A total of 6 result was found. Results that relate to Machine learning

• Construction of a prediction model for moderate to severe perimenopausal syndrome based on machine learning algorithms

  ZHANG Min GU Tingting GUAN Wei LIU Xiangxiang SHI Junyao DOI：10.12173/j.issn.1004-5511.202405116

  Perimenopausal syndrome Perimenopausal women Machine learning Prediction

  Details Download Mobile

• Evaluation of liver fibrosis in patients with metabolic dysfunction-associated steatotic liver disease using ultrasound controlled attenuation parameter combined with clinical features

  LIU Chunyu TANG Jingkuan ZHAO Wei DOI：10.12173/j.issn.1004-5511.202408019

  Metabolic dysfunction-associated steatotic liver disease Liver fibrosis Ultrasound Controlled attenuation parameter Machine learning Diagnose

  Details Download Mobile

• The role of neutrophil extracellular traps in ulcerative colitis

  MENG Qiuyue YUAN Yifan LI Na LU Jiali YE Mei DOI：10.12173/j.issn.1004-5511.202412002

  Neutrophil extracellular traps Ulcerative colitis Single-cell and bulk RNA sequencing Machine learning Molecular classification

  Details Download Mobile

• Constructing a predictive model for mild cognitive impairment in elderly individuals with coexisting multiple diseases based on machine learning algorithms

  ZHANG Lei HU Xintao CHEN Wei XIANG Xuan ZOU Ting MIAO Haijun WU Ruikai ZHOU Xiaohui DOI：10.12173/j.issn.1004-5511.202312108

  Mild cognitive impairment Coexistence of multiple illnesses Machine learning Predictive model Shapley addition explantation algorithm

  Details Download Mobile

• Application of different machine learning algorithms in the construction of prognostic models for rectal squamous cell carcinoma: based on SEER database

  HUANG Shi LIN Dandan DOI：10.12173/j.issn.1004-5511.202410124

  Rectal squamous cell carcinoma Machine learning Prediction model Prognosis

  Details Download Mobile

• Research on machine learning model-assisted screening of high-risk tumor surgery patients and the effectiveness of pre-admission management

  GONG Yuhong SHANG Nan HE Yasha ZHANG Shaoguo WANG Wentian YANG Zhuang YANG Lulu LIU Yanmei GAO Hongmei ZHAO Jingyuan ZHOU Peibin DOI：10.12173/j.issn.1004-5511.202503188

  Pre-admission model Length of stay Hospitalization costs Propensity score matching Machine learning High-risk tumor patients

  Details Download Mobile