Unique ID issued by UMIN | UMIN000027080 |
---|---|
Receipt number | R000030791 |
Scientific Title | Quantifying Psychiatric Disorders with Natural Language Processing: A Pilot Study |
Date of disclosure of the study information | 2017/04/21 |
Last modified on | 2025/05/02 15:22:35 |
Quantifying Psychiatric Disorders with Natural Language Processing: A Pilot Study
Natural Language Processing for Psychiatric disorders: A Pilot Study
Quantifying Psychiatric Disorders with Natural Language Processing: A Pilot Study
Natural Language Processing for Psychiatric disorders: A Pilot Study
Japan |
1. Patients with major depressive disorder, bipolar I/II disorder, schizophrenia, anxiety disorders, and major/mild neurocognitive disorder by DSM-5
2. Healthy volunteers
Psychiatry | Adult |
Others
NO
To develop an algorithm to identify major depressive disorder, bipolar I/II disorder, schizophrenia, anxiety disorders, and major/mild neurocognitive disorder utilizing natural language processing based on subjects' speech.
Safety
To see if the data collection according to the protocol is feasible and to identify the problems to conduct further study.
Exploratory analysis on the relation between text analysis and diagnoses and/or symptom severity.
Observational
20 | years-old | <= |
Not applicable |
Male and Female
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:
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.
30
1st name | Taishiro |
Middle name | |
Last name | Kishimoto |
Keio University School of Medicine
Department of Neuropsychiatry
160-8582
35 Shinanomachi, Shinjuku-ku, Tokyo, JAPAN
03-5363-3971
tkishimoto@keio.jp
1st name | Taishiro |
Middle name | |
Last name | Kishimoto |
Keio University School of Medicine
Hills Joint Research Laboratory for Future Preventive Medicine and Wellnes
160-8582
Roppongi Hills North Tower 7F, 6-2-31 Roppongi, minato-ku, Tokyo, Japan
03-5786-0006
tkishimoto@keio.jp
Keio University School of Medicine
Japan Science and Technology Agency (JST)
Japanese Governmental office
Japan
Shizuoka University
The Clinical and Translational Research Center
35 Shinanomachi, Shinjuku-ku, Tokyo, JAPAN
03-3353-1211
med-rinri-jimu@adst.keio.ac.jp
NO
慶應義塾大学病院(東京都)
2017 | Year | 04 | Month | 21 | Day |
Unpublished
30
No longer recruiting
2017 | Year | 03 | Month | 29 | Day |
2017 | Year | 03 | Month | 30 | Day |
2017 | Year | 04 | Month | 21 | Day |
2027 | Year | 02 | Month | 28 | Day |
Patients (n=5 for each diagnosis) who are diagnosed as 1) major depressive disorders or bipolar I/II disorder, 2) schizophrenia, 3) anxiety disorders, 4) major/mild neurocognitive disorder according to DSM-5 are interviewed by psychologist for 30 to 60 minutes. The content of the interview includes symptoms, hobby, daily life style, explanation about a paintings etc. Healthy volunteers (n=10) go through the same interview. Each participant can receive the interview up to two times.
In addition, patients are assessed their symptom severity by rating scales respectively shown below.
1) Major depressive disorders or bipolar I/II disorder
Hamilton rating scale for depression
Young mania rating scale
2) Schizophrenia
Brief psychiatric rating scale
3) Anxiety Disorders
The state-trait anxiety inventory
4) Major/mild neurocognitive disorder
Clinical dementia rating
Mini-mental scale examination
Data collected are analyzed utilizing natural language processing and the features that are related to each diagnosis are identified through machine learning approach.
Through this procedure sample size calculation is conducted.
2017 | Year | 04 | Month | 20 | Day |
2025 | Year | 05 | Month | 02 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000030791