scholarly journals Graphical User Interface (GUI) of Digital Index Evaluation System for Finger Clubbing Identification

2017 ◽  
Vol 14 (2) ◽  
pp. 99 ◽  
Author(s):  
Sharifah Masniah Wan Masra ◽  
K. L. Goh ◽  
Mohd Saufee Muhammad ◽  
Rahardjo Darmanto Djojodibroto ◽  
Rohana Sapawi ◽  
...  
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Evaluation System ◽  
Early Stage ◽  
Index Evaluation ◽  
Busy Clinic ◽  
Index Evaluation System ◽  
Clinic Practice ◽  
User Friendly ◽  
Short Time

This paper presents the development of a Graphical User Interface (GUI) for calculating the sum of nail-fold (NF) and distal interphalangeal joint (DIP) ratios for all ten fingers. The sum of NF:DIP ratios for all ten fingers leads to the Digital Index (DI) that was used as the measure for identifying and determining the presence of finger clubbing symptom. This GUI system was developed to serve as a simple and user-friendly interface for clinicians to calculate DI value of patients in a busy clinic practice. It is also equipped with the capability to keep the patient’s past diagnosis medical check-up data for future monitoring purposes. The result shows that the developed system helps the clinicians to perform calculation of DI value and identify the presence of finger clubbing in a very short time. The average time taken to measure both NF and DIP circumferences using Finger Clubbing Meter, and to compute DI values using Digital Index Evaluation System (DIES) interface is 6:36 ± 1:24 minutes (Mean ± SD) .This system is expected to contribute in detecting the finger clubbing problem at early stage of so the treatment can be performed immediately.

scholarly journals Graphical User Interface (GUI) of Digital Index Evaluation System for Finger Clubbing Identification

2017 ◽  
Vol 14 (2) ◽  
pp. 99 ◽  
Author(s):  
S. M. W. Masra ◽  
K. L. Goh ◽  
M. S. Muhammad ◽  
R. D. Djojodibroto ◽  
R. Sapawi ◽  
...  
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Evaluation System ◽  
Early Stage ◽  
Index Evaluation ◽  
Busy Clinic ◽  
Index Evaluation System ◽  
Clinic Practice ◽  
User Friendly ◽  
Short Time

This paper presents the development of a Graphical User Interface (GUI) for calculating the sum of nail-fold (NF) and distal interphalangeal joint (DIP) ratios for all ten fingers. The sum of NF:DIP ratios for all ten fingers leads to the Digital Index (DI) that was used as the measure for identifying and determining the presence of finger clubbing symptom. This GUI system was developed to serve as a simple and user-friendly interface for clinicians to calculate DI value of patients in a busy clinic practice. It is also equipped with the capability to keep the patient’s past diagnosis medical check-up data for future monitoring purposes. The result shows that the developed system helps the clinicians to perform calculation of DI value and identify the presence of finger clubbing in a very short time. The average time taken to measure both NF and DIP circumferences using Finger Clubbing Meter, and to compute DI values using Digital Index Evaluation System (DIES) interface is 6:36 ± 1:24 minutes (Mean ± SD) .This system is expected to contribute in detecting the finger clubbing problem at early stage of so the treatment can be performed immediately.

scholarly journals Development of Portable Finger Clubbing Meter

2016 ◽  
Vol 833 ◽  
pp. 190-195
Author(s):  
S.M.W. Masra ◽  
K.L. Goh ◽  
Joys Sheena Henry ◽  
Mohd Saufee Muhammad ◽  
R.D. Djojodibroto ◽  
...  
Keyword(s):  
Data Analysis ◽  
Graphical User Interface ◽  
Early Stage ◽  
Visual Basic ◽  
Interphalangeal Joint ◽  
Distal Interphalangeal Joint ◽  
Busy Clinic ◽  
Distal Interphalangeal ◽  
Clinic Practice

Finger clubbing, also known as drumstick finger, is the medical symptom that is indicated by the development of the sponginess or swelling in the nail beds of nails and toes. The higher grade of clubbing on the patients can be easily identified with the presence of drumstick finger. The existing available measurement device to identify the early stage of clubbing required much time which is impractical for a busy clinic practice. This paper explains the determination of the finger clubbing by using the Digital Index (DI) measurement, which was deployed by implementing and developing the Portable Finger Clubbing Meter hardware and the Microsoft Visual Basic (VB) Graphical User Interface (GUI). Finger circumference values of nail-fold (NF) and distal interphalangeal joint (DIP) of twenty participants were measured using the developed hardware. Data analysis was then performed using the GUI for DI computation, and the presence of finger clubbing could be determined.

scholarly journals CNN-based Diagnosis System on Skin Cancer using Ensemble Method Weighted by Cubic Precision

