Analysis of Trabecular Bone Mechanics Using Machine Learning
作者: Ayesha SohailMuhammad YounasYousaf BhattiZhiwu LiSümeyye TunçMuhammad Abid
刊名: Evolutionary Bioinformatics, 2019, Vol.15
来源数据库: Directory of Open Access Journals
DOI: 10.1177/1176934318825084
原始语种摘要: “Bone remodeling” is a dynamic process, and mutliphase analysis incorporated with the forecasting algorithm can help the biologists and orthopedics to interpret the laboratory generated results and to apply them in improving applications in the fields of “drug design, treatment, and therapy” of diseased bones. The metastasized bone microenvironment has always remained a challenging puzzle for the researchers. A multiphase computational model is interfaced with the artificial intelligence algorithm in a hybrid manner during this research. Trabecular surface remodeling is presented in this article, with the aid of video graphic footage, and the associated parametric thresholds are derived from artificial intelligence and clinical data.
全文获取路径: DOAJ  (合作)
影响因子:1.326 (2012)

  • intelligence 智能
  • parametric 子宫旁的
  • computational 计算的
  • artificial 人为的
  • Analysis 分析
  • improving 改进
  • algorithm 算法
  • apply 应用
  • graphic 图示的
  • interpret 说明