Chowdhury, Touhidul Imran;Love, Richard Reed;Chowdhury, Mohammad Touhidul Imran;Artif, Abu Saeem;Ahsan, Hasib;Mamun, Anwarul;Khanam, Tahmina;Woods, James;Salim, Reza
Asian Pacific Journal of Cancer Prevention
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v.16
no.17
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pp.7853-7857
/
2015
Background: Mortality from breast cancer is high in low- and middle-income countries, in part because most patients have advanced stage disease when first diagnosed. Case-finding may be one approach to changing this situation. Materials and Methods: We conducted a pilot study to explore the feasibility of population-based case finding for breast cancer by community health workers (CHWs) using different data collection methods and approaches to management of women found to have breast abnormalities. After training 8 CHWs in breast problem recognition, manual paper data collection and operation of a cell-phone software platform for reporting demographic, history and physical finding information, these CHWs visited 3150 women >age 18 and over they could find-- from 2356 households in 8 villages in rural Bangladesh. By 4 random assignments of villages, data were collected manually (Group 1), or with the cell-phone program alone (Group 2) or with management algorithms (Groups 3 and 4), and women adjudged to have a serious breast problem were shown a motivational video (Group 3), or navigated/accompanied to a breast problem center for evaluation (Group 4). Results: Only three visited women refused evaluation. The manual data acquisition group (1) had missing data in 80% of cases, and took an average of 5 minutes longer to acquire, versus no missing data in the cell phone-reporting groups (2,3 and 4). One woman was identified with stage III breast cancer, and was appropriately treated. Conclusions: Among very poor rural Bangladeshi women, there was very limited reluctance to undergo breast evaluation. The estimated rarity of clinical breast cancer is supported by these population-based findings. The feasibility and efficient use of mobile technology in this setting is supported. Successor studies may most appropriately be trials focusing on improving the suggested benefits of motivation and navigation, on increasing the numbers of cases found, and on stage of disease at diagnosis as the primary endpoint.
This study analyzed imaging conditions and exposure index through clinical information collection and dose calculation programs in coronary angiography examinations. Through this, we aim to analyze the effective dose according to examination conditions and provide basic data for dose optimization. In this study, ALARA(As Low As Reasonably Achievable)-F(Fluoroscopy), a program for evaluating the radiation dose of patients and the collected clinical data, was used. First, analysis of imaging conditions and exposure index was performed based on the data of the dose report generated after coronary angiography. Second, after evaluating organ dose according to 9 imaging directions during coronary angiography, with the LAO fixed at 30°, dose evaluation was performed according to tube voltage, tube current, number of frames, focus-skin distance, and field size. Third, the effective dose for each organ was calculated according to the tissue weighting factors presented in ICRP(International Commission on Radiological Protection) recommendations. As a result, the average sum of air kerma during coronary angiography was evaluated as 234.0±112.1 mGy, the dose-area product was 25.9±13.0 Gy·cm2, and the total fluoroscopy time was 2.5±2.0 min. Also, the organ dose tended to increase as the tube voltage, milliampere-second, number of frames, and irradiation range increased, whereas the organ dose decreased as the FSD increased. Therefore, medical radiation exposure to patients can be reduced by selecting the optimal tube voltage and field size during coronary angiography, maximizing the focal-skin distance, using the lowest tube current possible, and reducing the number of frames.
Journal of the Korea Institute of Information and Communication Engineering
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v.21
no.2
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pp.259-264
/
2017
Birth weight of a new born baby provides very important information in evaluating many clinical issues such as fetal growth restriction. This paper analyzes birth weight data of babies born in Korea from 2011 to 2013, and it shows that there is a biologically implausible distribution of birth weights in the data. This implies that some errors may be generated in the data collection process. In particular, this paper analyzes the relationship between gestational period and birth weight, and it is shown that the birth weight data mostly of gestational periods from 28 to 32 weeks have noticeable errors. Therefore, this paper employs the finite Gaussian mixture model to classify the collected data points into two classes: non-corrupted and corrupted. After the classification the paper removes data points that have been predicted to be corrupted. This adjustment scheme provides more natural and medically plausible percentile values of birth weights for all the gestational periods.
