Exploring Smartphone-Based Digital Phenotyping in Monitoring and Detection of Late Effects in Female Breast Cancer Patients

This study explores the potential of digital phenotyping to monitor late effects after breast cancer, addressing the challenges of the increasing incidence and improving survival rates. Traditional follow-up methods are limited, prompting an investigation into digital phenotyping through smartphone sensors. Using a mixed-methods approach involving a literature review, expert and student input. The study looked late effects such as cardiotoxicity, neuropathy, and depression. Smartphone sensors capable of generating passive data, such as accelerometers and GPS, were identified through literature review. Descriptive statistics were used to rank late effects based on potential parameters, with neuropathy emerging as the most promising. Despite valuable insights, the study faces limitations in detailed sensor information and variations in understanding among contributors. The ranking provides a preliminary indication of monitorability, emphasizing the need for future research to explore connections between parameters, assess measurement accuracy, and address privacy considerations. The study's implications extend to personalised monitoring in healthcare for breast cancer survivors, enhancing their quality of life, and the results may serve as a framework for future studies.