Automatic extraction of the patient’s health information from the unstructured data concerning the discharge summary remains challenging.Discharge summary related documents contain various aspects of the patient heal...Automatic extraction of the patient’s health information from the unstructured data concerning the discharge summary remains challenging.Discharge summary related documents contain various aspects of the patient health condition to examine the quality of treatment and thereby help improve decision-making in the medical field.Using a sentiment dictionary and feature engineering,the researchers primarily mine semantic text features.However,choosing and designing features requires a lot of manpower.The proposed approach is an unsupervised deep learning model that learns a set of clusters embedded in the latent space.A composite model including Active Learning(AL),Convolutional Neural Network(CNN),BiGRU,and Multi-Attention,called ACBMA in this research,is designed to measure the quality of treatment based on discharge summaries text sentiment detection.CNN is utilized for extracting the set of local features of text vectors.Then BiGRU network was utilized to extract the text’s global features to solve the issues that a single CNN cannot obtain global semantic information and the traditional Recurrent Neural Network(RNN)gradient disappearance.Experiments prove that the ACBMA method can demonstrate the effectiveness of the suggested method,achieve comparable results to state-of-arts methods in sentiment detection,and outperform them with accurate benchmarks.Finally,several algorithm studies ultimately determined that the ACBMA method is more precise for discharge summaries sentiment analysis.展开更多
Nowadays,data is very rapidly increasing in every domain such as social media,news,education,banking,etc.Most of the data and information is in the form of text.Most of the text contains little invaluable information ...Nowadays,data is very rapidly increasing in every domain such as social media,news,education,banking,etc.Most of the data and information is in the form of text.Most of the text contains little invaluable information and knowledge with lots of unwanted contents.To fetch this valuable information out of the huge text document,we need summarizer which is capable to extract data automatically and at the same time capable to summarize the document,particularly textual text in novel document,without losing its any vital information.The summarization could be in the form of extractive and abstractive summarization.The extractive summarization includes picking sentences of high rank from the text constructed by using sentence and word features and then putting them together to produced summary.An abstractive summarization is based on understanding the key ideas in the given text and then expressing those ideas in pure natural language.The abstractive summarization is the latest problem area for NLP(natural language processing),ML(Machine Learning)and NN(Neural Network)In this paper,the foremost techniques for automatic text summarization processes are defined.The different existing methods have been reviewed.Their effectiveness and limitations are described.Further the novel approach based on Neural Network and LSTM has been discussed.In Machine Learning approach the architecture of the underlying concept is called Encoder-Decoder.展开更多
The guidelines for nutritional screening of head-and-neck cancer patients were systematically searched and screened from BMJ Best Practice,National Comprehensive Cancer Network,Britain's National Institute for Hea...The guidelines for nutritional screening of head-and-neck cancer patients were systematically searched and screened from BMJ Best Practice,National Comprehensive Cancer Network,Britain's National Institute for Health and Clinical Excellence,National Guideline Clearinghouse,Scottish Intercollegiate Guidelines Network,Guidelines International Network,New Zealand Guidelines Group,Australian