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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.
9812 times 2441 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.
10105 times 2689 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.
13311 times 2128 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.
7787 times 1365 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.
19971 times 1522 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.
4787 times 626 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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