The relationship between mobile phone location sensor data and depressive symptom severity

Saeb, Sohrab, Lattie, Emily G., Schueller, Stephen M., Kording, Konrad P., Mohr, David C.·2016·PeerJ
DOI 10.7717/peerj.2537

Cited by (311)

Items 201–300 of 311

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  19. Smartphone Usage
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  21. Introduction to Applied Affective Computing
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  22. Emotion Recognition in the Wild
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  23. Depression Detection via Influence-based Relabeling for Resolving Training Set Noise
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  24. A decision integration strategy algorithm to detect the depression severity level using wearable and profile data
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  25. Remote sensing mental health: A systematic review of factors essential to clinical translation from validation research
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  30. Mental health in a digitally fragmented world: Exploring negative and positive associations across spatial contexts and gender
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  31. Associations Between Depression Symptoms and Spatial Restriction in Fathers and Mothers on Parental Leave: A GPS-Tracking Study
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  32. Leveraging Mobile Technology to Support Goal Setting and Strategies of College Students
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  33. Reinforcement Learning and Affective Computing
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  34. Estimating Mental Health Using Human-generated Big Data and Machine Learning
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  46. Characteristic Latent Features for Analyzing Digital Mental Health Interaction and Improved Explainability
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  47. Remote monitoring of depression severity: A machine learning approach
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  49. Una contribución a la evaluación de la adherencia a hábitos de vida saludables basado en aplicaciones móviles
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  58. Future of Affective Computing and Applied Affective Computing
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  59. Multimodal Data Collection and Processing for Applied Affective Computing
    Leimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
  60. Preface
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  61. Bibliography
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  62. Authors’ Biographies & Index
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  63. Applied Affective Computing in Built Environments
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  64. Machine Learning Approaches for Applied Affective Computing
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  65. Affective Computing for Enhancing Well-Being
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  66. Synthesizing Natural and Believable Emotional Expressions
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  67. Addressing Ethical Issues of Affective Computing
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  68. Emotions as Studied in Psychology and Cognitive Science
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  69. Safety and Security
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  70. Preface
    David A. Ellis · 2020 · Cambridge University Press eBooks
  71. Health and Behaviour Change
    David A. Ellis · 2020 · Cambridge University Press eBooks
  72. Introduction
    David A. Ellis · 2020 · Cambridge University Press eBooks
  73. Conclusion
    David A. Ellis · 2020 · Cambridge University Press eBooks
  74. Cognition
    David A. Ellis · 2020 · Cambridge University Press eBooks
  75. Mobility, well-being, and community participation among people with depression: an observation study using geographically-explicit ecological momentary assessment (GEMA) (Preprint)
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  76. Index
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  77. Characteristic Latent Features for Analyzing Digital Mental Health Interaction and Improved Explainability (Preprint)
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  78. Sensing everyday activity: Parent perceptions and feasibility
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  79. Protocol for an experimental study design that uses mobile sensor data to aid clinical decision-making at the individual and community level (Preprint)
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  80. Measures of Behavior and Life Dynamics from Commonly Available GPS Data (DPLocate): Algorithm Development and Validation (Preprint)
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  81. IoT cloud system for traffic monitoring and vehicular accidents prevention
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  82. Aiding clinical decision-making at the individual and community level using mobile sensor data – A study protocol for an experimental design (Preprint)
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  83. Artificial intelligence in precision medicine and liver disease monitoring
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  84. Design and Implementation of Health and Risk Level Assessment for Socially Disadvantaged Patients
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  85. Depression Detection Using Distribution of Microstructures from Actigraph Information
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  95. Additional file 1 of Passive sensing on mobile devices to improve mental health services with adolescent and young mothers in low-resource settings: the role of families in feasibility and acceptability
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