Cancer Treatment Protocol Advisor: Mobile Application sets the Treatment Regimens | ||
| Journal of the ACS Advances in Computer Science | ||
| Volume 16, Issue 1, 2025 PDF (627.8 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/asc.2025.338088.1027 | ||
| Authors | ||
| Hala S. Abuelmakarem* 1; Anas Abuelhaag2; Amira Mahmoud1; Mohamed Abd elMohsen1 | ||
| 1System and Biomedical Engineering Department, The higher institute of engineering, El Shoruk academy, El Shorouk City, Cairo, Egypt. | ||
| 2Software and Information Technology Department, Engineering and Technology Faculty, Egyptian Chinese University, Cairo, Egypt | ||
| Abstract | ||
| The disproportion between the number of doctors and patients has exhausted physicians. Tumor specialists exert significant effort when setting treatment protocols, as these are determined by multiple factors such as age, grade, gender, weight, medical history and more. Doctors require a simplified technique to establish treatment regimens, including dosage, treatment schedules, and the availability of drug combinations tailored to the patient’s condition. This article introduces a Cancer Treatment Protocol Advisor (CTPA) system, designed to assist doctors in outlining the framework for the treatment journey. CTPA includes a database for storing patient information. It also helps doctors select specific treatment regimens, after which the system calculates medicine dosages, treatment days, and provides recommendations based on the patient’s status. The CTPA supports treatment protocols for seven cancer types, including their required chemotherapy doses throughout the treatment journey. The application was developed using the Flutter platform. Dosages are calculated based on input data and pre-saved equations within the program. The system presents various treatment regimens for the supported cancer types, enabling doctors to choose the most suitable option. Additionally, patient data and scheduled regimens are stored on Google Sheets, ensuring easy accessibility for doctors. | ||
| Keywords | ||
| treatment regimen; chemotherapy dose; mobile app; health care | ||
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