This paper first puts forward a case based system framework based on data mining techniques. Then the paper examines the possibility of using neural networks as a method of retrieval in such a case based system. In ...This paper first puts forward a case based system framework based on data mining techniques. Then the paper examines the possibility of using neural networks as a method of retrieval in such a case based system. In this system we propose data mining algorithms to discover case knowledge and other algorithms.展开更多
Search-based software engineering has mainly dealt with automated test data generation by metaheuristic search techniques. Similarly, we try to generate the test data (i.e., problem instances) which show the worst cas...Search-based software engineering has mainly dealt with automated test data generation by metaheuristic search techniques. Similarly, we try to generate the test data (i.e., problem instances) which show the worst case of algorithms by such a technique. In this paper, in terms of non-functional testing, we re-define the worst case of some algorithms, respectively. By using genetic algorithms (GAs), we illustrate the strategies corresponding to each type of instances. We here adopt three problems for examples;the sorting problem, the 0/1 knapsack problem (0/1KP), and the travelling salesperson problem (TSP). In some algorithms solving these problems, we could find the worst-case instances successfully;the successfulness of the result is based on a statistical approach and comparison to the results by using the random testing. Our tried examples introduce informative guidelines to the use of genetic algorithms in generating the worst-case instance, which is defined in the aspect of algorithm performance.展开更多
目的针对当前甲状腺结节检出率上升以及超声医生应用甲状腺影像报告和数据系统(Thyroid Imaging Reporting and Data System,TI-RADS)不规范的问题,探索通过案例教学法(Case-based Learning,CBL)与PDCA循环相结合的培训模式提升超声医生...目的针对当前甲状腺结节检出率上升以及超声医生应用甲状腺影像报告和数据系统(Thyroid Imaging Reporting and Data System,TI-RADS)不规范的问题,探索通过案例教学法(Case-based Learning,CBL)与PDCA循环相结合的培训模式提升超声医生对TI-RADS的掌握程度。方法于2023年9月—2023年11月在陕西省人民医院超声科开展培训,内容涵盖TI-RADS理论学习、分层病例阅片、病理知识讲解及临床实践反馈,比较培训前后理论测试、阅片准确率及临床应用变化。结果共有50名超声医生完成培训,对甲状腺结节良恶性判断的准确率得到提升(57.6%vs.63.3%,P=0.003),TI-RADS 4a类分类准确率由38.0%提高至58.0%(P<0.001),而超声报告4类及4a类的占比明显下降,以及超声造影(60.0%vs.82.0%,P<0.001)和细针穿刺活检(80.0%vs.90.0%,P<0.001)结果中恶性占比显著提高。结论CBL与PDCA循环相结合的培训模式可有效提升超声医生对TI-RADS的掌握能力。展开更多
基金Supported by the National Science of China(6 0 0 75 0 15 ) and Key Project of Scientific and Technological Departmentin Anhui
文摘This paper first puts forward a case based system framework based on data mining techniques. Then the paper examines the possibility of using neural networks as a method of retrieval in such a case based system. In this system we propose data mining algorithms to discover case knowledge and other algorithms.
文摘Search-based software engineering has mainly dealt with automated test data generation by metaheuristic search techniques. Similarly, we try to generate the test data (i.e., problem instances) which show the worst case of algorithms by such a technique. In this paper, in terms of non-functional testing, we re-define the worst case of some algorithms, respectively. By using genetic algorithms (GAs), we illustrate the strategies corresponding to each type of instances. We here adopt three problems for examples;the sorting problem, the 0/1 knapsack problem (0/1KP), and the travelling salesperson problem (TSP). In some algorithms solving these problems, we could find the worst-case instances successfully;the successfulness of the result is based on a statistical approach and comparison to the results by using the random testing. Our tried examples introduce informative guidelines to the use of genetic algorithms in generating the worst-case instance, which is defined in the aspect of algorithm performance.
文摘目的针对当前甲状腺结节检出率上升以及超声医生应用甲状腺影像报告和数据系统(Thyroid Imaging Reporting and Data System,TI-RADS)不规范的问题,探索通过案例教学法(Case-based Learning,CBL)与PDCA循环相结合的培训模式提升超声医生对TI-RADS的掌握程度。方法于2023年9月—2023年11月在陕西省人民医院超声科开展培训,内容涵盖TI-RADS理论学习、分层病例阅片、病理知识讲解及临床实践反馈,比较培训前后理论测试、阅片准确率及临床应用变化。结果共有50名超声医生完成培训,对甲状腺结节良恶性判断的准确率得到提升(57.6%vs.63.3%,P=0.003),TI-RADS 4a类分类准确率由38.0%提高至58.0%(P<0.001),而超声报告4类及4a类的占比明显下降,以及超声造影(60.0%vs.82.0%,P<0.001)和细针穿刺活检(80.0%vs.90.0%,P<0.001)结果中恶性占比显著提高。结论CBL与PDCA循环相结合的培训模式可有效提升超声医生对TI-RADS的掌握能力。
