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- W3201727035 abstract "In the body of human beings, the calcaneus or heel bone is one of the strongest and biggest bone which is in the foot. It helps the foot flexibly in normal walking movements. In recent years, most of the people in the age group of 35 to 50 years are falling victim to osteoarthritis (calcaneal shift) as it makes serious impacts continuously. Such types of diseases direct to ailment of the knee. If the ache in the knee is not released by physiotherapy or medication, the affected person may be confined to bed and has to undertake calcaneal osteotomy. It leads to the development of a user-friendly application to load and run Calcaneus images into the application model developed for calcaneal osteotomy. In general, machines are available to predict calcaneal shift occurrence, but they fail to predict and analyze the other subtypes of the calcaneal shift in the foot. This research work focused on developing a model to predict and analyze the subtypes of calcaneal shift occurrence in the foot." @default.
- W3201727035 created "2021-10-11" @default.
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- W3201727035 date "2021-01-01" @default.
- W3201727035 modified "2023-10-01" @default.
- W3201727035 title "Design and Development of Machine Learning Model for Osteoarthritis Identification" @default.
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- W3201727035 doi "https://doi.org/10.1007/978-981-33-4543-0_84" @default.
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