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Quantifying Psychiatric Disorders with Natural Language Processing on Conversational Data

Quantifying Psychiatric Disorders with Natural Language Processing on Conversational Data - Natural Language Processing on Conversational Data for Psychiatric Disorders

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000032141
Enrollment
500
Registered
2018-04-07
Start date
2018-04-07
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

1. Patients with major depressive disorder, bipolar I/II disorder, schizophrenia, anxiety disorders (or obsessive-compulsive disorder), and major/mild neurocognitive disorder by DSM-5 or ICD-10 2. Healthy volunteers

Interventions

None listed

Sponsors

Keio University School of Medicine
Lead Sponsor
Shizuoka University Oizumi hospital Oizumi mental clinic Asakadai mental clinic Tsurugaoka garden hospital Nagatsuta ikoinomori clinic Biwako hospital Sato hospital Komagino hospital Asaka hospital National Institute of Informatics University of Tokyo Tokyo Medical and Dental University
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: As patients (1) Out/in-patients at the study sites diagnosed as Major Depressive Disorder, Bipolar I/II Disorder, Schizophrenia, Anxiety Disorders (or Obsessive-compulsive disorder), Major/Mild Neurocognitive Disorder, according to DSM-5 or ICD-10. (2) 20 years old or older. (3) Decisionally not impaired judged by treating physician. If judged as decisionally impaired, patients' guardians should give consent. As healthy volunteers (1) Healthy volunteers who offered to participate to the study through web site. (2) 20 years old or older.

Exclusion 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.

Design outcomes

Primary

MeasureTime frame
Linguistic features of each psychiatric diagnosis identified through natural language processing and machine learning

Countries

Japan

Contacts

Public ContactMomoko Kitazawa

Keio University School of Medicine Center for Promotion of Interdisciplinary Research in Medicine and life Science

m-kitazawa@keio.jp03-5363-3492

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026