodríguez et al.
María P Raveau et al.
Over the past few years, the COVID-19 pandemic has exerted various impacts on the world, notably concerning mental health. Nevertheless, the precise influence of psychosocial stressors on this mental health crisis remains largely unexplored...
Publisher Correction: A corticostriatal pathway mediating self-efficacy enhancement [0.03%]
出版更正：一条调节自我效能增强的皮层纹状体通路
Ofir Shany,Guy Gurevitch,Gadi Gilam et al.
Ofir Shany et al.
Published Erratum
Npj mental health research. 2022 Jul 25;1(1):7. DOI:10.1038/s44184-022-00007-6 2022
Predicting state level suicide fatalities in the united states with realtime data and machine learning [0.03%]
基于实时数据和机器学习预测美国各州自杀死亡率
Devashru Patel,Steven A Sumner,Daniel Bowen et al.
Devashru Patel et al.
Digital trace data and machine learning techniques are increasingly being adopted to predict suicide-related outcomes at the individual level; however, there is also considerable public health need for timely data about suicide trends at th...
The impact of mindfulness apps on psychological processes of change: a systematic review [0.03%]
正念应用程序对心理改变过程的影响：系统综述
Natalia Macrynikola,Zareen Mir,Tishmattie Gopal et al.
Natalia Macrynikola et al.
Mindfulness-based interventions (MBIs) have demonstrated therapeutic efficacy for various psychological conditions, and smartphone apps that facilitate mindfulness practice can enhance the reach and impact of MBIs. The goal of this review w...
A computational approach to measure the linguistic characteristics of psychotherapy timing, responsiveness, and consistency [0.03%]
一种计算方法，用于测量心理治疗过程中的时间感、回应性和一致性的语言特征
Adam S Miner,Scott L Fleming,Albert Haque et al.
Adam S Miner et al.
Although individual psychotherapy is generally effective for a range of mental health conditions, little is known about the moment-to-moment language use of effective therapists. Increased access to computational power, coupled with a rise ...
Kaining Mao,Yuqi Wu,Jie Chen
Kaining Mao
Assessing mental health disorders and determining treatment can be difficult for a number of reasons, including access to healthcare providers. Assessments and treatments may not be continuous and can be limited by the unpredictable nature ...
Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation [0.03%]
大型语言模型可能改变行为健康护理的未来：负责任地开发和评估的建议
Elizabeth C Stade,Shannon Wiltsey Stirman,Lyle H Ungar et al.
Elizabeth C Stade et al.
Large language models (LLMs) such as Open AI's GPT-4 (which power ChatGPT) and Google's Gemini, built on artificial intelligence, hold immense potential to support, augment, or even eventually automate psychotherapy. Enthusiasm about such a...
Catatonia in autism and other neurodevelopmental disabilities: a state-of-the-art review [0.03%]
孤独症和其他神经发育障碍中的类木僵状态：最新研究进展综述
Shavon Moore,Debha N Amatya,Michael M Chu et al.
Shavon Moore et al.
Individuals with neurodevelopmental disabilities (NDDs) may be at increased risk for catatonia, which can be an especially challenging condition to diagnose and treat. There may be symptom overlap between catatonia and NDD-associated behavi...
Association between continuity of care and attendance of post-discharge follow-up after psychiatric emergency presentation [0.03%]
连续医疗服务与精神病急诊后的随访就诊之间的关系分析
Ben Hoi-Ching Wong,Petrina Chu,Paul Calaminus et al.
Ben Hoi-Ching Wong et al.
The number of accident and emergency (A&E) hospital attendances by young people aged 18 or under with a recorded diagnosis of a psychiatric condition more than tripled between 2010 and 2022. After discharge from the hospital, attendance at ...
Systematic review of machine learning in PTSD studies for automated diagnosis evaluation [0.03%]
系统评价：机器学习在PTSD研究中自动化诊断评估中的应用
Yuqi Wu,Kaining Mao,Liz Dennett et al.
Yuqi Wu et al.
Post-traumatic stress disorder (PTSD) is frequently underdiagnosed due to its clinical and biological heterogeneity. Worldwide, many people face barriers to accessing accurate and timely diagnoses. Machine learning (ML) techniques have been...