No abstract available.
APACHE* ; Emergencies* ; Intraabdominal Infections*

PABAP (Palindrome Analysis by BLAST Program) is an analysis system that identifies palindromic sequences from a large genome sequence up to several megabases long. It uses NCBI BLAST as a searching engine, and data processing such as alignment filtration and detection of inverted repeats which satisfy user- defined parameters is performed by manipulating data after populating into a MySQL database. PABAP outperforms publicly available palindrome search program in that it can detect large palindrome with internal spacer at a faster speed from bacterial genomes. It is a standalone application and is freely available for noncommercial users. AVAILABILITY: This application was implemented with free software (Perl, Apache, MySQL, and NCBI BLAST) and is freely available to noncommercial users upon request. Analysis of user data can be carried out directly at http://chimp.kribb.re.kr/~javamint/palindrome.
APACHE ; Filtration ; Genome* ; Genome, Bacterial

Over Past years people have known rich medical information and knowledge through mass-media. It is needed to develop medical database, which makes people get proper medical information, So we made an effort to analysis health and medical consultation data. People easily access internet hospital of Gachon Medial School Gil Medical Center, coorperated with MIDAS Dongailbo. 4020 cases of "Questions and Answers "were conducted to access from March 25th, 1997 to March 25th, 1998. Using Java Servlet, Sybase, and Apache Web Server, we classified data. Those data present over 4000 databases, such as text (3644 cases), image (212 cases), moving picture (21 cases), and medical dictionary (416 dases). People can search symptome, or disease, what they want to know. Our database as a medical service is enhance people know about medical knowledge and information, so that they can take care of their health and prevent illness in advance.
APACHE ; Dictionaries, Medical ; Humans ; Indonesia ; Internet* ; Multimedia*

Studies based on food analysis or food databases use the national standard food database. Although Internet information services are increasing gradually, users are only able to get definitive and profitable information using standard food terms. Until now, it has been uncommon to find food retrieval services that include users' regional or historical characteristics. Thus, this study introduces a prototype for Food and Dish Synonym Retrieval (NutriSyn) that includes synonyms and related words. The environments which NutriSyn was implemented were Linux for the server operating system, the Microsoft Windows series for the users' operating system and Apache for a web server. The development languages used are PHP, JavaScript and HTLM with a MySQL database. Users can access NutriSyn using Internet browsers. The main menu items are (1) Food Synonym DB, (2) Dish Synonym DB, (3) Food Information DB, (4) Dish Information DB, and (5) Food and Menu Synonym Retrieval. This system is expected to be a useful tool for food experts and inter- disciplinary research.
APACHE ; Food Analysis ; Information Services ; Internet

No abstract available.
APACHE* ; Intensive Care Units* ; Critical Care*

The purpose of this study was to verify the validity of the Patient Severity Classification Tool by examining the correlations between the APACHE III and the Patient Severity Classification Tool and to propose admission criteria to the ICU. The instruments used for this study were the APACHE III developed by Knaus and thePatient Severity Classification Tool developed by Korean Clinical Nurses Association. Data was collected from the 156 Medical ICU patients during their first 24 hours of admission at the Seoul National University Hospital by three trained Medical ICU nurses from April 20 to August 31 1999. Data were analyzed using the frequency, X2, Wilcoxon rank sum test, and Spearman rho. There was statistically significant correlations between the scores of the APACHE III and the Patient Severity Classification Tool. Mortality rate was increased as patients classification of severity in both the APACHE III and the Patient Severity Classification Tool scored higher. The Patient Severity Classification Tool was proved to be a valid and reliable tool, and a useful tool as one of the severity predicting factors, ICU admission criteria, information sharing between ICUs, quality evaluations of ICUs, and ICU nurse staffing. 1) This paper was awarded the first prize at the Seoul National Hospital Nursing Department Research Contest.
APACHE* ; Awards and Prizes ; Classification* ; Humans ; Information Dissemination ; Mortality ; Nursing ; Seoul

