Development of an Analytical Tool Using Mobile Application and Machine Learning for Supporting the Care and Feedback of Patients with Allergies

Respiratory difficulties are a common problem affecting people of all ages and can have various causes. They reduce the quality of life, hinder daily activities, and increase the risk of complications. Early diagnosis and treatment are crucial for preventing complications and improving patients’ quality of life. Caring for patients with respiratory difficulties is a complex process that requires collaboration among various healthcare professionals. An essential part of this care is feedback from patients. Traditional methods of obtaining patient feedback, such as questionnaires and interviews, are outdated, time-consuming, and inefficient. Patients often find the clinical environment unsuitable for expressing their true feelings and concerns, and physical meetings with doctors can be influenced by many factors, leading to subjective responses. To address these issues, a mobile application, an admin dashboard for healthcare professionals, and a machine learning model were developed and tested, creating a comprehensive ecosystem. The results indicate that this tool provides a more efficient, user-friendly alternative to traditional methods and holds potential for various outpatient care settings.