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A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung Cancers.

Yueying WangShuai LiuZhao WangYusi FanJingxuan HuangLan HuangZhijun LiXinwei LiMengdi JinQiong YuFengfeng Zhou
Published in: Medicina (Kaunas, Lithuania) (2021)
This data suggested that male patients may have more complicated factors in lung cancer than females, and it is necessary to develop gender-specific diagnosis and prognosis models.
Keyphrases
  • machine learning
  • end stage renal disease
  • ejection fraction
  • mental health
  • chronic kidney disease
  • big data
  • prognostic factors
  • peritoneal dialysis
  • artificial intelligence
  • young adults