Quantifying Psychiatric Disorders with Natural Language Processing: A Pilot Study

UMIN ID: UMIN000027080

Registered date:21/04/2017

Basic Information

• Recruitment status: Complete: follow-up continuing
• Health condition(s) or Problem(s) studied: 1. Patients with major depressive disorder, bipolar I/II disorder, schizophrenia, anxiety disorders, and major/mild neurocognitive disorder by DSM-5 2. Healthy volunteers
• Date of first enrollment: 2017/04/21
• Target sample size: 30
• Countries of recruitment: Japan
• Study type: Observational

Outcome(s)

• Primary Outcome: To see if the data collection according to the protocol is feasible and to identify the problems to conduct further study.
• Secondary Outcome: Exploratory analysis on the relation between text analysis and diagnoses and/or symptom severity.

Key inclusion & exclusion criteria

• Age minimum: 20years-old
• Age maximum: Not applicable
• Gender: Male and Female
• Exclude criteria: Exclusion Criteria: As patients (1) Patients whose illness can exacerbate by interview of the study. (2) Patients who have comorbidities that can interfere with measurements in the study; such as patients with dysphonia by laryngectomy. (3) Those who are considered to be ineligible by the PI or investigators. As healthy volunteers (1) Those who have comorbidities that can interfere with measurements in the study; such as patients with dysphonia by laryngectomy. (2) Those who are considered to be ineligible by the PI or investigators.

Related Information

• Primary Sponsor: Keio University School of Medicine
• Secondary Sponsor: Shizuoka University
• Source(s) of Monetary Support: Japan Science and Technology Agency (JST)