A Systematic Review on Oral Cancer Diagnosis and Prognosis using Machine Learning Techniques

Abstract

One of the most dangerous and irrecoverable cancers which exists in the oral fissure is oral cancer or mouth cancer. It arises from the oral cavity and neck. It disturbs lips and the main parts of tongue, mouth roof and floor. It also affects our oropharynx. The principal factors for increasing mouth cancer is excessive use of tobacco, alcohol, cigarettes and human papilloma virus (HPV) infection. The diagnosis of oral cancer at an initial stage with precise treatment can save the survival of numerous people. This work provides a systematic review of diagnostic and prognostic of Oral Caner using machine learning techniques and highlights certain limits and concerns of clinicians towards the application of machine learning-based models for daily clinical practice.