[HTML][HTML] Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission
Z Hu, H Qiu, L Wang, M Shen - BMC Medical Informatics and Decision …, 2022 - Springer
Background An aging population with a burden of chronic diseases puts increasing
pressure on health care systems. Early prediction of the hospital length of stay (LOS) can be …
pressure on health care systems. Early prediction of the hospital length of stay (LOS) can be …
PIAT: An evolutionarily intelligent system for deep phenotyping of chinese electronic health records
Electronic health record (EHR) resources are valuable but remain underexplored because
most clinical information, especially phenotype information, is buried in the free text of EHRs …
most clinical information, especially phenotype information, is buried in the free text of EHRs …
Auditing completion of nursing records as an outcome indicator for identifying patients at risk of developing pressure ulcers, falling, and social vulnerability: An …
M López, M Fernández‐Castro… - Journal of Nursing …, 2022 - Wiley Online Library
Aim To evaluate the completion of nursing records through scheduled audits to analyse risk
outcome indicators. Background Nursing records support clinical decision‐making and …
outcome indicators. Background Nursing records support clinical decision‐making and …
[PDF][PDF] 基于多特征属性相似的糖尿病早期预测方法
乔瀚， 容芷君， 许莹， 但斌斌， 赵慧 - 科学技术与工程, 2022 - stae.com.cn
摘要考虑样本数据集的差异性和相关性对疾病预测结果有着直接影响ꎬ 提出一种基于多特征
属性患者相似的糖尿病早期预测方法ꎬ 根据患者之间特征具有相似性这一特点ꎬ …
属性患者相似的糖尿病早期预测方法ꎬ 根据患者之间特征具有相似性这一特点ꎬ …
[图书][B] Computational Algorithms for Multi-omics and Electronic Health Records Data
J Guo - 2023 - search.proquest.com
Real world data have enhanced healthcare research, improving our understanding of
disease progression, aiding in diagnosis, and enabling the development of personalized …
disease progression, aiding in diagnosis, and enabling the development of personalized …