National Health and Medical Research Council,Medlive,PubMed,Embase,CINAHL,China Biology Medicine,VIP,Chinese National Knowledge Infrastructure,and Wanfang.Four researchers evaluated the quality of the included literature and extracted evidence from the literature that met the quality standards.Finally,a total of six guidelines were included and ten best evidences were concluded.As only one guideline in this study is from China,and the rest are from other countries,the applicability and effectiveness of some evidence in the Chinese population still need to be further explored and studied.Therefore,when using evidence,medical staff should make appraisal on working environment in their hospital,factors that facilitate or hinder the use of evidence,and willingness of patients,and thus scientifically provide the best evidence for the management of clinical nutrition for head-and-neck cancer patients and provide a reference for the establishment of the standard process of nutritional screening for head-and-neck cancer patients.展开更多
Sports video appeals to large audiences due to its high commercial potentials. Automatically extracting useful se- mantic information and generating highlight summary from sports video to facilitate users’ accessing ...Sports video appeals to large audiences due to its high commercial potentials. Automatically extracting useful se- mantic information and generating highlight summary from sports video to facilitate users’ accessing requirements is an important problem, especially in the forthcoming broadband mobile communication and the need for users to access their multimedia in- formation of interest from anywhere at anytime with their most convenient digital equipments. In this paper, a system to generate highlight summaries oriented for mobile applications is introduced, which includes highlight extraction and video adaptation. In this system, several highlight extraction techniques are provided for field sports video and racket sports video by using multi-modal information. To enhance users’ viewing experience and save bandwidth, 3D animation from highlight segment is also generated. As an important procedure to make video analysis results universally applicable, video transcoding techniques are applied to adapt the video for mobile communication environment and user preference. Experimental results are encouraging and show the advantage and feasibility of the system for multimedia content personalization, enhancement and adaptation to meet different user preference and network/device requirements.展开更多
A nursing care planning system that automatically generated nursing summaries from information entered into the Psychiatric Outcome Management System (PSYCHOMS?, Tanioka et al.), was developed to enrich the content of...A nursing care planning system that automatically generated nursing summaries from information entered into the Psychiatric Outcome Management System (PSYCHOMS?, Tanioka et al.), was developed to enrich the content of nursing summaries at psychiatric hospitals, thereby reducing the workload of nurses. Preparing nursing summaries entails finding the required information in nursing records that span a long period of time and then concisely summarizing this information. This time consuming process depends on the clinical experience and writing ability of the nurse. The system described here automatically generates the text data needed for nursing summaries using an algorithm that synthesizes patient information recorded in electronic charts, the Nursing Care Plan information or the data entered for North American Nursing Diagnosis Association (NANDA) 13 domains with predetermined fixed phrases. Advantages of this system are that it enables nursing summaries to be generated automatically in real time, simplifies the process, and permits the standardization of useful nursing summaries that reflect the course of the nursing care provided and its evaluation. Use of this system to automatically generate nursing summaries will allow more nursing time to be devoted to patient care. The system is also useful because it enables nursing summaries that contain the required information to be generated regardless of who prepares them.展开更多
