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Using Machine Learning to Identify the Relationships between Demographic, Biochemical, and Lifestyle Parameters and Plasma Vitamin D Concentration in Healthy Premenopausal Chinese Women.

Chun-Kai WangChing-Yao ChangTa-Wei ChuYao-Jen Liang
Published in: Life (Basel, Switzerland) (2023)
In a healthy Chinese premenopausal cohort using four different Mach-L methods, age was found to be the most important factor related to PVDC, followed by plasma insulin level, TSH, spouse status, LDH, and ALP.
Keyphrases
  • breast cancer risk
  • postmenopausal women
  • type diabetes
  • metabolic syndrome
  • cardiovascular disease
  • weight loss
  • early breast cancer
  • insulin resistance