Application of Machine Learning Algorithms for Predicting the Outcome of Therapeutic Intervention of Colorectal Cancer Patients In Palestine with a Global Comparison
Principal Investigator
Name
Amal Shaikhah
Degrees
Ph.D in Biomedical Informatics and Medical Statistics
Institution
Alexandria University - Medical Research Institute
Position Title
Ph.D Candidate
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1303
Initial CDAS Request Approval
Aug 22, 2023
Title
Application of Machine Learning Algorithms for Predicting the Outcome of Therapeutic Intervention of Colorectal Cancer Patients In Palestine with a Global Comparison
Summary
The potential of artificial intelligence (AI) in the field of healthcare lies in its capacity to analyze huge data that surpass human capabilities. This analytical ability enables the conversion of data into clinical knowledge, which can guide medical practitioners in making informed decisions and ultimately lead to improved patient outcomes. The objective is to decrease healthcare expenses while simultaneously enhancing patient contentment.
Artificial intelligence is used in machine learning, which enables frameworks to automatically accept and enhance information without overt adaptation. Machine learning focuses on enhancing PC programs that can take in information and figure things out by themselves. Using prior knowledge and a categorical data collection, supervised classification algorithms are used for classification and prediction tasks. (Chen et al., 2022)
To the best of our current understanding in the developing countries, there exists a discernible degree of efficacy pertaining to the implementation of artificial intelligence (AI) within the fields of oncology and cancer epidemiology. The Integration of AI algorithms and advanced computing techniques have provided researchers and clinicians with unparalleled opportunities to decipher complex datasets and extract valuable insights, which in turn have led to enhanced disease detection, more accurate diagnoses, and tailored treatment regimens. While further investigation is required to fully elucidate the extent of AI's potential within this domain, it is evident that the integration of AI technologies holds considerable promise for advancing our understanding of cancer and improving patient outcomes
Artificial intelligence is used in machine learning, which enables frameworks to automatically accept and enhance information without overt adaptation. Machine learning focuses on enhancing PC programs that can take in information and figure things out by themselves. Using prior knowledge and a categorical data collection, supervised classification algorithms are used for classification and prediction tasks. (Chen et al., 2022)
To the best of our current understanding in the developing countries, there exists a discernible degree of efficacy pertaining to the implementation of artificial intelligence (AI) within the fields of oncology and cancer epidemiology. The Integration of AI algorithms and advanced computing techniques have provided researchers and clinicians with unparalleled opportunities to decipher complex datasets and extract valuable insights, which in turn have led to enhanced disease detection, more accurate diagnoses, and tailored treatment regimens. While further investigation is required to fully elucidate the extent of AI's potential within this domain, it is evident that the integration of AI technologies holds considerable promise for advancing our understanding of cancer and improving patient outcomes
Aims
The aim of this research is to investigate the application of machine learning algorithms in predicting the outcome of therapeutic intervention of colorectal cancer patients
Collaborators
Doctoral Supervisors:
1- Prof. Dr. Fayek Salah Elkhwsky, Professor, Department of Biomedical Informatics and Medical Statistics - Alexandria University- Egypt
2- Prof. Dr. Waleed Osman Arafat, Professor Oncology, Faculty of Medicine, Alexandria University- Egypt
3- Prof. Dr. Yousef Ibrahim Aljeesh, Professor In International Public Health, Islamic University-Gaza - Palestine
4- Assoc. Prof. Dr. Noha Ezzat El-Attar Associate professor - Faculty of Computers and Artificial Intelligence - Benha University - Egypt