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Full-Text Articles in Medicine and Health Sciences

Bullous Eruption On The Posterior Thigh, James Studdiford, Amber Stonehouse Oct 2005

Bullous Eruption On The Posterior Thigh, James Studdiford, Amber Stonehouse

Department of Family & Community Medicine Faculty Papers

No abstract provided.


How Well Can Signs And Symptoms Predict Ami In The Malaysian Population?, Awang Bulgiba Jun 2005

How Well Can Signs And Symptoms Predict Ami In The Malaysian Population?, Awang Bulgiba

Awang Bulgiba Awang Mahmud

The aim of the study was to use data from an electronic medical record system (EMR) to look for factors that would help us diagnose acute myocardial infarction (AMT) with the ultimate aim of using these factors in a decision support system for chest pain. We extracted 887 records from the electronic medical record system (EMR) in Selayang Hospital, Malaysia. We cleaned the data, extracted 69 possible variables and performed univariate and multivariate analysis. From the univariate analysis we find that 22 variables are significantly associated with a diagnosis of AMT. However, multiple logistic regression reveals that only 9 of …


Variation In Periodontal Diagnosis And Treatment Planning Among Clinical Instructors, Sharon K. Lanning, Scott D. Pelok, Brent C. Willians, Philip S. Richards, David P. Sarment, Tae-Ju Oh, Laurie K. Mccauley Jan 2005

Variation In Periodontal Diagnosis And Treatment Planning Among Clinical Instructors, Sharon K. Lanning, Scott D. Pelok, Brent C. Willians, Philip S. Richards, David P. Sarment, Tae-Ju Oh, Laurie K. Mccauley

Periodontics Publications

Consistency in clinical decision making may be necessary for reliable assessment of student performance and teaching effectiveness, yet little has been done to examine variation in periodontal diagnosis and treatment planning among dental school faculty. The purpose of this investigation was to examine variation among faculty in diagnosis and management of common periodontal diseases. Twenty-seven clinical instructors (periodontists, general dentists, dental hygienists, and first- and second-year periodontal graduate students) reviewed three web-based cases and answered a brief questionnaire focusing on radiographic interpretation, periodontal diagnosis, and treatment planning. Response rates for the three cases ranged from 62 percent to 70 percent. …


Comparisons Of Clinical Findings And Serological Data In The Diagnosis Of Canine Leishmaniosis, Seray Özensoy Töz, Yusuf Özbel, Hati̇ce Ertabaklar, Nevzat Yildizli, Meti̇n Korkmaz, M. Zi̇ya Alkan Jan 2005

Comparisons Of Clinical Findings And Serological Data In The Diagnosis Of Canine Leishmaniosis, Seray Özensoy Töz, Yusuf Özbel, Hati̇ce Ertabaklar, Nevzat Yildizli, Meti̇n Korkmaz, M. Zi̇ya Alkan

Turkish Journal of Veterinary & Animal Sciences

This study aimed to evaluate clinical signs related with canine leishmaniosis (CanL) and to determine their relation with serological results in the differential diagnosis of this disease in dog populations. A total of 253 dogs from houses and a dog shelter in Kuşadası, an endemic region for leishmaniosis, were investigated for clinical signs related to CanL. Sera collected from the study group were examined by indirect fluorescence antibody (IFA), whole ELISA and rK39 ELISA tests for the serological diagnosis. Popliteal lymph node aspiration materials were examined for the parasitological diagnosis. Clinical signs were separated into two groups as cutaneous and …


Comparison Of Accuracy Captured By Different Controlled Languages In Oral Pathology Diagnoses, Jung-Wei Chen, Catherine Flaitz, Todd Johnson Jan 2005

Comparison Of Accuracy Captured By Different Controlled Languages In Oral Pathology Diagnoses, Jung-Wei Chen, Catherine Flaitz, Todd Johnson

Student and Faculty Publications

This project was comparing the accuracy of capturing the oral pathology diagnoses among different coding systems. 55 diagnoses were selected for comparison among 5 coding systems. The results of accuracy in capturing oral diagnoses are: AFIP (96.4%), followed by Read 99 (85.5%), SNOMED 98 (74.5%), ICD-9 (43.6%), and CDT-3 (14.5%). It shows that the currently used coding systems, ICD-9 and CDT-3, were inadequate, whereas the AFIP coding system captured the majority of oral diagnoses. In conclusion, the most commonly used medical and dental coding systems lack terms for the diagnosis of oral and dental conditions.