PURPOSE: To develop new on-line statistical program for the Korean Society for Radiation Oncology (KOSRO) to collect and extract medical data in radiation oncology more efficiently. MATERIALS AND METHODS: The statistical program is a web-based program. The directory was placed in a sub-folder of the homepage of KOSRO and its web address is http://www.kosro.or.kr/asda. The operating systems server is Linux and the webserver is the Apache HTTP server. For database (DB) server, MySQL is adopted and dedicated scripting language is the PHP. Each ID and password are controlled independently and all screen pages for data input or analysis are made to be friendly to users. Scroll-down menu is actively used for the convenience of user and the consistence of data analysis. RESULTS: Year of data is one of top categories and main topics include human resource, equipment, clinical statistics, specialized treatment and research achievement. Each topic or category has several subcategorized topics. Real-time on-line report of analysis is produced immediately after entering each data and the administrator is able to monitor status of data input of each hospital. Backup of data as spread sheets can be accessed by the administrator and be used for academic works by any members of the KOSRO. CONCLUSION: The new on-line statistical program was developed to collect data from nationwide departments of radiation oncology. Intuitive screen and consistent input structure are expected to promote entering data of member hospitals and annual statistics should be a cornerstone of advance in radiation oncology.
Administrative Personnel ; APACHE ; Humans ; Radiation Oncology* ; Statistics as Topic

PURPOSE: To develop new on-line statistical program for the Korean Society for Radiation Oncology (KOSRO) to collect and extract medical data in radiation oncology more efficiently. MATERIALS AND METHODS: The statistical program is a web-based program. The directory was placed in a sub-folder of the homepage of KOSRO and its web address is http://www.kosro.or.kr/asda. The operating systems server is Linux and the webserver is the Apache HTTP server. For database (DB) server, MySQL is adopted and dedicated scripting language is the PHP. Each ID and password are controlled independently and all screen pages for data input or analysis are made to be friendly to users. Scroll-down menu is actively used for the convenience of user and the consistence of data analysis. RESULTS: Year of data is one of top categories and main topics include human resource, equipment, clinical statistics, specialized treatment and research achievement. Each topic or category has several subcategorized topics. Real-time on-line report of analysis is produced immediately after entering each data and the administrator is able to monitor status of data input of each hospital. Backup of data as spread sheets can be accessed by the administrator and be used for academic works by any members of the KOSRO. CONCLUSION: The new on-line statistical program was developed to collect data from nationwide departments of radiation oncology. Intuitive screen and consistent input structure are expected to promote entering data of member hospitals and annual statistics should be a cornerstone of advance in radiation oncology.
Administrative Personnel ; APACHE ; Humans ; Radiation Oncology* ; Statistics as Topic

BACKGROUND: Advanced age alone should not be a serious deterrent to surgery. Preoperative evaluation of concomitant illness, operation time, accurate and minimal, but adequate surgery will serve to minimize morbidity and mortality in elderly patients. METHODS: The total number of surgical patients admitted to Kwang Hye Hospital, Pusan, from March 1994 to August 1996 was 3211, and the number of surgical geriatric patients admitted during the same period was 214. Operations were performed on 139 patients. We recorded information about age, sex, anesthesia type, operation time, non malignancy vs malignancy, emergency vs elective "Surgery", coexisting disease, and APACHE II score, and we examined the patients for results affecting postoperative morbidity and mortality. RESULTS: Postoperative complications occured in 55 cases (39.6%), and the operative mortality was 2.2%. The significant factors affecting postoperative morbidity were emergency operation, malignancy and APACHE II score. The operation time and coexisting diseases were not significant. Age had little effect on the postoperative prognosis CONCLUSIONS: Performance of elective surgery and preoperative evaluation of the APACHE II score are important factors.
Aged ; Anesthesia ; APACHE ; Busan ; Emergencies ; Humans ; Mortality ; Postoperative Complications ; Prognosis

To deterrnine the applicability of the Acute Physiology and Chronic Health Evaluation (APACHE II) scoring system in ICU, 552 ICU patients who had been admitted from March 1, 1992 to February 28, 1993 were analysed. The mean APACHE II score of nonsurvivors was significantly higher than that of survivors (p<0.01) and there was significant relationship between mortality rate and APACHE II score [Mortality rate(%) =2.994XAPACHE II score-14.987 (r=0.97, p<0.001)). However, the majority of postoperative patients had scores less than 20 points and the postoperative patients were more unevenly distributed. These results suggest that the APACHE II score may be useful for analyses of ICU patients but its application in postoperative patients must take into consideration the patient's clinical condition.
APACHE* ; Humans ; Intensive Care Units* ; Critical Care* ; Mortality ; Survivors