目的检索、评价并整合国内外眼科超声乳化手柄清洗质量管理的相关证据,为临床实践提供指导。方法计算机检索国际指南协作网、美国国立指南网、BMJ Best Practice、PubMed、万方数据库、中国知网等网站或数据库中关于眼科超声乳化手柄清...目的检索、评价并整合国内外眼科超声乳化手柄清洗质量管理的相关证据,为临床实践提供指导。方法计算机检索国际指南协作网、美国国立指南网、BMJ Best Practice、PubMed、万方数据库、中国知网等网站或数据库中关于眼科超声乳化手柄清洗质量管理的所有证据,包括指南、专家共识、系统评价及证据总结,检索时限为从建库至2023年2月15日。结果共纳入10篇文献,其中实践指南4篇,专家共识4篇,系统评价1篇,证据总结1篇。总结了管理要求、环境要求、设备设施与耗材要求、人员要求、操作要求、现场预处理、回收转运、清洗及清洗质量评价9个方面共38条证据。结论该研究总结了眼科超声乳化手柄清洗质量管理的最佳证据,为规范超声乳化手柄的清洗质量管理提供了循证依据,可为提高眼科器械清洗质量水平、预防与控制医院感染发生提供参考。展开更多
目的检索、评价及汇总成人吸入性损伤肺康复相关证据。方法计算机检索BMJ Best Practice、UpToDate临床顾问、JBI图书馆、Cochrane图书馆、国际烧伤协会、欧洲烧伤协会、美国烧伤协会、日本皮肤病学协会、中国知网、万方数据库、中国生...目的检索、评价及汇总成人吸入性损伤肺康复相关证据。方法计算机检索BMJ Best Practice、UpToDate临床顾问、JBI图书馆、Cochrane图书馆、国际烧伤协会、欧洲烧伤协会、美国烧伤协会、日本皮肤病学协会、中国知网、万方数据库、中国生物医学数据库等网站中关于成人吸入性损伤相关的临床实践指南、专家共识、证据总结、系统评价及随机对照试验,检索时限为建库至2022年12月31日。进行文献质量评价后,根据主题对证据进行提取与汇总。结果根据纳入标准筛选出证据16篇,包括临床实践指南7篇、专家共识5篇、系统评价3篇、随机对照试验1篇。通过阅读、提取和归类,总结了对证据进行梳理,最终形成肺康复评估、肺康复模式、肺康复时机、肺康复时长、肺康复地点、肺康复方式、肺康复营养支持及效果评价8个维度,20条证据。结论本研究基于总结多个国家及地域成人吸入性损伤的肺康复管理证据,供医护人员根据临床实际情况选择证据进行干预。展开更多
目的 检索、总结宫颈癌患者术后性健康教育有关的最佳证据,为更好地对临床宫颈癌患者提供性健康和功能障碍方面的宣教奠定基础。方法 以“6S”金字塔为模型,使用计算机检索BMJ Best Practice、Up To Date、国际指南协作网、美国国立指...目的 检索、总结宫颈癌患者术后性健康教育有关的最佳证据,为更好地对临床宫颈癌患者提供性健康和功能障碍方面的宣教奠定基础。方法 以“6S”金字塔为模型,使用计算机检索BMJ Best Practice、Up To Date、国际指南协作网、美国国立指南库、英国国家临床医学研究所指南库、苏格兰学院间指南网等关于宫颈癌患者性健康教育相关的指南(检索时限为建库至2022年9月20日),并检索了性专业网站及肿瘤相关网站。根据纳入标准遴选文献,由2名研究者背对背对纳入文献进行质量评价和证据提取。结果 本研究最终共纳入5篇指南,形成的证据包括5个方面(分别为评估问询、相关症状、性心理、阴道扩张和用药指导)共20条证据。结论 宫颈癌患者术后性健康教育的最佳证据总结,有助于指导医护人员以更科学的方式对宫颈癌患者进行健康宣教,从而改善患者的生活质量和心理幸福感。展开更多
目的总结成人患者安全输注血管活性药物的最佳证据总结,为临床护理工作提供证据支持。方法检索UpToDate、BMJ Best Practice、澳大利亚乔安娜布里格斯研究所循证卫生保健中心数据库、Cochrane Library、美国国立指南库、美国疾病预防与...目的总结成人患者安全输注血管活性药物的最佳证据总结,为临床护理工作提供证据支持。方法检索UpToDate、BMJ Best Practice、澳大利亚乔安娜布里格斯研究所循证卫生保健中心数据库、Cochrane Library、美国国立指南库、美国疾病预防与控制中心、英国国家临床医学研究所指南库、国际指南协作网、CINAHL、Embase、加拿大安大略注册护士协会、英国重症监护协会、美国静脉输液护理学会、PubMed、Web of Science、中国知网、万方数据库、维普网、中华护理学会、中国生物医学文献数据库和医脉通中有关成人患者血管活性药物输注的指南、专家共识、团体标准、系统评价、证据总结和原始研究等证据。检索时限为2013年1月1日-2023年3月10日。由2名具有循证护理研究背景的研究者独立进行文献质量评价及证据筛查,证据汇总后由团队归类综合。结果共纳入12篇文献,从培训与教育、评估、血管通路选择、输注方案、并发症管理5个维度总结了29条证据。结论该研究总结了成人患者血管活性药物输注的最佳证据,可为医务人员提供科学的输注方案,保证患者安全,提高护理质量。展开更多
基金This work was supported by the National Natural Science Foundation of China(Grant No.U1811262).
文摘Automatic extraction of the patient’s health information from the unstructured data concerning the discharge summary remains challenging.Discharge summary related documents contain various aspects of the patient health condition to examine the quality of treatment and thereby help improve decision-making in the medical field.Using a sentiment dictionary and feature engineering,the researchers primarily mine semantic text features.However,choosing and designing features requires a lot of manpower.The proposed approach is an unsupervised deep learning model that learns a set of clusters embedded in the latent space.A composite model including Active Learning(AL),Convolutional Neural Network(CNN),BiGRU,and Multi-Attention,called ACBMA in this research,is designed to measure the quality of treatment based on discharge summaries text sentiment detection.CNN is utilized for extracting the set of local features of text vectors.Then BiGRU network was utilized to extract the text’s global features to solve the issues that a single CNN cannot obtain global semantic information and the traditional Recurrent Neural Network(RNN)gradient disappearance.Experiments prove that the ACBMA method can demonstrate the effectiveness of the suggested method,achieve comparable results to state-of-arts methods in sentiment detection,and outperform them with accurate benchmarks.Finally,several algorithm studies ultimately determined that the ACBMA method is more precise for discharge summaries sentiment analysis.
