This study aims to predict the development of bone cement syndrome, which may develop due to polymethylmethacrylate cement used to adhere the prosthesis to the bone in arthroplasty surgeries, which may cause intraoperative and postoperative mortality and morbidity, using artificial intelligence methods and to provide a sustainable life comfort to patients in the postoperative period with the standardization predicted in the long term.
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collection of data-1
Timeframe: 2 months
collection of data-2
Timeframe: 2 months
collection of data-3
Timeframe: 2 months
artificial intelligence modeling
Timeframe: 1 months
Muhammed Çağatay ENGIN, Associate professor