Published Paper Details:

The Doctors Trustworthiness Assessment project aims to address a critical problem in the healthcare industry - the difficulty of patients in assessing the credibility of doctors accurately. Patients often rely on subjective metrics such as word-of-mouth recommendations and online reviews and ratings on various platforms to evaluate the trustworthiness of a doctor. However, these metrics are prone to biases and inconsistencies, and patients may not have all the information to make an informed decision. To address this issue, the Doctors Trustworthiness Assessment project seeks to develop a comprehensive, reliable, and automated method for assessing the credibility of doctors accurately. The project aims to leverage advanced technologies such as machine learning to provide a trust score that reflects the trustworthiness of a doctor accurately. Patients can use this trust score along with other factors such as the doctor's medical qualifications, specialization, reviews from other patients, and any history of malpractice to make informed healthcare decisions. Moreover, the project aims to encourage doctors to maintain high standards of professionalism and ethical behaviour by providing them feedback on their trust scores. By creating a more transparent and trustworthy environment in the healthcare industry, the Doctors Trustworthiness Assessment project hopes to improve patient outcomes and help patients make informed healthcare decisions.