Diagnosis of psychiatric patients using data mining techniques

Completed

• Conditions: Mental disorders; Mental and Behavioural Disorders; 1. Major depression 2. Drug-induced psychosis 3. Schizophrenia 4. Schizoaffective disorder 5. Obsessive–compulsive disorder 6. Bipolar disorder

• Registration Number: ISRCTN75534069
• Lead Sponsor: Arab Academy for Science, Technology, and Maritime Transport (Egypt)

Brief Summary

1. 2016 results in https://doi.org/10.1007/978-3-319-48308-5_64 (added 23/01/2019)

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Study Completion: 2015-11-30
• Study Start: 2016-02-29
• Last Update Posted: 11 February 2019

Recruitment & Eligibility

• Status: Completed
• Sex: All
• Target Recruitment: 1800

Inclusion Criteria

Patients:
1. Adults
2. Diagnosed with a psychiatric condition (major depression, drug-induced psychosis, schizophrenia, schizoaffective disorder, obsessive – compulsive disorder, bipolar disorder - manic episode and bipolar disorder - mixed episode)
3. Being treated as an inpatient at El Mamoura Hospital
4. Not taking any psychoactive substances

Clinicians:
Clinicians working at the El Mamoura Hospital for psychiatric and addiction treatment.

Exclusion Criteria

Patients:
1. Not being treated as an inpatient at El Mamoura Hospital
2. Taking psychoactive substances

Clinicians:
Not working at El Mamoura Hospital for psychiatric and addiction treatment

Study & Design

• Study Type: Interventional
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Identification of the best data mining technique is measured using the accuracy percentage of data mining classification (10-fold cross-validation) after data was collected.

Secondary Outcome Measures

Name	Time	Method
Classification of psychotic diseases are measured using the accuracy percentage of data mining classification (10-fold cross-validation) after data was collected.