scholarly journals Adaptive Study Design Through Semantic Association Rule Analysis

2011 ◽  
Vol 3 (2) ◽  
pp. 34-48 ◽  
Author(s):  
Ping Chen ◽  
Wei Ding ◽  
Walter Garcia
Keyword(s):  
Study Design ◽  
Association Rule ◽  
Semantic Network ◽  
Association Mining ◽  
Medical Studies ◽  
Analysis Model ◽  
Semantic Association ◽  
Rule Analysis ◽  
Adaptive Study Design

Association mining aims to find valid correlations among data attributes, and has been widely applied to many areas of data analysis. This paper presents a semantic network-based association analysis model including three spreading activation methods. It applies this model to assess the quality of a dataset, and generate semantically valid new hypotheses for adaptive study design especially useful in medical studies. The approach is evaluated on a real public health dataset, the Heartfelt study, and the experiment shows promising results.

scholarly journals Adaptive Study Design Through Semantic Association Rule Analysis

2013 ◽  
pp. 132-144
Author(s):  
Ping Chen ◽  
Wei Ding ◽  
Walter Garcia
Keyword(s):  
Public Health ◽  
Data Analysis ◽  
Study Design ◽  
Semantic Network ◽  
Association Mining ◽  
Spreading Activation ◽  
Analysis Model ◽  
Rule Analysis ◽  
Adaptive Study Design

Association mining aims to find valid correlations among data attributes, and has been widely applied to many areas of data analysis. This paper presents a semantic network-based association analysis model including three spreading activation methods. It applies this model to assess the quality of a dataset, and generate semantically valid new hypotheses for adaptive study design especially useful in medical studies. The approach is evaluated on a real public health dataset, the Heartfelt study, and the experiment shows promising results.

Implementasi Manajemen Mutu Terpadu Dalam Memberikan Layanan Untuk Meningkatkan Prestasi Peserta Didik di SLB YPAC Pangkalpinang

2019 ◽  
Vol 2 (2) ◽  
pp. 265-278
Author(s):  
Diah Rina Miftakhi ◽  
Nurjanah Nurjanah
Keyword(s):  
Quality Management ◽  
Data Collection ◽  
Human Resources ◽  
Learning Process ◽  
School Environment ◽  
Quality Of Services ◽  
Teaching Staff ◽  
Learning Material ◽  
Analysis Model

describe the implementation of an integrated quality management component consisting of the quality of services provided by the school, human resources in teaching, the school environment, and learning process  in SLB YPAC Pangkalpinang.               The method used in this study, namely by using a naturalistic qualitative approach. Data collection is done through observation, interviews, and documentation. The subjects of this study include the principal, teachers, employees, and students. The validity of the data is done by triangulation, and deeper observation. Analysis of the data used is the interactive analysis model of Miles and Huberman through data collection, data reduction, data presentation, and conclusion drawing.              The results showed that: (a) the quality of services to students in SLB YPAC Pangkalpinang had met good service standards. This can be seen from the services in the form of facilities and infrastructure which are quite complete in schools; (b) the quality of human resources in the education process shows good teacher resources. This can be seen from the teacher data which shows that the teaching staff at SLB YPAC Pangkalpinang 95% of educators with S1 qualifications in the field of education; (c) the quality of the environment in SLB YPAC Pangkalpinang is already good. This can be seen from the very strategic location of the school because the location of the school is in the middle of the city so that it is easily accessible by the community; (d) the quality of the learning process carried out by teachers at Pangkal Pinang YPAC SLB is good. This can be seen from the realization of the form of activities through learning planning by preparing lesson plans for each subject, then implementing learning, which includes strategies and methods used by teachers in delivering learning material, and evaluation of learning. Keywords: Integrated quality management, student achievement     ABSTRAK Tujuan dalam melaksanakan penelitian ini  adalah untuk melihat pelaksanaan serta mendeskripsikan implementasi  komponen Manajemen Mutu Terpadu yang terdiri dari kualitas layanan yang diberikan sekolah, sumber daya manusia dalam mengajar, lingkungan sekolah, dan proses pembelajaran di SLB YPAC Pangkalpinang. Metode yang digunakan dalam penelitian ini, yaitu dengan menggunakan pendekatan kualitatif naturalistik. Pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi. Subyek penelitian ini antara lain kepala sekolah, guru, pegawai, dan peserta didik. keabsahan data dilakukan dengan triangulasi, dan pengamatan yang lebih mendalam. Analisis data yang digunakan adalah model analisis interaktif Miles dan Huberman melalui kegiatan pengumpulan data, reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa: (a) mutu layanan terhadap peserta didik di SLB YPAC Pangkalpinang sudah memenuhi standar layanan yang baik. Hal ini dilihat dari layanan yang berupa fasilitas sarana dan prasarana yang sudah cukup lengkap di sekolah; (b) mutu sumber daya manusia dalam proses pendidikan menunjukkan sumber daya guru yang baik. Hal ini dapat dilihat dari data guru yang menunjukkan bahwa tenaga pengajar di SLB YPAC Pangkalpinang 95% pendidik berkualifikasi S1 bidang kependidikan; (c) mutu lingkungan yang ada di SLB YPAC Pangkalpinang sudah baik. Hal ini terlihat dari letak sekolah yang sangat strategis karena lokasi sekolah yang berada di tengah kota sehingga mudah dijangkau oleh masyarakat; (d) mutu proses pembelajaran yang dilakukan oleh guru di SLB YPAC Pangkalpinang sudah baik. Hal ini dapat dilihat dari realisasi bentuk kegiatan melalui perencanaan pembelajaran dengan menyusun RPP setiap mata pelajaran, kemudian pelaksanaan pembelajaran, yang meliputi strategi dan metode yang digunakan guru dalam menyampaikan materi pembelajaran, dan evaluasi pembelajaran.

