Dr. Maytham Nabeel Meqdad, the coordinator of the Department of Intelligent Medical Systems at the College of Sciences, Al-Mustaqbal University, published a research paper titled "Scalable Machine Learning Framework for Patient Outcome Prediction with Cloud-Based Healthcare Data". Date: 26/03/2024 | Views: 344

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Dr. Maytham Nabeel Meqdad, the coordinator of the Department of Intelligent Medical Systems at the College of Science, Al-Mustaqbal University, has published a research paper titled "Scalable Machine Learning Framework for Patient Outcome Prediction with Cloud-Based Healthcare Data". The paper is being published in the "INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING" journal by Ismail Saritas publishing house, within the Scopus index.

The aim of the research is to develop a machine learning algorithm from intelligent systems algorithms aimed at accurately predicting patient outcomes and diagnosing patient conditions to improve healthcare. The research was accomplished in collaboration with an international research team from the Sathyabama Institute of Science and Technology, Sathyabama University, Republic of India.

Research Link: https://ijisae.org/index.php/IJISAE/article/view/5121