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Mao H, Zhao Y, Li H, Lei L

3.2 Scientific research on predictive models In the construction of predictive models for assessing an individuals susceptibility to Acute Mountain Sickness (AMS), it is imperative to systematically integrate a multitude of indicator parameters and employ classical statistical frameworks alongside cutting-edge artificial intelligence techniques, such as machine learning algorithms and deep learning architectures, to forge highly accurate predictive models

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Phan AT, Rashid A, Luthra R, Lopez-Alvarez E, Swisher SG , Komaki RR, Bresalier RS, Ajani J

The dried flower heads of several Chrysanthemum species have long been employed in biological and phytochemical research, and many secondary bioactive compounds, including terpenoids, steroids, and flavonoids, have been identified and extracted [257]