scholarly journals Caries and Restoration Detection Using Bitewing Film Based on Transfer Learning with CNNs

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4613
Author(s):  
Yi-Cheng Mao ◽  
Tsung-Yi Chen ◽  
He-Sheng Chou ◽  
Szu-Yin Lin ◽  
Sheng-Yu Liu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Rapid Development ◽  
Radiographic Examination ◽  
Analysis Model ◽  
Common Procedure ◽  
Medical Treatments ◽  
Pass Filter ◽  
Single Tooth ◽  
Imaging Research

Caries is a dental disease caused by bacterial infection. If the cause of the caries is detected early, the treatment will be relatively easy, which in turn prevents caries from spreading. The current common procedure of dentists is to first perform radiographic examination on the patient and mark the lesions manually. However, the work of judging lesions and markings requires professional experience and is very time-consuming and repetitive. Taking advantage of the rapid development of artificial intelligence imaging research and technical methods will help dentists make accurate markings and improve medical treatments. It can also shorten the judgment time of professionals. In addition to the use of Gaussian high-pass filter and Otsu’s threshold image enhancement technology, this research solves the problem that the original cutting technology cannot extract certain single teeth, and it proposes a caries and lesions area analysis model based on convolutional neural networks (CNN), which can identify caries and restorations from the bitewing images. Moreover, it provides dentists with more accurate objective judgment data to achieve the purpose of automatic diagnosis and treatment planning as a technology for assisting precision medicine. A standardized database established following a defined set of steps is also proposed in this study. There are three main steps to generate the image of a single tooth from a bitewing image, which can increase the accuracy of the analysis model. The steps include (1) preprocessing of the dental image to obtain a high-quality binarization, (2) a dental image cropping procedure to obtain individually separated tooth samples, and (3) a dental image masking step which masks the fine broken teeth from the sample and enhances the quality of the training. Among the current four common neural networks, namely, AlexNet, GoogleNet, Vgg19, and ResNet50, experimental results show that the proposed AlexNet model in this study for restoration and caries judgments has an accuracy as high as 95.56% and 90.30%, respectively. These are promising results that lead to the possibility of developing an automatic judgment method of bitewing film.

scholarly journals Security and privacy concerned association rule mining technique for the accurate frequent pattern identification

2017 ◽  
Vol 7 (1.1) ◽  
pp. 19
Author(s):  
T. Nusrat Jabeen ◽  
M. Chidambaram ◽  
G. Suseendran
Keyword(s):  
Association Rule ◽  
Association Rule Mining ◽  
Frequent Pattern ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Simulation Environment ◽  
Rule Mining ◽  
Mining Technique ◽  
Diffie Hellman

Security and privacy has emerged to be a serious concern in which the business professional don’t desire to share their classified transaction data. In the earlier work, secured sharing of transaction databases are carried out. The performance of those methods is enhanced further by bringing in Security and Privacy aware Large Database Association Rule Mining (SPLD-ARM) framework. Now the Improved Secured Association Rule Mining (ISARM) is introduced for the horizontal and vertical segmentation of huge database. Then k-Anonymization methods referred to as suppression and generalization based Anonymization method is employed for privacy guarantee. At last, Diffie-Hellman encryption algorithm is presented in order to safeguard the sensitive information and for the storage service provider to work on encrypted information. The Diffie-Hellman algorithm is utilized for increasing the quality of the system on the overall by the generation of the secured keys and thus the actual data is protected more efficiently. Realization of the newly introduced technique is conducted in the java simulation environment that reveals that the newly introduced technique accomplishes privacy in addition to security.

Quality of life in adolescents and young adults with CHD is not reduced: a systematic review and meta-analysis

2015 ◽  
Vol 26 (3) ◽  
pp. 415-425 ◽  
Author(s):  
Morten Schrøder ◽  
Kirsten A. Boisen ◽  
Jesper Reimers ◽  
Grete Teilmann ◽  
Jesper Brok
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Young Adults ◽  
Meta Analysis ◽  
Adolescents And Young Adults ◽  
Analysis Model ◽  
Significant Difference ◽  
Newcastle Ottawa Scale ◽  
First Time

AbstractPurposeWe performed a systematic review and meta-analysis of observational studies assessing quality of life in adolescents and young adults born with CHD compared with age-matched controls.MethodsWe carried out a systematic search of the literature published in Medline, Embase, PsychINFO, and the Cochrane Library’s Database (1990–2013); two authors independently extracted data from the included studies. We used the Newcastle–Ottawa scale for quality assessment of studies. A random effects meta-analysis model was used. Heterogeneity was assessed using the I2-test.ResultsWe included 18 studies with 1786 patients. The studies were of acceptable-to-good quality. The meta-analysis of six studies on quality of life showed no significant difference – mean difference: −1.31; 95% confidence intervals: −6.51 to +3.89, I2=90.9% – between adolescents and young adults with CHD and controls. Similar results were found in 10 studies not eligible for the meta-analysis. In subdomains, it seems that patients had reduced physical quality of life; however, social functioning was comparable or better compared with controls.ConclusionFor the first time in a meta-analysis, we have shown that quality of life in adolescents and young adults with CHD is not reduced when compared with age-matched controls.

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