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A total of 6 result was found. Results that relate to WU Ruikai

Construction of the risk predition model of mild cognitive impairment in hospitalized elder patients

Published on New Medicine 2024,34(1):14-24.
10393 times 2619 times

WU Ruikai MA Long ZHOU Xiaohui HAN Zhengfeng

Mild cognitive impairment Multivariate Logistic regression model Decision tree model Neural network model Prediction model Elderly
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Time series analysis of the effect of diurnal temperature range on daily inpatients with chronic kidney disease in Urumqi

Published on New Medicine 2024,34(2):137-148.
10876 times 2853 times

WU Ruikai ZHANG Ying YANG Haofeng MA Long SU Deqi

Diurnal temperature range Chronic kidney disease Distributed lag no-linear model Daily hospitalizations Time series analysis
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Constructing a predictive model for mild cognitive impairment in elderly individuals with coexisting multiple diseases based on machine learning algorithms

Published on New Medicine 2025,35(4):409-418.
15479 times 2371 times

ZHANG Lei HU Xintao CHEN Wei XIANG Xuan ZOU Ting MIAO Haijun WU Ruikai ZHOU Xiaohui

Mild cognitive impairment Coexistence of multiple illnesses Machine learning Predictive model Shapley addition explantation algorithm
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Analysis and trend prediction of the disease burden of atrial fibrillation and flutter in China from 1990 to 2021

Published on New Medicine 2025,35(8):892-902.
8978 times 1586 times

HUO Wenxia MA Yan WU Ruikai HAN Zhengfeng

Atrial fibrillation and flutter Age-period-cohort model Prediction Global disease burden Autoregressive integrated moving average model
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Analysis of depression burden and attribution risk factors among Chinese adolescents aged 10~24 from 1990 to 2021

Published on New Medicine 2025,35(9):1033-1040.
23242 times 1850 times

LIU Jing XU Bin AN Jingrong·An Zhiguo WU Ruikai Gao Shuaishuai

Depression Teenagers Disease burden Attributing risk factors Forecast The global burden of disease
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Constructing a depression risk prediction model for elderly people with activities of daily living impairment based on machine learning algorithms

Published on New Medicine 2026,36(1):37-46.
5584 times 843 times

HUANG Siying MA Yan ZHANG Yuan WU Ruikai HAN Zhengfeng

Activity of daily living ability Depression Risk prediction model Machine learning SHAP algorithm
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