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Principal Investigator
Sarah Alotaibi
Position Title
About this CDAS Project
PLCO (Learn more about this study)
Project ID
Initial CDAS Request Approval
Mar 20, 2020
Early Diagnosis of Asthma, Thyroid Cancer and Schizophrenia Diseases Using Computational Intelligence Techniques
In recent days, researchers noticed how chronic diseases have become common. Chronic diseases have increased in rate due to genetics and other risk factors. In the Kingdom of Saudi Arabia, the number of patients with chronic diseases has turned to be a big issue. One of the goals is to improve the health care system in line with the vision 2030 of the Kingdom of Saudi Arabia. Therefore, there is a need to explore all possible means to reach and achieve that goal. In this project, we will work on developing machine learning-based tools that will serve as early warning systems in detecting even the slightest signs of the presence of any of these chronic diseases at a very early stage. This will surely reduce, if not totally eradicate, the potential dangers often associated with these diseases when detected at the later stage. In the third phase of the project, we will pre-emptively diagnose the following diseases: Asthma and Thyroid cancer. In addition, we will continue on Schizophrenia that was started in the second phase of this project. Moreover, the most significant expected outcomes are to know the possibility of getting the selected diseases or identifying their presence at a very early stage in order to improve the state of health in the Kingdom.

❖ To benefit the global society by enhancing the public health care.

❖ To effect efficiently on maintaining a healthy population through pre-emptively
diagnosing chronic diseases.

❖ To assist patients and caregivers by developing a low-cost system which lead to handle
the chronic disease leads more effectively.

❖ To move from developing the systems focused on the treatment of diseases to avoiding


Supervisor (owner of the idea):
Dr. Sunday O. Olatunji (Aadam)

Dr. Jamal Alhiyafi
Mrs. Mona Altassan

Yasmeen Ahmed Almajid
Rahaf Mohammed Altabee
Sarah Saud Alotaibi
Zainab Hassan Alrabea
Ebtisam Salem Almutairi