PDF(Pubmed)
Abstract：
UNASSIGNED: Comprehensive data analyses in heart failure research can provide academics with information and help policymakers formulate relevant policies. We collected data from reports published between 1945 and 2021 to identify research topics, trends, and cross-domains in the heart failure disease literature.
UNASSIGNED: Text fragments were extracted and clustered from the titles and abstracts in 270617 publications using artificial intelligence techniques. Two algorithms were used to corroborate the results and ensure that they were reliable. Experts named themes and document clusters based on the results of these semiautomated methods. Using consistent methods, we identified and flagged 107 heart failure topics and 16 large document clusters (divided into two groups by time). The annual vocabularies of research hotspots were calculated to draw attention to niche research fields.
UNASSIGNED: Clinical research is an expanding field, followed by basic research and population research. The most frequently raised issues were intensive care treatment for heart failure, applications of artificial intelligence technologies, cardiac assist devices, stem cells, genetics, and regional distribution and use of heart failure-related health care. Risk scoring and classification, care for patients, readmission, health economics of treatment and care, and cell regeneration and signaling pathways were among the fastest-growing themes. Drugs, signaling pathways, and biomarkers were all crucial issues for clinical and basic research in the entire population. Studies on intelligent medicine and telemedicine, interventional therapy for valvular disease, and novel coronavirus have emerged recently.
UNASSIGNED: Clinical and population research is increasingly focusing on the customization of intelligent treatments, improving the quality of patients\' life, and developing novel treatments. Basic research is increasingly focusing on regenerative medicine, translational medicine, and signaling pathways. Additionally, each research field exhibits mutual fusion characteristics. Medical demands, new technologies, and social support are all potential drivers for these changes.
UNASSIGNED: Text fragments were extracted and clustered from the titles and abstracts in 270617 publications using artificial intelligence techniques. Two algorithms were used to corroborate the results and ensure that they were reliable. Experts named themes and document clusters based on the results of these semiautomated methods. Using consistent methods, we identified and flagged 107 heart failure topics and 16 large document clusters (divided into two groups by time). The annual vocabularies of research hotspots were calculated to draw attention to niche research fields.
UNASSIGNED: Clinical research is an expanding field, followed by basic research and population research. The most frequently raised issues were intensive care treatment for heart failure, applications of artificial intelligence technologies, cardiac assist devices, stem cells, genetics, and regional distribution and use of heart failure-related health care. Risk scoring and classification, care for patients, readmission, health economics of treatment and care, and cell regeneration and signaling pathways were among the fastest-growing themes. Drugs, signaling pathways, and biomarkers were all crucial issues for clinical and basic research in the entire population. Studies on intelligent medicine and telemedicine, interventional therapy for valvular disease, and novel coronavirus have emerged recently.
UNASSIGNED: Clinical and population research is increasingly focusing on the customization of intelligent treatments, improving the quality of patients\' life, and developing novel treatments. Basic research is increasingly focusing on regenerative medicine, translational medicine, and signaling pathways. Additionally, each research field exhibits mutual fusion characteristics. Medical demands, new technologies, and social support are all potential drivers for these changes.
摘要：
■心力衰竭研究中的全面数据分析可以为学者提供信息，并帮助决策者制定相关政策。我们从1945年至2021年发表的报告中收集数据，以确定研究主题，趋势,以及心力衰竭疾病文献中的交叉领域。
■使用人工智能技术从270617种出版物的标题和摘要中提取文本片段并进行聚类。使用两种算法来证实结果并确保它们是可靠的。专家根据这些半自动方法的结果命名主题和文档集群。使用一致的方法，我们确定并标记了107个心力衰竭主题和16个大型文档集群(按时间分为两组).计算了研究热点的年度词汇，以引起人们对利基研究领域的关注。
■临床研究是一个不断扩展的领域，其次是基础研究和人口研究。最常见的问题是心力衰竭的重症监护治疗，人工智能技术的应用，心脏辅助装置,干细胞,遗传学,以及心力衰竭相关医疗保健的区域分布和使用。风险评分和分类，照顾病人,重新接纳,治疗和护理的卫生经济学，细胞再生和信号通路是增长最快的主题之一。毒品,信号通路，和生物标志物都是整个人群临床和基础研究的关键问题。智能医学和远程医疗研究，瓣膜疾病的介入治疗,最近出现了新型冠状病毒。
■临床和人群研究越来越关注智能治疗的定制，提高患者的生活质量，并开发新的治疗方法。基础研究越来越关注再生医学，转化医学，和信号通路。此外,每个研究领域都表现出相互融合的特点。医疗需求，新技术,和社会支持都是这些变化的潜在驱动因素。
■使用人工智能技术从270617种出版物的标题和摘要中提取文本片段并进行聚类。使用两种算法来证实结果并确保它们是可靠的。专家根据这些半自动方法的结果命名主题和文档集群。使用一致的方法，我们确定并标记了107个心力衰竭主题和16个大型文档集群(按时间分为两组).计算了研究热点的年度词汇，以引起人们对利基研究领域的关注。
■临床研究是一个不断扩展的领域，其次是基础研究和人口研究。最常见的问题是心力衰竭的重症监护治疗，人工智能技术的应用，心脏辅助装置,干细胞,遗传学,以及心力衰竭相关医疗保健的区域分布和使用。风险评分和分类，照顾病人,重新接纳,治疗和护理的卫生经济学，细胞再生和信号通路是增长最快的主题之一。毒品,信号通路，和生物标志物都是整个人群临床和基础研究的关键问题。智能医学和远程医疗研究，瓣膜疾病的介入治疗,最近出现了新型冠状病毒。
■临床和人群研究越来越关注智能治疗的定制，提高患者的生活质量，并开发新的治疗方法。基础研究越来越关注再生医学，转化医学，和信号通路。此外,每个研究领域都表现出相互融合的特点。医疗需求，新技术,和社会支持都是这些变化的潜在驱动因素。
