In a prior practice and policy article published in Healthcare Science,we introduced the deployed application of an artificial intelligence(AI)model to predict longer‐term inpatient readmissions to guide community ca...In a prior practice and policy article published in Healthcare Science,we introduced the deployed application of an artificial intelligence(AI)model to predict longer‐term inpatient readmissions to guide community care interventions for patients with complex conditions in the context of Singapore's Hospital to Home(H2H)program that has been operating since 2017.In this follow on practice and policy article,we further elaborate on Singapore's H2H program and care model,and its supporting AI model for multiple readmission prediction,in the following ways:(1)by providing updates on the AI and supporting information systems,(2)by reporting on customer engagement and related service delivery outcomes including staff‐related time savings and patient benefits in terms of bed days saved,(3)by sharing lessons learned with respect to(i)analytics challenges encountered due to the high degree of heterogeneity and resulting variability of the data set associated with the population of program participants,(ii)balancing competing needs for simpler and stable predictive models versus continuing to further enhance models and add yet more predictive variables,and(iii)the complications of continuing to make model changes when the AI part of the system is highly interlinked with supporting clinical information systems,(4)by highlighting how this H2H effort supported broader Covid‐19 response efforts across Singapore's public healthcare system,and finally(5)by commenting on how the experiences and related capabilities acquired from running this H2H program and related community care model and supporting AI prediction model are expected to contribute to the next wave of Singapore's public healthcare efforts from 2023 onwards.For the convenience of the reader,some content that introduces the H2H program and the multiple readmissions AI prediction model that previously appeared in the prior Healthcare Science publication is repeated at the beginning of this article.展开更多
Machining process data is the core of computer aided process planning application systems.It is also provides essen- tial content for product life cycle engineering.The character of CAPP that supports product LCE and ...Machining process data is the core of computer aided process planning application systems.It is also provides essen- tial content for product life cycle engineering.The character of CAPP that supports product LCE and virtual manufacturing is an- alyzed.The structure and content of machining process data concerning green manufacturing is also examined.A logic model of Machining Process Data has been built based on an object oriented approach,using UML technology and a physical model of machin- ing process data that utilizes XML technology.To realize the integration of design and process,an approach based on graph-based volume decomposition was apposed.Instead,to solve the problem of generation in the machining process,case-based reasoning and rule-based reasoning have been applied synthetically.Finally,the integration framework and interface that deal with the CAPP integration with CAD,CAM,PDM,and ERP are discussed.展开更多
An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, clo...An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, cloud data de-noising optimization, construction, display and operation of three-dimensional model, model editing, profile generation, calculation of goaf volume and roof area, Boolean calculation among models and interaction with the third party soft ware. Concerning this system with a concise interface, plentiful data input/output interfaces, it is featured with high integration, simple and convenient operations of applications. According to practice, in addition to being well-adapted, this system is favorably reliable and stable.展开更多
随着三级医院的功能需求和安全管理要求不断提高,传统的消防系统和监控系统已经无法满足要求。为了提升三级综合医院的整体安全管理水平,厦门大学附属第一医院采用建筑信息模型(Building Information Modeling,BIM)逆向建模,建立医院建...随着三级医院的功能需求和安全管理要求不断提高,传统的消防系统和监控系统已经无法满足要求。为了提升三级综合医院的整体安全管理水平,厦门大学附属第一医院采用建筑信息模型(Building Information Modeling,BIM)逆向建模,建立医院建筑数字化模型,搭建一体化管理平台,对消防系统与安防系统进行集成改造,实现综合安全管理系统三维可视化,各系统信息互联互通、实时联动、融合共享,医院的整体安全管理水平、智能化水平得以提升,以实时监控和预警为基础的安全管理模式得以建立。展开更多
Vietnam has a 4000-year old traditional system of pharmaco-medicine which was founded during the Hung King era （2879-257 B.C.）. Vietnamese traditional medicine （TM） came from the society and was developed during t...Vietnam has a 4000-year old traditional system of pharmaco-medicine which was founded during the Hung King era （2879-257 B.C.）. Vietnamese traditional medicine （TM） came from the society and was developed during the long years of living, working and struggling for existence among the Vietnamese people among 54 ethnic groups under extremely severe natural conditions, conflicts, and interaction with local neighboring nations such as China, Laos, Cambodia, india, etc. All of those form the foundations to shape the diversity, abundance and specialty of Vietnamese TM. Valuable experiences in TM have been transmitted from generation to generation, which is an important part of Vietnamese culture.展开更多