文摘Nowadays,data is very rapidly increasing in every domain such as social media,news,education,banking,etc.Most of the data and information is in the form of text.Most of the text contains little invaluable information and knowledge with lots of unwanted contents.To fetch this valuable information out of the huge text document,we need summarizer which is capable to extract data automatically and at the same time capable to summarize the document,particularly textual text in novel document,without losing its any vital information.The summarization could be in the form of extractive and abstractive summarization.The extractive summarization includes picking sentences of high rank from the text constructed by using sentence and word features and then putting them together to produced summary.An abstractive summarization is based on understanding the key ideas in the given text and then expressing those ideas in pure natural language.The abstractive summarization is the latest problem area for NLP(natural language processing),ML(Machine Learning)and NN(Neural Network)In this paper,the foremost techniques for automatic text summarization processes are defined.The different existing methods have been reviewed.Their effectiveness and limitations are described.Further the novel approach based on Neural Network and LSTM has been discussed.In Machine Learning approach the architecture of the underlying concept is called Encoder-Decoder.
文摘The guidelines for nutritional screening of head-and-neck cancer patients were systematically searched and screened from BMJ Best Practice,National Comprehensive Cancer Network,Britain's National Institute for Health and Clinical Excellence,National Guideline Clearinghouse,Scottish Intercollegiate Guidelines Network,Guidelines International Network,New Zealand Guidelines Group,Australian National Health and Medical Research Council,Medlive,PubMed,Embase,CINAHL,China Biology Medicine,VIP,Chinese National Knowledge Infrastructure,and Wanfang.Four researchers evaluated the quality of the included literature and extracted evidence from the literature that met the quality standards.Finally,a total of six guidelines were included and ten best evidences were concluded.As only one guideline in this study is from China,and the rest are from other countries,the applicability and effectiveness of some evidence in the Chinese population still need to be further explored and studied.Therefore,when using evidence,medical staff should make appraisal on working environment in their hospital,factors that facilitate or hinder the use of evidence,and willingness of patients,and thus scientifically provide the best evidence for the management of clinical nutrition for head-and-neck cancer patients and provide a reference for the establishment of the standard process of nutritional screening for head-and-neck cancer patients.
基金Project supported by NEC Research of China (No. 0P2004001),"Science 100 Plan" of the Chinese Academy of Sciences (No. m2041),and the Natural Science Foundation (No. 4063041) of Beijing, China
文摘Sports video appeals to large audiences due to its high commercial potentials. Automatically extracting useful se- mantic information and generating highlight summary from sports video to facilitate users’ accessing requirements is an important problem, especially in the forthcoming broadband mobile communication and the need for users to access their multimedia in- formation of interest from anywhere at anytime with their most convenient digital equipments. In this paper, a system to generate highlight summaries oriented for mobile applications is introduced, which includes highlight extraction and video adaptation. In this system, several highlight extraction techniques are provided for field sports video and racket sports video by using multi-modal information. To enhance users’ viewing experience and save bandwidth, 3D animation from highlight segment is also generated. As an important procedure to make video analysis results universally applicable, video transcoding techniques are applied to adapt the video for mobile communication environment and user preference. Experimental results are encouraging and show the advantage and feasibility of the system for multimedia content personalization, enhancement and adaptation to meet different user preference and network/device requirements.
文摘A nursing care planning system that automatically generated nursing summaries from information entered into the Psychiatric Outcome Management System (PSYCHOMS?, Tanioka et al.), was developed to enrich the content of nursing summaries at psychiatric hospitals, thereby reducing the workload of nurses. Preparing nursing summaries entails finding the required information in nursing records that span a long period of time and then concisely summarizing this information. This time consuming process depends on the clinical experience and writing ability of the nurse. The system described here automatically generates the text data needed for nursing summaries using an algorithm that synthesizes patient information recorded in electronic charts, the Nursing Care Plan information or the data entered for North American Nursing Diagnosis Association (NANDA) 13 domains with predetermined fixed phrases. Advantages of this system are that it enables nursing summaries to be generated automatically in real time, simplifies the process, and permits the standardization of useful nursing summaries that reflect the course of the nursing care provided and its evaluation. Use of this system to automatically generate nursing summaries will allow more nursing time to be devoted to patient care. The system is also useful because it enables nursing summaries that contain the required information to be generated regardless of who prepares them.
