Silicon/silver hydroxyapatite bioactive coatings can effectively improve the biocompatibility and antibacterial properties of metal implants

respectively. The method utilizes‘Wide ＆ Deep ’and Dense Net architecture and take advantage of semi-supervised learning train recommend bone implant ratios to provide an individual treatment and rehabilitation program for each patient. The recommendation system can solve the complex problem of less labelled data and multiple features with each patient

and obtain an optimized semi-supervised learning algorithm with the multi-feature fusion network. It can achieve high accuracy in realizing recommendation orthopaedic implant treatment scheme on test dataset

and provide intelligent decision support for clinical treatments.