文摘In a prior practice and policy article published in Healthcare Science,we introduced the deployed application of an artificial intelligence(AI)model to predict longer‐term inpatient readmissions to guide community care interventions for patients with complex conditions in the context of Singapore's Hospital to Home(H2H)program that has been operating since 2017.In this follow on practice and policy article,we further elaborate on Singapore's H2H program and care model,and its supporting AI model for multiple readmission prediction,in the following ways:(1)by providing updates on the AI and supporting information systems,(2)by reporting on customer engagement and related service delivery outcomes including staff‐related time savings and patient benefits in terms of bed days saved,(3)by sharing lessons learned with respect to(i)analytics challenges encountered due to the high degree of heterogeneity and resulting variability of the data set associated with the population of program participants,(ii)balancing competing needs for simpler and stable predictive models versus continuing to further enhance models and add yet more predictive variables,and(iii)the complications of continuing to make model changes when the AI part of the system is highly interlinked with supporting clinical information systems,(4)by highlighting how this H2H effort supported broader Covid‐19 response efforts across Singapore's public healthcare system,and finally(5)by commenting on how the experiences and related capabilities acquired from running this H2H program and related community care model and supporting AI prediction model are expected to contribute to the next wave of Singapore's public healthcare efforts from 2023 onwards.For the convenience of the reader,some content that introduces the H2H program and the multiple readmissions AI prediction model that previously appeared in the prior Healthcare Science publication is repeated at the beginning of this article.
文摘Machining process data is the core of computer aided process planning application systems.It is also provides essen- tial content for product life cycle engineering.The character of CAPP that supports product LCE and virtual manufacturing is an- alyzed.The structure and content of machining process data concerning green manufacturing is also examined.A logic model of Machining Process Data has been built based on an object oriented approach,using UML technology and a physical model of machin- ing process data that utilizes XML technology.To realize the integration of design and process,an approach based on graph-based volume decomposition was apposed.Instead,to solve the problem of generation in the machining process,case-based reasoning and rule-based reasoning have been applied synthetically.Finally,the integration framework and interface that deal with the CAPP integration with CAD,CAM,PDM,and ERP are discussed.
基金Project(51274250)supported by the National Natural Science Foundation of ChinaProject(2012BAK09B02-05)supported by the National Key Technology R&D Program during the 12th Five-year Plan of China
文摘An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, cloud data de-noising optimization, construction, display and operation of three-dimensional model, model editing, profile generation, calculation of goaf volume and roof area, Boolean calculation among models and interaction with the third party soft ware. Concerning this system with a concise interface, plentiful data input/output interfaces, it is featured with high integration, simple and convenient operations of applications. According to practice, in addition to being well-adapted, this system is favorably reliable and stable.
文摘随着三级医院的功能需求和安全管理要求不断提高,传统的消防系统和监控系统已经无法满足要求。为了提升三级综合医院的整体安全管理水平,厦门大学附属第一医院采用建筑信息模型(Building Information Modeling,BIM)逆向建模,建立医院建筑数字化模型,搭建一体化管理平台,对消防系统与安防系统进行集成改造,实现综合安全管理系统三维可视化,各系统信息互联互通、实时联动、融合共享,医院的整体安全管理水平、智能化水平得以提升,以实时监控和预警为基础的安全管理模式得以建立。
文摘Vietnam has a 4000-year old traditional system of pharmaco-medicine which was founded during the Hung King era （2879-257 B.C.）. Vietnamese traditional medicine （TM） came from the society and was developed during the long years of living, working and struggling for existence among the Vietnamese people among 54 ethnic groups under extremely severe natural conditions, conflicts, and interaction with local neighboring nations such as China, Laos, Cambodia, india, etc. All of those form the foundations to shape the diversity, abundance and specialty of Vietnamese TM. Valuable experiences in TM have been transmitted from generation to generation, which is an important part of Vietnamese culture.
