UMIN-CTR Clinical Trial
| Unique ID issued by UMIN | UMIN000034489 |
|---|---|
| Receipt number | R000039295 |
| Scientific Title | Natural Language Processing on SNS Data to Extract Features of Psychiatric Disorders |
| Date of disclosure of the study information | 2018/10/15 |
| Last modified on | 2021/10/14 16:05:11 |
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Basic information
Public title
Natural Language Processing on SNS Data to Extract Features of Psychiatric Disorders
Acronym
Natural Language Processing on SNS Data to Extract Features of Psychiatric Disorders
Scientific Title
Natural Language Processing on SNS Data to Extract Features of Psychiatric Disorders
Scientific Title:Acronym
Natural Language Processing on SNS Data to Extract Features of Psychiatric Disorders
Region
| Japan |
Condition
Condition
Patients with major depressive disorder, bipolar I/II disorder, schizophrenia, and anxiety disorders (including obsessive compulsive disorder) by DSM-5 or ICD-10
Classification by specialty
| Psychiatry | Adult |
Classification by malignancy
Others
Genomic information
NO
Objectives
Narrative objectives1
To develop an algorithm to identify features of major depressive disorder, bipolar I/II disorder, schizophrenia, and anxiety disorders (including obsessive compulsive disorder) utilizing natural language processing based on SNS text.
Basic objectives2
Efficacy
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase
Assessment
Primary outcomes
Linguistic features of each psychiatric diagnosis identified through natural language processing and machine learning
Key secondary outcomes
Base
Study type
Observational
Study design
Basic design
Randomization
Randomization unit
Blinding
Control
Stratification
Dynamic allocation
Institution consideration
Blocking
Concealment
Intervention
No. of arms
Purpose of intervention
Type of intervention
Interventions/Control_1
Interventions/Control_2
Interventions/Control_3
Interventions/Control_4
Interventions/Control_5
Interventions/Control_6
Interventions/Control_7
Interventions/Control_8
Interventions/Control_9
Interventions/Control_10
Eligibility
Age-lower limit
| 20 | years-old | <= |
Age-upper limit
| Not applicable |
Gender
Male and Female
Key inclusion criteria
As patients
(1) Out/in-patients regularly visiting or hospitalized at the study sites and/or other related facilities, and diagnosed with major depressive disorder, bipolar I/II disorder, schizophrenia, and anxiety disorders (including obsessive compulsive disorder) according to DSM-5 or ICD-10.
(2) Those who post on social network services, such as Twitter or Facebook.
(3) 20 years old or older.
(4) Decisionally unimpaired as judged by treating physician. If judged as decisionally impaired, patients' guardians should give consent.
As healthy volunteers
(1) Healthy volunteers who offered to participate in the study through study website.
(2) Those who post on social network services, such as Twitter or Facebook.
(3) 20 years old or older.
Key exclusion criteria
As patients
(1) Patients whose illness can exacerbate by interview of the study.
(2) Patients who have comorbidities that can interfere with posting to social network service; such as patients with hand paralysis or visual impairment.
(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 posting to social network service; such as patients with hand paralysis or visual impairment.
(2) Those who are considered to be ineligible by the PI or investigators
Target sample size
300
Research contact person
Name of lead principal investigator
| 1st name | Taishiro |
| Middle name | |
| Last name | Kishimoto |
Organization
Keio University School of Medicine
Division name
Hills Joint Research Laboratory for Future Preventive Medicine and Wellnes
Zip code
106-0032
Address
Roppongi Hills North Tower 7F, 6-2-31 Roppongi, minato-ku, Tokyo, Japan
TEL
03-5786-0006
tkishimoto@keio.jp
Public contact
Name of contact person
| 1st name | Momoko |
| Middle name | |
| Last name | Kitazawa |
Organization
Keio University School of Medicine
Division name
Department of Neuropsychiatry
Zip code
160-8582
Address
35 Shinanomachi, Shinjuku-ku, Tokyo, JAPAN
TEL
03-5363-3492
Homepage URL
https://www.i2lab.info/underpin
m-kitazawa@keio.jp
Sponsor or person
Institute
Keio University School of Medicine
Institute
Department
Personal name
Funding Source
Organization
Japan Science and Technology Agency (JST)
Organization
Division
Category of Funding Organization
Japanese Governmental office
Nationality of Funding Organization
Japan
Other related organizations
Co-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
Sakuma mental clinic
National Institute of Informatics
University of Tokyo
Name of secondary funder(s)
IRB Contact (For public release)
Organization
The Clinical and Translational Research Center
Address
35 Shinanomachi, Shinjuku-ku, Tokyo, JAPAN
Tel
03-3353-1211
med-rinri-jimu@adst.keio.ac.jp
Secondary IDs
Secondary IDs
NO
Study ID_1
Org. issuing International ID_1
Study ID_2
Org. issuing International ID_2
IND to MHLW
Institutions
Institutions
Other administrative information
Date of disclosure of the study information
| 2018 | Year | 10 | Month | 15 | Day |
Related information
URL releasing protocol
Publication of results
Unpublished
Result
URL related to results and publications
Number of participants that the trial has enrolled
Results
Results date posted
Results Delayed
Results Delay Reason
Date of the first journal publication of results
Baseline Characteristics
Participant flow
Adverse events
Outcome measures
Plan to share IPD
IPD sharing Plan description
Progress
Recruitment status
Enrolling by invitation
Date of protocol fixation
| 2018 | Year | 08 | Month | 01 | Day |
Date of IRB
| 2018 | Year | 10 | Month | 09 | Day |
Anticipated trial start date
| 2018 | Year | 10 | Month | 15 | Day |
Last follow-up date
| 2023 | Year | 08 | Month | 31 | Day |
Date of closure to data entry
Date trial data considered complete
Date analysis concluded
Other
Other related information
Patients (n=60 for each diagnosis) who are diagnosed as 1) major depressive disorders or bipolar I/II disorder, 2) schizophrenia, and 3) anxiety disorders (including obsessive compulsive disorder) according to DSM-5 or ICD-10 and healthy volunteers (n=60) are collected their input texts on social network service.
In addition, patients are assessed their symptom severity by rating scales respectively shown below.
1) Major depressive disorders or bipolar I/II disorder and anxiety disorders (including Obsessive Compulsive Disorder)
Hamilton Rating Scale for Depression
Montgomery Asberg Depression Rating Scale
Young Mania Rating Scale
Hamilton Rating Scale for Anxiety
The State-Trait Anxiety Inventory
Satisfaction With Life Scale
Cantril's Ladder of life scale
The Flourishing Scale
The Subjective Well-being Inventory
2) Schizophrenia
Positive and Negative Syndrome Scale
Satisfaction With Life Scale
Cantril's Ladder of life scale
The Flourishing Scale
The Subjective Well-being Inventory
Collected data are analyzed utilizing natural language processing and the features that are related to each diagnosis are identified through machine learning approach.
Management information
Registered date
| 2018 | Year | 10 | Month | 15 | Day |
Last modified on
| 2021 | Year | 10 | Month | 14 | Day |
Link to view the page
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000039295
| Research Plan | |
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| Research case data specifications | |
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