2021 ◽  
Author(s):  
Pengcheng Jiang
Keyword(s):  
User Interface ◽  
Skin Cancer ◽  
Language Processing ◽  
Classification Accuracy ◽  
Model Updating ◽  
Early Stage ◽  
Model Performance ◽  
Diagnosis System ◽  
Cancer Symptoms ◽  
User Friendly

<i>Abstract</i>— One of the most prevalent diseases, skin cancer, has been proven to be treatable at an early stage. Thus, techniques that allow individuals to identify skin cancer symptoms early are in great demand. This paper proposed an interactive skin lesion diagnosis system based on the ensemble of multiple sophisticated CNN models for image classification. The performance of ResNet50, ResNeXt50, ResNeXt101, EfficientNetB4, Mobile-NetV2, MobileNetV3, and MnasNet are investigated separately as ensemble components. Then, using various criteria, we constructed ensembles and compared the accuracy they achieved. Moreover, we designed a method to update the ensemble for new data and examined its performance. In addition, a few natural language processing (NLP) techniques were used to make our system more user-friendly. To integrate all the functionalities, we built a user interface with PyQt5. As a result, MobileNetV3 achieved 91.02% as the best accuracy among all single models; ensemble weighted by cubic precision achieved 92.84% accuracy as the highest one in this study; a notable improvement in accuracy demonstrated the effectiveness of the model updating approach, and a system with all of the desired features was successfully developed. These findings benefit in two aspects. For model performance, applying cubic precisions can increase ensemble learning classification accuracy. For the developed diagnosis system, it can aid in the

GEView (Gene Expression View) Tool for Intuitive and High Accessible Visualization of Expression Data for Non-Programmer Biologists

2020 ◽  
pp. 580-592
Author(s):  
Libi Hertzberg ◽  
Assif Yitzhaky ◽  
Metsada Pasmanik-Chor
Keyword(s):  
Gene Expression ◽  
Quality Control ◽  
User Interface ◽  
High Throughput ◽  
Graphical User Interface ◽  
Differential Expression Analysis ◽  
Biological Data ◽  
Expression Data ◽  
Batch Correction ◽  
User Friendly

This article describes how the last decade has been characterized by the production of huge amounts of different types of biological data. Following that, a flood of bioinformatics tools have been published. However, many of these tools are commercial, or require computational skills. In addition, not all tools provide intuitive and highly accessible visualization of the results. The authors have developed GEView (Gene Expression View), which is a free, user-friendly tool harboring several existing algorithms and statistical methods for the analysis of high-throughput gene, microRNA or protein expression data. It can be used to perform basic analysis such as quality control, outlier detection, batch correction and differential expression analysis, through a single intuitive graphical user interface. GEView is unique in its simplicity and highly accessible visualization it provides. Together with its basic and intuitive functionality it allows Bio-Medical scientists with no computational skills to independently analyze and visualize high-throughput data produced in their own labs.

Shoreline Bioremediation Model (SBM) - A Graphical User Interface for Simulating the Biodegradation of Beached Oil

2014 ◽  
Vol 2014 (1) ◽  
pp. 1099-1112
Author(s):  
Jagadish Torlapati ◽  
Xiaolong Geng ◽  
Tom King ◽  
Michel Boufadel ◽  
Kenneth Lee
Keyword(s):  
Decision Making ◽  
User Interface ◽  
Numerical Model ◽  
Graphical User Interface ◽  
Biodegradation Rate ◽  
Worst Case ◽  
Oil Concentration ◽  
Oil Components ◽  
User Friendly ◽  
Friendly Graphical User Interface

ABSTRACT We developed a user-friendly numerical model, Shoreline Bioremediation Model (SBM), to simulate the biodegradation and bioremediation of oil entrapped within shorelines. The model takes oil properties and environmental conditions as input and produces variation of oil concentration with time, up to several years from the time of the spill. SBM is equipped with a user-friendly graphical user interface (GUI). The accessibility and easy-to-use interface allow the user to quickly produce several biodegradation and bioremediation scenarios before they are implemented at the contaminated shoreline. The model has been calibrated to predict the biodegradation rate of saturates and aromatics, but it can be also used to predict the biodegradation rates of individual oil components and to decide on bioremediation studies in shorelines based on the enhancement due to biostimulation (addition of nutrients) or bioaugmentation (addition of hydrocarbon degrading organisms). The GUI provides the oil concentration with time along with best case and worst case scenarios, which is commonly needed for decision making.