Objectives : In this paper, We pointed out medico-historical meaning of Hyang'yak Kugŭppang (鄕藥救急方, Medical Recipes of Local Botanicals for Emergency Use), a medical book of Koryŏ Dynasty, breaking from the existing analysis view based on Hyang'yak (鄕藥), local herbs produced in Korean Peninsula. Methods : For that purpose, we analyzed the clinical characteristics of the diseases and symptoms, strategies of treatment, therapeutic tools, drug formulations, composition of herbal formulas in Hyang'yak Kugŭppang. Results : The following characteristics were confirmed in Hyang'yak Kugŭppang. First, it contained a way to cope with the diseases and symptoms that do not have to check the exterior, interior, cold, and heat. Also, it introduced basic strategies such as reducing, facilitating flow, draining downward, warming, or tonifying, etc. It mainly included herbal medicine as the therapeutic tools, and introduced formulas composed by single herb than complex recipes. It suggested external applications more than internal use, and proposed formulations in the form of decoctions or powders, etc. The herbs of formulas were used by experience without explanations of nature & taste, efficacy of each herbs. Conclusions : Hyang'yak Kugŭppang is a book of medical recipes for emergency use that has been distributed to help gentries, even if they do not have professional medical knowledge, to instantly cope with diseases and symptoms with medicines that are easy to obtain. Previous researches has analyzed the value of Hyang'yak Kugŭppang as a collection of information of hyang'yak, and used it as a historical basis of the uniqueness of Korean medicine. Since Hyang'yak Kugŭppang is not a book specialized for herbs, but rather a clinical medical book that introduces recipes for specific symptoms of diseases, if we pay attention to the clinical characteristics of Hyang'yak Kugŭppang, it will provide an opportunity to describe Koryŏ or Korean medicine in a new way.
Purpose: Cytogenetic analysis of spontaneous abortions (SABs) provides valuable information to establish the causes of fetal loss, information that is essential to provide accurate reproductive and genetic counseling couples. Such analysis also provides information on the frequencies and types of chromosomal abnormalities and associated risks of recurrence. However, there have only been a few reports of chromosomal abnormalities in small samples of SABs in the Korean population. Here, we report the incidence and spectrum of chromosomal abnormalities for cases of 470 SAB in Korea. Material and Methods: Between 2005 and 2010, a total of 470 products of conception (POC) resulting from SABs were submitted to our laboratory for cytogenetic analysis from various medical sites in Korea. The incidences and types of specific chromosomal abnormalities were determined. The abnormalities were distinguished by gestational age at the time of SAB and by maternal age. Results: The frequency of chromosomal abnormalities in POCs was 54.3% (255/470), including 228 (89.3%) numerical and 27 (10.7%: 3 balanced and 24 unbalanced) structural abnormalities. Among the numerical abnormalities, trisomy was predominant (67.0%), followed by monosomy X (12.5%), polyploidy (8.2%), triple X (0.8%), and autosomal monosomy (0.8%). The overall sex ratio (male: female) among the 470 POCs with normal and abnormal karyotypes were 0.58 and 0.65, respectively. Trisomies were identified for each autosome, with the exceptions of 1, 3, and 19. Among the 171 autosomal trisomies, trisomy 16 was the most common (19.9%), followed by trisomy 22 (13.5%), trisomy 21 (12.3 %), trisomy 15 (9.9%), and trisomies 18 and 13 (5.3%). The frequency of chromosomal abnormalities decreased with gestational age and increased with maternal age, but only because of increases in trisomies and complex abnormalities. Conclusions: We have presented a large collection of cytogenetic data for SABs collected during the past 6 years and provided a database for prenatal genetic counseling of parents who have experienced SABs in Korea.
Purpose: The purpose of this study was to assess psychometric properties of the Korean version of the Stroke Impact Scale 3.0 (K-SIS 3.0) in patients with stroke. Methods: Patients with stroke longer than 3 months were invited to participate in the study at specialized rehabilitation centers in Busan. Information on patients was collected using Mini-Mental State Examination (MMSE), Modified Bathel Index (MBI), Beck Depression Index (BDI), WHODAS 2.0-12 item, and K-SIS. Floor and ceiling effects of each domain of K-SIS were examined. The internal consistency of each domain of the K-SIS was calculated using Cronbach's ${\alpha}$. Correlation between K-SIS and each scale was assessed using Spearman's correlation coefficient. Results: Ninety subjects participated in the study. The K-SIS was found to have excellent internal consistency (Cronbach's ${\alpha}=0.93$). Each domain of the consistency ranged from 0.86 to 0.94, except the emotion (${\alpha}=0.51$). Significant correlations were observed between MMSE and domains of memory and thinking, and communication (r=0.48 and 0.52 respectively). BDI was negatively related to domains of emotion, ADL, mobility, and participation (r=-0.43, -0.49, -0.52 and -0.33 respectively). Specific daily activity (MBI) and general functioning (WHODAS 2.0) were also found to be closely related to the domains of ADL, mobility, and participation (ranging from r=-0.41 to r=-0.59). No ceiling and floor effect was observed. Conclusion: Excellent reliability and validity of K-SIS were obtained in the study and it could be suggested that K-SIS may be used for patients with stroke for collection of information on functioning in the clinical context.
