Most of the data mining projects generate information (summarized in the form of graphs and charts) for business executives and decision makers; however it leaves to the choice of decision makers either to use it or disregard it. The manual use of the extracted knowledge limits the effectiveness of data mining technology considerably. This chapter proposes an architecture, in which data mining module is utilized to provide continuous supply of knowledge to a rule based expert system. Proposed approach solves the knowledge acquisition problem of rule based systems and also enhances effective utilization of data mining techniques (i.e. by supplying extracted knowledge to rule based system for automated use). The chapter describes the details of a data mining driven rule based expert system applied in medical billing domain. Main modules of the system along with the final analysis of performance of the system have also been presented.
Tinea capitis of the scalp, an infection caused by dermatophytes, produces a significant health problem especially among school children. The object of this study was to highlight the prevalence of tinea capitis in southern Kuwait. During this retrospective study from 1998 to 2003, 1737 suspected cases were examined, 986 (58.6%) were men and 751 (43.2%) were women of which 371 cases were diagnosed as tinea capitis. Of 371 cases of tinea capitis, males comprised 54.2% and females 45.8%. Young children (up to age five) were more frequently infected than other age groups, grey type lesions were more common than other types. Microsporum canis was the most common organism noticed with 62.5% followed by Trichophyton violaceum with 19.3%, Trichophyton tonsurans with 13.1%, while Trichophyton rubrum was the least common. Tinea capitis of scalp is a significant health problem in southern Kuwait especially among young children of school age. The spread of infection can be prevented by health education, proper diagnosis and treatment.
This paper describes successful implementation of a Rule Based System at MTBC, for applying billing compliance rules on medical claims. Rule engine has been developed in Structured Query Language as stored procedures, which is one of the unique features of this rule based system. Implementing rule engine in SQL has provided two major benefits. Firstly, as operational data of the organization is in relational form, stored in Microsoft SQL Server database, therefore rule engine, using the native language, works at real time without any need of data transformation for working memory. Secondly due to SQL server, rule engine is using interpreted approach instead of compiled approach, which helps dynamic updating, editing and execution of rules. A rule is represented as a query stored in database, along with associated attributes like rule name, rule description and rule priority. 'where' clause of query contains condition and then part of the rule. A rule editor has been developed to facilitate domain users to edit rules in English like format, which is then translated to SQL statements. Editing of business logic has become very easy in MTBC billing software by using MTBC-RBS.
Background and Aim: Polyps of the gastrointestinal tract (GI) are apparent protrusions from the mucosal surface. The majority of polyps is asymptomatic and goes unnoticed; however in symptomatic situations, the most common clinical manifestations include abdominal discomfort, and rectal prolapse, intestinal blockage, and GI bleeding. The present study intended to assess the colorectal polyps characteristics based on clinical, pathological, and endoscopy in children and adolescents. Patients and Methods: This retrospective study was conducted on 78 children and adolescents (<18 years) with colorectal polyps in Gastroenterology Department of DHQ Teaching Hospital and Mufti Mahmood Memorial Hospital, Dera Ismail Khan from January 2020 to September 2022. Participants were assessed for various clinical variables such as age, gender, colonoscopy-related signs and symptoms, polyp identification, symptom’s onset age, duration between colonic polyp’s endoscopic diagnosis and symptoms onset, and intestinal polyps family history. Polyp’s characteristics involved: frequency, histology, morphological type, and distribution. SPSS version 26 was used for data analysis. Results: The overall mean age was 8.6±2.4 years with an age range 3 to 18 years. Of the total 78 colonic polyps, there were 48 (61.5%) male and 30 (38.5%) females. The most prevalent symptom was rectal bleeding present in 94.6% (n=74) cases with 13.8±16 months. Juvenile was the prevalent polyps found in 76.9% (n=60), out of which 96.7% (n=58) were in left colon. The prevalence of Solitary polyps, multiple polyps, familial adenomatous polyposis, and Peutz-Jeghers syndrome (PJS) was 10.3% (n=8), 6.4% (n=5), 3.8% (n=3), and 2.6% (n=2) respectively. Polyposis syndrome cases were more likely to have old age, diarrhea, anemia, and abdominal pain. Peutz-Jeghers syndrome majority patients experienced intestinal partial blockage with acute episodes, abdominal pain, and emergency laparotomy, resulting in increased morbidity. Conclusion: The present study found that clinical signs of polyposis syndrome include anemia, diarrhea, abdominal pain, polypectomy history, and older age at presentation. Despite the fact that the most commonly diagnosed kind of polyp was juvenile colonic polyps, the current investigation recognized a substantial number of polyposis syndromes children, which are related with individual’s higher rate of morbidity. Keywords: Colonic polyps, Clinical features, Endoscopic characteristics, Colonoscopy
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