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Quantifying Psychiatric Disorders with Natural Language Processing: A Pilot Study

Quantifying Psychiatric Disorders with Natural Language Processing: A Pilot Study - Natural Language Processing for Psychiatric disorders: A Pilot Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000027080
Enrollment
30
Registered
2017-04-21
Start date
2017-04-21
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, and major/mild neurocognitive disorder by DSM-5 2. Healthy volunteers

Interventions

None listed

Sponsors

Keio University School of Medicine
Lead Sponsor
Shizuoka University
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Inclusion criteria: As patients (1) Out/in-patients at the study site diagnosed as Major Depressive Disorder, Bipolar I/II Disorder, Schizophrenia, Anxiety Disorders, Major/Mild Neurocognitive Disorder, according to DSM-5. (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: 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
To see if the data collection according to the protocol is feasible and to identify the problems to conduct further study.

Secondary

MeasureTime frame
Exploratory analysis on the relation between text analysis and diagnoses and/or symptom severity.

Countries

Japan

Contacts

Public ContactTaishiro Kishimoto

Keio University School of Medicine Hills Joint Research Laboratory for Future Preventive Medicine and Wellnes

tkishimoto@keio.jp03-5786-0006

Outcome results

None listed

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