Machine learning techniques for prediction of human age based on teeth x-ray images

Due to automation, the data processing may now be completed on time while retaining its integrity. Health care and medicine are hazardous professions, and even a single mistake can be fatal. Like any other machine, the human mind can wear out and make mistakes. Humans' attempts to increase their accuracy have resulted in medical practice changes brought on by advances in machine learning and artificial intelligence concepts. MATLAB is used with programming to determine an individual's age in medical research. In the forensic investigation process, gender bias is a crucial component to consider. However, further research is still needed to build an automated model based on deep learning that can identify a person's gender based on their teeth. Experimentation began by collecting a database of teeth images, divided into two groups: During training, 70% samples were used, and 30% samples were used during the testing phase. A wide range of metrics and criteria are used to assess the proposed method's efficiency for data segmentation and classification. The proposed method can correctly classify things according to the results. As a result, the proposed work is compared to similar approaches that have already been implemented. It illustrates that the recommended system led to better results.