参考文献 References
[1] DeKeyser F G ,Keshet R ,Muhammad E , et al.The need for palliative and support care services for heart failure patients in the community.[J].European journal of cardiovascular nursing: journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology,2020,20(2): 1474515120951970-1474515120951970.
[2] 段永杰,钟琴,饶宠佑,等.慢性心衰患者的远程疾病管理计划有效性评价:一项非劣效性随机对照试验[J].解放军医学院学报,2024,45(03):213-222+238.
[3] Ahmed A ,Jennifer D ,A K S , et al.Factors Affecting Patient and Physician Engagement in Remote Health Care for Heart Failure: Systematic Review.[J].JMIR cardio,2022,6(1):e33366-e33366.
[4] Josef S ,Carsten S ,Biykem B , et al.Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization: The LINK-HF Multicenter Study.[J].Circulation. Heart failure,2020,13(3):e006513.
[5] Hasan M M S ,Joanna F ,Alex J H , et al.Estimation of Changes in Intracardiac Hemodynamics Using Wearable Seismocardiography and Machine Learning in Patients With Heart Failure: A Feasibility Study.[J].IEEE transactions on bio-medical engineering,2022,69(8):2443-2455.
[6] Shah J A ,Isakadze N ,Levantsevych O , et al.Detecting heart failure using wearables: a pilot study[J].Physiological Measurement,2020,41(4):044001.
[7] Sebastian K ,Vincent P ,Sven H , et al.From population- to patient-based prediction of in-hospital mortality in heart failure using machine learning.[J].European heart journal. Digital health,2022,3(2):307-310.
[8] Yuta N ,Tomomi I ,Tae H , et al.Home-based cardiac rehabilitation using information and communication technology for heart failure patients with frailty.[J].ESC heart failure,2022,9(4):2407-2418.
[9] Samol A ,Bischof K ,Luani B , et al.Single-Lead ECG Recordings Including Einthoven and Wilson Leads by a Smartwatch: A New Era of Patient Directed Early ECG Differential Diagnosis of Cardiac Diseases?[J].Sensors, 2019,19(20):4377-4377.
[10] Karim B ,Mohammed G ,Abdallah E , et al.Smart wearable devices in cardiovascular care: where we are and how to move forward.[J].Nature reviews. Cardiology,2021,18(8): 581-599.
[11] 肖爽,赵庆华,邹依然,等.多模态数据融合的护理信息系统架构及应用分析[J].护理学杂志,2020,35(19):88-90.
[12] 卢静,孙国珍,王洁,等.慢性心力衰竭患者社会衰弱现状及其影响因素可解释性分析研究[J].中国全科医学,2025, 28(02):220-227.
[13] 于桂香,张颖慧,秦双燕,等.老年慢性心力衰竭患者院内发生急性心力衰竭风险预测模型构建与比较[J].中国医学前沿杂志(电子版),2022,14(05):37-41.
[14] Zhang J C ,Lu Y,Tang Q F , et al.Heart failure classification using deep learning to extract spatiotemporal features from ECG.[J].BMC medical informatics and decision making, 2024,24(1):17-17.
[15] 卢文婷,姚远,熊静,等.机器学习在心血管疾病辅助诊断模型中的效果[J].中华全科医学,2023,21(01):112-117.
[16] Yasuyuki S ,Shinichi G ,Nozomi N , et al.Improved prediction of sudden cardiac death in patients with heart failure through digital processing of electrocardiography. [J].Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2023,25(3)
[17] 李娜,罗玮敏,雷蕾,等.基于RR间期构建常见心律失常Informer分类模型的研究[J/OL].心脏杂志,1-6[2025-03-09].http://kns.cnki.net/kcms/detail/61.1268.r.20241203.1130.001.html.
[18] Sulaiman S ,J A R ,Felix R , et al.Deep learning and the electrocardiogram: review of the current state-of-the-art.[J].Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2021,23(8):1179-1191.
[19] Sara S ,Basem F ,Adeebah N R M , et al.Harnessing artificial intelligence in cardiac rehabilitation, a systematic review[J].Future Cardiology,2021,0(0):154-164.
[20] 李臻,陈若愚,鲁兴华,等.用于心衰患者重入院预测的LSTM模型[J].计算机应用与软件,2023,40(06):343-349.
[21] Jili L ,Siru L ,Yundi H , et al.Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study.[J].Journal of medical Internet research,2022, 24(8):e38082-e38082.
[22] 郭汉,帅仁俊,马力,等.基于AB-CNN-BiLSTM心衰死亡率预测模型[J].计算机应用与软件,2021,38(04):37-42.
[23] 赫兰,路洋,夏志刚,等.基于深度学习的人工智能模型自动量化超声心动图左心室射血分数初步探索[J].实用临床医药杂志,2024,28(09):9-14.
[24] 张岩,张力,彭君,等.基于精益六西格玛法及人工智能探索冠状动脉CT血管成像高效检查模式[J].临床医药实践,2024,33(05):362-365.
[25] Zijun C ,Tingming L ,Sheng G , et al.Machine learning-based in-hospital mortality risk prediction tool for intensive care unit patients with heart failure.[J].Frontiers in cardiovascular medicine,2023,101119699-1119699.
[26] 乔连生,李军,谢兰,等.基于靶向转录组、专家经验和人工智能研发守正创新中药的路径探索——以治疗慢性心力衰竭的中药新药研发为例[J].中医杂志,2023,64(03): 217-224.