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Measuring Life Events and Their Association With Clinical Disorder: A Protocol for Development of an Online Approach.

Ruth SpenceAmanda BunnStephen NunnGeorgina Mayling HosangLisa KaganHelen L FisherMatthew J TaylorAntonia Bifulco
Published in: JMIR research protocols (2015)
There is currently no sophisticated technological application of social risk factor assessment, such as life events and difficulties. CLEAR is designed to gather reliable and valid life-event data while combating the limitations of interviews (eg, time consuming and costly) and life-event checklists (eg, inability to accurately measure severity and independence of life events). The advantages of using such innovative methodology for research, clinical practice, and interventions are discussed.
Keyphrases
  • clinical practice
  • randomized controlled trial
  • risk factors
  • mental health
  • machine learning
  • electronic health record