Journal of the Korea Institute of Information and Communication Engineering
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v.10
no.7
/
pp.1319-1325
/
2006
Urine analysis is basic test in clinical medicine using visual examination by expert nurse. Recently, this test is measured by automatic urine analysis system. But, this system has different results by each instrument. So, a new classification algorithm is required for accurate classify and urine color collection. In this paper, a intelligent color classifier of urine analysis system was designed using neural network algorithm. The input parameters are three stimulus(RGB) after preprocessing using normalization. The fuzzy inference and neural network ware constructed for classify class according to 9 urine test items and $3{\sim}7$ classes. The experiment material to be used a standard sample of medicine. The possibility to adapt classifier designed for urine analysis system was verified as classifying measured standard samples and observing classified result. Of many test items, experimental results showed a satisfactory agreement with test results of reference system.
Electrocardiogram being the recording of the heart's electrical activity provides valuable clinical information about heart's status. Many re-searches have been pursued for heart disease diagnosis using ECG so far. However, electrocardio-graph uses foreign diagnosis algorithm due to inaccuracy of diagnosis results for a heart disease. This paper suggests ECG data collection, data preprocessing and heart disease pattern classification using data mining. This classification technique is the FB(Frequent pattern Bayesian) classifier and is a combination of two data mining problems, naive bayesian and frequent pattern mining. FB uses Product Approximation construction that uses the discovered frequent patterns. Therefore, this method overcomes weakness of naive bayesian which makes the assumption of class conditional independence.
This study is a narrative research study to understand the degree of awareness and practice of nursing college students' patients' health information protection and to grasp the relationship between them.. The subjects of this study were 122 nursing college students who experienced clinical practice in two nursing colleges in GwangJu city. Data collection was done from October 13 to 28, 2017. Using SPSS/WIN 21.0 Program, descriptive statistics, t-test, one-way ANOVA and Pearson correlation analysis were performed. As a result of the study, the degree of awareness and practicability of patient' health information protection were 4.44(SD=0.44) and 4.28(SD=0.62), respectively. There was a difference in the awareness of health information protection when they were educated about patients' health information protection at school (t=5.094, p<.001) and hospital (t=2.028, p=.045) in the case of having experience in patients' health information protection in hospitals(t=2.551, p=.012). There was a significant positive(+)correlation between patient's health information protection perception and practicing degree, and the degree of health information protection practitioner's communication domain (r=.420, p<.001). There was a significant positive correlation with the domain (r=.368, p<.001) and the referral domain (r=.304, p=.001). Based on these results, we sought to protect the personal information of patients and to provide necessary basic data to develop for standardized education program.
Kim, Sang-Su;Kim, Myong Soo;Lee, Seung Mo;Park, Chang-Eun
Korean Journal of Clinical Laboratory Science
/
v.48
no.2
/
pp.68-73
/
2016
Ammonia is very toxic, and causes neuronal damage via excitotoxicity, oxidative stress, and inflammation. Because the liver is the primary organ for ammonia metabolism, compromised liver function can result from inborn errors of metabolism. Measurement of blood ammonia has some limitations. Recently, several laboratories examined possible concurrent increases in plasma ammonia. However, the collection, handling, storage, and analysis of blood samples are all potential sources of error. For evaluation of rapidity and reliability of measurement of blood ammonia, the DRI-CHEM 100 (Fuji Film Co., Japan) and COBAS 8000 (Roche Diagnostic Ltd., Switzerland) analyzer were used for analysis of ammonia level values. The results of this study detected a high correlation between analyzer. Therefore, one-step measurement was suitable for ammonia analysis. After sampling of the ammonia in the time slot for measurement an increase to 46.5, 57.4, and 79.0 (${\mu}g/dL$) was observed at 30, 90, and 180 minutes. In addition, specific capacity of the ammonia, 7, 10, and 13 (${\mu}L$), was measured as 39, 46, and 43 (${\mu}g/dL$), respectively, and the FDC-100 analyzer was more effective in $10{\mu}L$ (p<0.001). In conclusion, the evaluated analysis may offer useful information for clinical application.
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