[Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].

Objective: To analyze the risk factors of in-hospital death in patients with sepsis in the intensive care unit (ICU) based on machine learning, and to construct a predictive model, and to explore the predictive value of the predictive model.

Methods: The clinical data of patients with sepsis who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical University from April 2015 to April 2021 were retrospectively analyzed,including demographic information, vital signs, complications, laboratory examination indicators, diagnosis, treatment, etc. Patients were divided into death group and survival group according to whether in-hospital death occurred.

[Induction of hairy roots of Panax ginseng and studies on suitable culture condition of ginseng hairy roots].

Ginseng is a valuable medicinal plant with ginsenosides as its mian effective components. Because ginseng is a perennial plant and has a very strict demand for soil conditions, the way of cultivating ginseng by cutting woods is still used in China at present and thus forest resources has been extremely destroyed. Increasing attention has been paid to the hairy roots induced by the infection of Agrobacterium rhizogenes in the production of plant secondary metabolic products for the hairy roots are characterized by rapid growth and stable hereditary and biochemical traits.