Plain English Summary
Background and study aims
Mental illness is a general term used to describe a range of conditions that affect mood, thoughts and behavior. They are extremely common and it is thought that most people come into contact with mental illness, either directly or indirectly, at some point in their lives. Unlike many physical illnesses, they can be difficult to diagnose as the symptoms can greatly vary from person to person. Data mining is a technique which uses a procedure or formula to solve a problem (algorithm). It is possible that by collecting and analyzing data from people suffering from a mental illness and those who treat them, an algorithm could be used in order make diagnosing patients easier. The aim of this study is to look at a range of different data mining techniques in order to find the best one for helping the diagnosis of mental illness.
Who can participate?
Adults with a mental illness who are being treated at El Mamoura Hospital and the doctors looking after them.
What does the study involve?
Doctors interview a number of in-patients with mental health problems who are being treated at El Mamoura Hospital using a specially designed survey. The data from these surveys is then entered into a computer so that it can be analysed using a number of different data mining techniques. This involves putting the data into different formulas so that any patterns can be identified by the different algorithms. At the end of the study, the accuracy of these techniques are compared by seeing how well the results of the techniques matches with the patients current diagnosis.
What are the possible benefits and risks of participating?
There are no direct benefits or risks to participants taking part in this study.
Where is the study run from?
El Mamoura Hospital for Psychiatric and Addiction Treatment (Egypt)
When is the study starting and how long is it expected to run for?
August 2015 to November 2015
Who is funding the study?
Arab Academy for Science, Technology, and Maritime Transport (Egypt)
Who is the main contact?
Ms Horeya Abou Warda
Ms Horeya Abou Warda
Arab Academy for Science
and Maritime Transport
Diagnosis of psychiatric patients using data mining techniques
The aim of this study is to identify the best data mining technique to facilitate psychiatric diagnosis.
General Secretariat of Mental Health and Addiction Treatment (GSMHAT), Ministry of Health and Population (Egypt), 17/08/2015, ref: 1860|8/17
Single-centre observational cross-sectional study
Primary study design
Secondary study design
Randomised controlled trial
Patient information sheet
Not available in web format, please use the contact details below to request a patient information sheet.
Clinicians interview a number of inpatients at El Mamoura Hospital that are known to have a psychiatric condition, assessing them with the help of a survey that the clinicians complete.
This data is then used to test a number of different data mining techniques (i.e. Random Forest, Decision Tree, Neural Networks, K Nearest Neighbour and Support Vector Machines) to see which was the best one to use to create an automated model for a diagnosing psychiatric conditions.
Primary outcome measure
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
Classification of psychotic diseases are measured using the accuracy percentage of data mining classification (10-fold cross-validation) after data was collected.
Overall trial start date
Overall trial end date
Reason abandoned (if study stopped)
Participant inclusion criteria
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 working at the El Mamoura Hospital for psychiatric and addiction treatment.
Target number of participants
Participant exclusion criteria
1. Not being treated as an inpatient at El Mamoura Hospital
2. Taking psychoactive substances
Not working at El Mamoura Hospital for psychiatric and addiction treatment
Recruitment start date
Recruitment end date
Countries of recruitment
Trial participating centre
El Mamoura Hospital for Psychiatric and Addiction Treatment
Arab Academy for Science, Technology, and Maritime Transport
Funding Body Type
Funding Body Subtype
Results and Publications
Publication and dissemination plan
Planned publication in an academic journal.
Intention to publish date
Participant level data
Available on request
Basic results (scientific)