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Akademický článek

Determination of critical indicators for identifying hypertension patients at high risk of complications: a literature review-based Delphi study and a preliminary empirical analysis

Autor: Kaiyue CHEN, Qiyun JIANG, Jiayun WANG, Yiying ZHANG, Anle LI, Jun LI, Chengyue LI

Publikováno v: Zhongguo gonggong weisheng, Vol 39, Iss 9, Pp 1108-1113 (2023)

ObjectiveTo explore critical indicators for identifying hypertension patients at high risk of hypertension-related complications for prevention and control of complications among community hypertension patients. Methods With boundary analyses, the ch

Externí odkaz: https://doaj.org/article/c43f8cf296d4400d8ca7250bca27a530

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Low-Frequency Oscillation Pattern Recognition Based on Wavelet Packet and SVM

Autor: Anle Li, Hui Xiao, Xu He, Ping Liu, Hui He, Hongmang Hu

Publikováno v: 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2).

Traditional low-frequency oscillation mode identification methods have complex calculation processes and poor real-time performance, which make it difficult to meet the computational requirements of pattern classification of low-frequency oscillation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::17c423202cc197fbf97259dc22618ad3
https://doi.org/10.1109/ei247390.2019.9061841

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Analyses on the rate and epidemic characteristics of anxiety and depression among cancer patients in Yangpu District in Shanghai

Autor: Anle, Li

Publikováno v: Asian Pacific journal of cancer prevention : APJCP. 10(5)

To investigate the rate and epidemic characteristics of anxiety and depression of cancer patients in Yangpu district in Shanghai, China.A self-rating anxiety scale (SAS) and a self-rating depression scale (SDS) were used to value the index of depress

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::a14d5c1a76af610558a70896f9047b11
https://pubmed.ncbi.nlm.nih.gov/20104985

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