文摘目的检索、评价并整合国内外眼科超声乳化手柄清洗质量管理的相关证据,为临床实践提供指导。方法计算机检索国际指南协作网、美国国立指南网、BMJ Best Practice、PubMed、万方数据库、中国知网等网站或数据库中关于眼科超声乳化手柄清洗质量管理的所有证据,包括指南、专家共识、系统评价及证据总结,检索时限为从建库至2023年2月15日。结果共纳入10篇文献,其中实践指南4篇,专家共识4篇,系统评价1篇,证据总结1篇。总结了管理要求、环境要求、设备设施与耗材要求、人员要求、操作要求、现场预处理、回收转运、清洗及清洗质量评价9个方面共38条证据。结论该研究总结了眼科超声乳化手柄清洗质量管理的最佳证据,为规范超声乳化手柄的清洗质量管理提供了循证依据,可为提高眼科器械清洗质量水平、预防与控制医院感染发生提供参考。
文摘目的检索、评价及汇总成人吸入性损伤肺康复相关证据。方法计算机检索BMJ Best Practice、UpToDate临床顾问、JBI图书馆、Cochrane图书馆、国际烧伤协会、欧洲烧伤协会、美国烧伤协会、日本皮肤病学协会、中国知网、万方数据库、中国生物医学数据库等网站中关于成人吸入性损伤相关的临床实践指南、专家共识、证据总结、系统评价及随机对照试验,检索时限为建库至2022年12月31日。进行文献质量评价后,根据主题对证据进行提取与汇总。结果根据纳入标准筛选出证据16篇,包括临床实践指南7篇、专家共识5篇、系统评价3篇、随机对照试验1篇。通过阅读、提取和归类,总结了对证据进行梳理,最终形成肺康复评估、肺康复模式、肺康复时机、肺康复时长、肺康复地点、肺康复方式、肺康复营养支持及效果评价8个维度,20条证据。结论本研究基于总结多个国家及地域成人吸入性损伤的肺康复管理证据,供医护人员根据临床实际情况选择证据进行干预。
文摘目的 检索、总结宫颈癌患者术后性健康教育有关的最佳证据,为更好地对临床宫颈癌患者提供性健康和功能障碍方面的宣教奠定基础。方法 以“6S”金字塔为模型,使用计算机检索BMJ Best Practice、Up To Date、国际指南协作网、美国国立指南库、英国国家临床医学研究所指南库、苏格兰学院间指南网等关于宫颈癌患者性健康教育相关的指南(检索时限为建库至2022年9月20日),并检索了性专业网站及肿瘤相关网站。根据纳入标准遴选文献,由2名研究者背对背对纳入文献进行质量评价和证据提取。结果 本研究最终共纳入5篇指南,形成的证据包括5个方面(分别为评估问询、相关症状、性心理、阴道扩张和用药指导)共20条证据。结论 宫颈癌患者术后性健康教育的最佳证据总结,有助于指导医护人员以更科学的方式对宫颈癌患者进行健康宣教,从而改善患者的生活质量和心理幸福感。
文摘目的总结成人患者安全输注血管活性药物的最佳证据总结,为临床护理工作提供证据支持。方法检索UpToDate、BMJ Best Practice、澳大利亚乔安娜布里格斯研究所循证卫生保健中心数据库、Cochrane Library、美国国立指南库、美国疾病预防与控制中心、英国国家临床医学研究所指南库、国际指南协作网、CINAHL、Embase、加拿大安大略注册护士协会、英国重症监护协会、美国静脉输液护理学会、PubMed、Web of Science、中国知网、万方数据库、维普网、中华护理学会、中国生物医学文献数据库和医脉通中有关成人患者血管活性药物输注的指南、专家共识、团体标准、系统评价、证据总结和原始研究等证据。检索时限为2013年1月1日-2023年3月10日。由2名具有循证护理研究背景的研究者独立进行文献质量评价及证据筛查,证据汇总后由团队归类综合。结果共纳入12篇文献,从培训与教育、评估、血管通路选择、输注方案、并发症管理5个维度总结了29条证据。结论该研究总结了成人患者血管活性药物输注的最佳证据,可为医务人员提供科学的输注方案,保证患者安全,提高护理质量。