Study of the Taiwan Taoyuan Aerotropolis Sustainable Development Evaluation Indicator System

2014 ◽  
Vol 1073-1076 ◽  
pp. 1358-1361 ◽  
Author(s):  
An Pi Chang ◽  
Tih Ju Chu ◽  
Chao Lung Hwang ◽  
Jyh Dong Lin
Keyword(s):  
Sustainable Development ◽  
Evaluation System ◽  
Research Work ◽  
Indicator System ◽  
Development Project ◽  
Evaluation Index ◽  
Development Index ◽  
Index Evaluation ◽  
Index Evaluation System ◽  
Development Evaluation

This research proposes a sustainable development evaluation index for the Taiwan Taoyuan Aerotropolis development project in response to related development strategy, planning, and future development needs. The framework for a Taiwan Taoyuan Aerotropolis Sustainable Development Index Evaluation System includes 8 aspects, 37 evaluation indices and 104 secondary evaluation indices. In determining what to include in the evaluation index, the writers referenced national sustainable development policies and invited governmental agencies involved with the project to engage in focused interviews with experts so as to enhance the drafting of the Taiwan Taoyuan Aerotropolis Sustainable Development Index Evaluation System Framework. The results of this research work can be used as a basis for evaluating the future efficacy of the Aerotropolis development.

LEADME: An Educational Software for Composite Laminate Analysis and Design

2015 ◽  
Vol 1115 ◽  
pp. 578-581
Author(s):  
J.S. Mohamed Ali ◽  
Abeid Abeid Rubeya
Keyword(s):  
User Interface ◽  
Structural Analysis ◽  
Graphical User Interface ◽  
Composite Laminate ◽  
Educational Software ◽  
Laminated Composite ◽  
Educational Tool ◽  
Analysis And Design ◽  
Mechanics Analysis ◽  
User Friendly

LEADME ( Laminate Analysis and Design Made Easy ), an educational software useful for the analysis and design of laminated composite structure has been developed. The software encompasses both the micro and macro mechanics analysis of lamina and laminate. The highlight of this software is that, apart from usual laminate analysis, the software is capable to solve practical laminate applications such as analysis of beams and also a design module is included. The software has been developed using MATLAB-Graphical User Interface (GUI) which makes it very user friendly. The results obtained from this software have been validated. It is expected that this software will serve as an educational tool complementing textbooks for students to gain better understanding of composite structural analysis.

scholarly journals DEFINING GREEN ROAD PROJECT MANAGEMENT SCOPE BY PDRI

2020 ◽  
Vol 5 (10) ◽  
pp. 94-102
Author(s):  
An-Pi Chang ◽  
Jyh-Dong Lin
Keyword(s):  
Evaluation System ◽  
Land Development ◽  
Development Project ◽  
Assessment System ◽  
Evaluation Index ◽  
Road Maintenance ◽  
Full Account ◽  
Index Evaluation ◽  
Road Project ◽  
Index Evaluation System

This study is about the project early operation content of the green road development, takes full account of the operation items of various stages of the life cycle, by the use of special case define the Project Definition Rating Index (PDRI). PDRI assessment framework, defining the need and scope of green road project development operations in the metropolitan area, and inquire set various assessment indicators of the work to complete building the overall indicator assessment system. From research in a policy aspect, as well as data collection out of instances of project case, research program obtains evaluation index operation item, and by semistructured interviews supplements insufficient evaluation index items and particularity needs. Research results will be beneficial to the application in the metropolitan regional overall development project. Building green road index evaluation system helps to avoid the environmental impact brought about by land development, reduce damage to people's life safety as a consequence from needs for road maintenance, alleviate future maintenance and management expenses, and is in line with the expected benefit of green road project sustainable development.

scholarly journals HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0246039
Author(s):  
Shilan S. Hameed ◽  
Rohayanti Hassan ◽  
Wan Haslina Hassan ◽  
Fahmi F. Muhammadsharif ◽  
Liza Abdul Latiff
Keyword(s):  
Machine Learning ◽  
User Interface ◽  
Graphical User Interface ◽  
Efficient Algorithm ◽  
Gene Selection ◽  
High Dimensional ◽  
Competitive Performance ◽  
User Friendly ◽  
High Dimensional Datasets

The selection and classification of genes is essential for the identification of related genes to a specific disease. Developing a user-friendly application with combined statistical rigor and machine learning functionality to help the biomedical researchers and end users is of great importance. In this work, a novel stand-alone application, which is based on graphical user interface (GUI), is developed to perform the full functionality of gene selection and classification in high dimensional datasets. The so-called HDG-select application is validated on eleven high dimensional datasets of the format CSV and GEO soft. The proposed tool uses the efficient algorithm of combined filter-GBPSO-SVM and it was made freely available to users. It was found that the proposed HDG-select outperformed other tools reported in literature and presented a competitive performance, accessibility, and functionality.

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