Digital evidences can be obtained from computers and various kinds of digital devices, such as telephones, mp3/mp4 players, printers, cameras, etc. Telephone Call Detail Records （CDRs） are one important source of di...Digital evidences can be obtained from computers and various kinds of digital devices, such as telephones, mp3/mp4 players, printers, cameras, etc. Telephone Call Detail Records （CDRs） are one important source of digital evidences that can identify suspects and their partners. Law enforcement authorities may intercept and record specific conversations with a court order and CDRs can be obtained from telephone service providers. However, the CDRs of a suspect for a period of time are often fairly large in volume. To obtain useful information and make appropriate decisions automatically from such large amount of CDRs become more and more difficult. Current analysis tools are designed to present only numerical results rather than help us make useful decisions. In this paper, an algorithm based on Fuzzy Decision Tree （FDT） for analyzing CDRs is proposed. We conducted experimental evaluation to verify the proposed algorithm and the result is very promising.展开更多
The aim of this study is to identify the development of patient rights in Turkey and to analyze patient complaints in the country. An attempt was made to determine how the issues discussed in patient rights committees...The aim of this study is to identify the development of patient rights in Turkey and to analyze patient complaints in the country. An attempt was made to determine how the issues discussed in patient rights committees are differentiated from the applications made to the patient rights units of the hospitals within the body of Ministry of Health in 2009, depending on variables such as branch, province, region, hospital type, title, gender, and subject of application, 18,634 applications were content analysed after they were classified in terms of subject, unit, title, branch, province, and region, and were transformed into numerical codes to prepare the data for analysis. The results show on a regional basis that Marmara is in the first place with 34.9% and East Anatolia is in the last place with 4.6%. The unit receiving the most complaints is outpatient services with 43.1%. Regarding position title, specialists ranked first with 37.9% and managers ranked next with 11.3%. When reviewing the subjects of the applications, they are ranked as follows： （1） lack of benefiting from the services （44%）; and （2） lack of receiving respect and comfort （26.8%）. Patient rights violations were detected in 12.7% but not in 51.6% of the applications made.展开更多
文摘Digital evidences can be obtained from computers and various kinds of digital devices, such as telephones, mp3/mp4 players, printers, cameras, etc. Telephone Call Detail Records （CDRs） are one important source of digital evidences that can identify suspects and their partners. Law enforcement authorities may intercept and record specific conversations with a court order and CDRs can be obtained from telephone service providers. However, the CDRs of a suspect for a period of time are often fairly large in volume. To obtain useful information and make appropriate decisions automatically from such large amount of CDRs become more and more difficult. Current analysis tools are designed to present only numerical results rather than help us make useful decisions. In this paper, an algorithm based on Fuzzy Decision Tree （FDT） for analyzing CDRs is proposed. We conducted experimental evaluation to verify the proposed algorithm and the result is very promising.
文摘The aim of this study is to identify the development of patient rights in Turkey and to analyze patient complaints in the country. An attempt was made to determine how the issues discussed in patient rights committees are differentiated from the applications made to the patient rights units of the hospitals within the body of Ministry of Health in 2009, depending on variables such as branch, province, region, hospital type, title, gender, and subject of application, 18,634 applications were content analysed after they were classified in terms of subject, unit, title, branch, province, and region, and were transformed into numerical codes to prepare the data for analysis. The results show on a regional basis that Marmara is in the first place with 34.9% and East Anatolia is in the last place with 4.6%. The unit receiving the most complaints is outpatient services with 43.1%. Regarding position title, specialists ranked first with 37.9% and managers ranked next with 11.3%. When reviewing the subjects of the applications, they are ranked as follows： （1） lack of benefiting from the services （44%）; and （2） lack of receiving respect and comfort （26.8%）. Patient rights violations were detected in 12.7% but not in 51.6% of the applications made.
