연구동향 분석

Post–COVID-19 시대의 새로운 정신건강서비스: 자폐범주성장애에의 적용 현황

정경미 정은선 2020년

논문상세정보
인용/피인용
' Post–COVID-19 시대의 새로운 정신건강서비스: 자폐범주성장애에의 적용 현황' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Post–COVID-19
  • autism spectrum disorder (asd)
  • digital phenotyping
  • digital therapeutics
  • informationandcommunicationtechnology(ict)
  • 디지털 치료제
  • 디지털 표현형
  • 자폐스펙트럼장애(asd)
  • 정보통신기술(ict)
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
118 0

0.0%

' Post–COVID-19 시대의 새로운 정신건강서비스: 자폐범주성장애에의 적용 현황' 의 참고문헌

  • 한국과 미국의 정신건강서비스 체계 비교: 지역사회 현장에서 임상심리학자의 역할
    유득권 [2018]
  • 포항지진트라우마센터, 비대면 화상 심리상담 시범 운영
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  • 코로나19 시대의 우울... ‘마음 거리두기’로인한 병의 예방은?
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  • 장애아 보육시설의 물리적환경 실태조사
    김민경 [2007]
  • 에임메드, 불면증 디지털 치료제 기술 개발 과제 최종 선정
  • 심리방역, 용어는 어렵지만 별 거 아닙니다
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  • “시무룩하게 달력만 봐” 코로나에 갈 곳 없는발달장애 아이들
  • Whole-body movement during videogame play distinguishes youth with Autism from youth with typical development
    Ardalan, A. [2019]
  • What will be the impact of the Covid-19 pandemic on healthcare systems?
  • Wearable device adoption is growing, but engagement still drops after six months
  • Virtual technologies trends in education
  • Virtual reality social cognition training for children with high functioning autism
  • Virtual reality meets artificial intelligence : The emergence of advanced digital therapeutics and digital biomarkers
    Riva, G. [2019]
  • Using smartphones to monitor bipolar disorder symptoms: A pilot study
  • Using iPads to teach communication skills of students with autism
    Xin, J. F. [2015]
  • Using Twitter to detect psychological characteristics of self-identified persons with autism spectrum disorder: A feasibility study
    Hswen, Y. [2019]
  • Use of assistive technology in cognitive rehabilitation : Exploratory studies of the opinions and expectations of healthcare professionals and potential users
  • Tracking depression dynamics in college students using mobile phone and wearable sensing
    Wang, R. [2018]
  • Toward the autism motor signature: Gesture patterns during smart tablet gameplay identify children with autism
  • Toward clinical digital phenotyping: A timely opportunity to consider purpose, quality, and safety
  • The impact of child problem behaviors of children with ASD on parent mental health : The mediating role of acceptance and empowerment
  • The efficacy of smartphone‐based mental health interventions for depressive symptoms : A meta‐analysis of randomized controlled trials
    Firth, J. [2017]
  • The digital phenotype
    Jain, S. H. [2015]
  • The RDoC framework : Facilitating transition from ICD/DSM to dimensional approaches that integrate neuroscience and psychopathology
  • The NIMH research domain criteria(RDoC)project : Precision medicine for psychiatry
  • Technology-aided interventions and instruction for adolescents with autism spectrum disorder
    Odom, S. L. [2015]
  • Technology-aided instruction and intervention for students with ASD : A meta-analysis using novel methods of estimating effect sizes for single-case research
  • Social skills interventions for children with Asperger’s syndrome or high-functioning autism: A review and recommendations
    Rao, P. A. [2008]
  • SimSensei Kiosk: A virtual human interviewer for healthcare decision support
    DeVault, D [2014]
  • Sensory processing in adults with autism spectrum disorders
    Crane, L. [2009]
  • Research domain criteria(RDoC) : Toward a new classification framework for research on mental disorders
    Insel, T. [2010]
  • Relapse prediction in schizophrenia through digital phenotyping : A pilot study
    Barnett, I. [2018]
  • Real-time schizophrenia monitoring using wearable motion sensitive devices
    Tron, T. [2017]
  • Predicting mood disturbance severity with mobile phone keystroke metadata: A biaffect digital phenotyping study
    Zulueta, J. [2018]
  • Precision medicine and suicide : An opportunity for digital health
  • Potential for digital behavioral measurement tools to transform the detection and diagnosis of autism spectrum disorder
    Dawson, G. [2019]
  • Pear’s digital therapeutic reSET-O FDA cleared to treat opioid use disorder
  • Online communication about depression and anxiety among twitter users with schizophrenia : Preliminary findings to inform a digital phenotype using social media
    Hswen, Y. [2018]
  • Online and mobile technologies for self-management in bipolar disorder : A systematic review
    Gliddon, E. [2017]
  • Objective assessment of depressive symptoms with machine learning and wearable sensors data
  • New tools for new research in psychiatry: A scalable and customizable platform to empower data driven smartphone research
    Torous, J. [2016]
  • New dimensions and new tools to realize the potential of RDoC: Digital phenotyping via smartphones and connected devices
    Torous, J. [2017]
  • Needed innovation in digital health and smartphone applications for mental health: Transparency and trust
    Torous, J. [2017]
  • Multimodal e-mental health treatment for depression: A feasibility trial
    Mohr, D. C. [2010]
  • Mood prediction of patients with mood disorders by machine learning using passive digital phenotypes based on the circadian rhythm: Prospective observational cohort study
    Cho, C. H. [2019]
  • Monitoring social anxiety from mobility and communication patterns
