Machine learning in mental health: a scoping review of methods and applications
BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …
data applications for mental health, highlighting current research and applications in …
Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems
High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …
with recent advances in AI, has led to an increase in explorations of how the field of machine …
[HTML][HTML] Health recommender systems: systematic review
Background: Health recommender systems (HRSs) offer the potential to motivate and
engage users to change their behavior by sharing better choices and actionable knowledge …
engage users to change their behavior by sharing better choices and actionable knowledge …
Designing human-centered AI for mental health: Developing clinically relevant applications for online CBT treatment
A Thieme, M Hanratty, M Lyons, J Palacios… - ACM Transactions on …, 2023 - dl.acm.org
Recent advances in AI and machine learning (ML) promise significant transformations in the
future delivery of healthcare. Despite a surge in research and development, few works have …
future delivery of healthcare. Despite a surge in research and development, few works have …
Personalized heartsteps: A reinforcement learning algorithm for optimizing physical activity
With the recent proliferation of mobile health technologies, health scientists are increasingly
interested in developing just-in-time adaptive interventions (JITAIs), typically delivered via …
interested in developing just-in-time adaptive interventions (JITAIs), typically delivered via …
[HTML][HTML] Encouraging physical activity in patients with diabetes: intervention using a reinforcement learning system
Background Regular physical activity is known to be beneficial for people with type 2
diabetes. Nevertheless, most of the people who have diabetes lead a sedentary lifestyle …
diabetes. Nevertheless, most of the people who have diabetes lead a sedentary lifestyle …
Self-tracking for mental wellness: understanding expert perspectives and student experiences
Previous research suggests an important role for self-tracking in promoting mental wellness.
Recent studies with college student populations have examined the feasibility of collecting …
Recent studies with college student populations have examined the feasibility of collecting …
Machine learning techniques in adaptive and personalized systems for health and wellness
Traditional health systems mostly rely on rules created by experts to offer adaptive
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
Pocket skills: A conversational mobile web app to support dialectical behavioral therapy
J Schroeder, C Wilkes, K Rowan, A Toledo… - Proceedings of the …, 2018 - dl.acm.org
Mental health disorders are a leading cause of disability worldwide. Although evidence-
based psychotherapy is effective, engagement from such programs can be low. Mobile apps …
based psychotherapy is effective, engagement from such programs can be low. Mobile apps …
Designing emotionally sentient agents
D McDuff, M Czerwinski - Communications of the ACM, 2018 - dl.acm.org
Designing emotionally sentient agents Page 1 74 COMMUNICATIONS OF THE ACM |
DECEMBER 2018 | VOL. 61 | NO. 12 review articles ALL IMA GE SB Y MDI DIGIT AL TODAY …
DECEMBER 2018 | VOL. 61 | NO. 12 review articles ALL IMA GE SB Y MDI DIGIT AL TODAY …