  • Look me in the eye : Evaluating the accuracy of smartphone-based eye tracking for potential application in autism spectrum disorder research
  • Innovative technology-based interventions for autism spectrum disorders : A meta-analysis
  • Identification of biological mechanisms underlying a multidimensional ASD phenotype using machine learning
    Asif, M. [2020]
  • Harnessing smartphone-based digital phenotyping to enhance behavioral and mental health
  • Growing up with autism: Working with school-age children and adolescents
    Golan, O. [2007]
  • Gender differences in treatment response to sertraline versus imipramine in chronic depression
  • Gender differences in depression in representative national samples : Meta-analyses of diagnoses and symptoms
    Salk, R. H. [2017]
  • From game design elements to gamefulness: defining gamification
  • FDA clears mobile medical app to help those with opioid use disorder stay in recovery programs
  • FDA Permits Marketing of First Game-Based Digital Therapeutic to Improve Attention Function in Children with ADHD
  • Evidence-based practices for children, youth, and young adults with autism spectrum disorder:A comprehensive review
    Wong, C. [2015]
  • Enhancing social problem solving in children with autism and normal children through computer-assisted instruction
  • Enhance emotional and social adaptation skills for children with autism spectrum disorder : A virtual reality enabled approach
    Ip, H. H. [2018]
  • Enforcement Policy for Digital Health Devices For Treating Psychiatric Disorders During the Coronavirus Disease 2019 (COVID-19) Public Health Emergency Guidance for Industry and Food and Drug Administration Staff
  • Efficacy of PRIME, a mobile app intervention designed to improve motivation in young people with schizophrenia
  • Effectiveness of virtual reality for children and adolescents with autism spectrum disorder : An evidence-based systematic review
  • Digital phenotyping for assessment and prediction of mental health outcomes:A scoping review protocol
  • Digital phenotyping : Technology for a new science of behavior
  • Digital Therapeutics: Emerging New Therapy for Neurologic Deficits after Stroke
    Mi Joo Choi [2019]
  • Digital Therapeutics Market to Reach $9.64 Bn, Globally, by 2026: Allied Market Research
  • Diagnostic and statistical manual of mental disorders: DSM-5
  • Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
  • Detecting bipolar depression from geographic location data
    Palmius, N. [2016]
  • Designing effective movement digital biomarkers for unobtrusive emotional state mobile monitoring
    Mehrotra, A [2017]
  • Data-driven diagnostics and the potential of mobile artificial intelligence for digital therapeutic phenotyping in computational psychiatry
  • Correlations between objective behavioral features collected from mobile and wearable devices and depressive mood symptoms in patients with affective disorders: Systematic review
  • Coronavirus research updates: Powerful new evidence links steroid treatment to lower deaths
  • Continuous monitoring and detection of post-traumatic stress disorder (PTSD) triggers among veterans: A supervised machine learning approach
  • Computer-assisted learning for improving ADHD individuals’ executive functions through gamified interventions : A review
  • Comprehensive guide to Autism
    Smith, V. [2014]
  • Comparison of depression and anxiety between housewife and employed pregnant women
    Dawood, E. [2018]
  • Children with autism spectrum disorder produce more ambiguous and less socially meaningful facial expressions : An experimental study using random forest classifiers
  • Can smartphone mental health interventions reduce symptoms of anxiety? A meta-analysis of randomized controlled trials
    Firth, J. [2017]
  • COVID-19 significantly impacts health services for noncommunicable diseases
  • Beyond Googling : The ethics of using patients’ electronic footprints in psychiatric practice
  • Behavioral treatment and normal educational and intellectual functioning in young autistic children
  • Behavioral improvements associated with computer-assisted instruction for children with developmental disabilities
    Whalen, C. [2006]
  • Behavioral activities collected through smartphones and the association with illness activity in bipolar disorder
  • Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder
    Dawson, G. [2018]
  • Akili Announces FDA Clearance of EndeavorRxTM for Children with ADHD, the First Prescription Treatment Delivered Through a Video Game
  • Agile development of a prescription digital therapeutic for patients with schizophrenia
  • Age differences in temperament, character and depressive mood: A cross‐sectional study
  • Adding an Internet-delivered treatment to an efficacious treatment package for opioid dependence
  • Activity monitoring using a mHealth device and correlations with psychopathology in patients with chronic schizophrenia
    Shin, S. [2016]
  • Acceptability of internet-based cognitive behavioural therapy(i-CBT)for post-traumatic stress disorder(PTSD) : A systematic review
    Simon, N. [2019]
  • Accelerating digital mental health research from early design and creation to successful implementation and sustainment
    Mohr, D. C. [2017]
  • ADHD 진단을 위한 전산화 신경인지 기능검사의 유용성
    구본훈 [2006]
  • 66% of Americans Remain Worried About Exposure to COVID-19
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