Clinical decision support system to predict chronic kidney disease: A fuzzy expert system approach.

The aim of this review is to provide a broad overview of the state-of-the-art works mainly published in the last ten years on expert systems applied in different medical domains. Being able to support and sometimes substitute experts, an expert system may be a precious ally for medical diagnoses. Medical expert system applications provide physicians and patients with an immediate access to knowledge and advice, rooting their flexibility into their knowledge bases, rule sets and graphical interfaces. To be trusted by their users, medical expert systems should follow some criteria, which we investigate along with their different realization, from fuzzy logic to wearable solutions for out-of-clinical-environment care. We also consider the advantages of approaching diagnoses and alert systems through an artificial intelligence counterpart, without forgetting the importance of a good validation to assess the system functionality. Therefore, we show the heterogeneity of the solutions proposed by the literature, bounded to the specific needs a medical expert system is called to answer, the common lack of a system validation and the possible benefits deriving from these systems application.

Expert systems: Definitions, advantages and issues in medical field applications

Food prices and food affordability are important determinants of food choices, obesity and non-communicable diseases. As governments around the world consider policies to promote the consumption of healthier foods, data on the relative price and affordability of foods, with a particular focus on the difference between ‘less healthy’ and ‘healthy’ foods and diets, are urgently needed. This paper briefly reviews past and current approaches to monitoring food prices, and identifies key issues affecting the development of practical tools and methods for food price data collection, analysis and reporting. A step-wise monitoring framework, including measurement indicators, is proposed. ‘Minimal’ data collection will assess the differential price of ‘healthy’ and ‘less healthy’ foods; ‘expanded’ monitoring will assess the differential price of ‘healthy’ and ‘less healthy’ diets; and the ‘optimal’ approach will also monitor food affordability, by taking into account household income. The monitoring of the price and affordability of ‘healthy’ and ‘less healthy’ foods and diets globally will provide robust data and benchmarks to inform economic and fiscal policy responses. Given the range of methodological, cultural and logistical challenges in this area, it is imperative that all aspects of the proposed monitoring framework are tested rigorously before implementation.

Monitoring the price and affordability of foods and diets globally

E-commerce is a very rapid development of trade in various fields, including pharmaceuticals. One process is the provision of prescription or non-prescription drugs from pharmacies. The management practice is still done manually, which involves the buying and selling process in person. Besides, processing and drug supplies are also done manually. These reasons make the process less effective and efficient, so it is necessary to develop an information system in buying and selling (e-commerce), improving performance, and reaching the target market. This system development uses the SDLC (System Development Live Cycle) concept and e-commerce, specifically in the pharmaceutical sector. This process is carried out from requirements to testing. The development is an e-commerce website that can help in the pharmacy's buying and selling process. Besides, the website is capable of connecting with customers. The system can integrate existing supplies into a pharmacy information system. The design of this system uses the programming languages PHP and MySQL. The results were tested using the Black Box method with the results that all processes and functions performed were carried out correctly. The developed website can be implemented in e-commerce at the pharmacy.

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Web development based on sdlc concept approach in e-commerce at basuki jaya pharmacy

The study focused on the development of a mobile application which aims to assist farmers and target users with the different techniques in planting crops. The application includes suggestions on which type of crop is suitable to plant in a specific type of soil and season. This application also provides guidelines on how to make essential fertilizer to help farmers in treating different crops condition. Furthermore, the developers implemented the time-series moving average algorithm which allows farmers and other users to monitor their expenses and forecast the demand on their crops. The Prototyping method was applied by the researchers as the methodology during the development of the project due to the increase in the number of requirements and series of remodeling. The developed application was evaluated by agriculturist, IT professionals and target users using ISO/IEC 9126 as a tool for software testing, usability, functionality, and reliability. The results of the evaluation showed that the application was able achieved the defined objectives from the outcome of the survey given to the experts and other evaluators.

A Mobile Application for Organic Farming Assistance Techniques using Time-Series Algorithm

In this paper, we developed a new mobile application designed to protect your images stored on your mobile phone using Advanced Encryption Standard algorithm to secure images by encrypting it and Least Significant Bit algorithm to process the encrypted image and embed it into another image. To achieve high level of encryption, a 256 bit length key of Advance Encryption Standard is used to maximize protection and Diffie-Hellman algorithm to secure the processed key to both parties without interference from outside. In steganography, the encrypted image will be invisible into the cover image in which potential hackers do not have any idea about the original image embedded inside of the cover image, and with this even if the hacker got the image it will still need the correct key to decrypt it or else the image will be deleted The study used Rapid Application Development Model as the project development methodology, which allows the preceding phase to iterate until the application is refined, requirements are gathered and allows early testing of the prototypes during every iteration to reduce the risk of any major issues in the final deployment of the application. With the use of ISO/IEC/IEEE 29119 Testing Standards, the application was evaluated in terms of its security, usability and reliability. Based on the evaluation results, the application satisfied the respondents and possible users with an overall mean rating 4.17 or acceptable.

BlockSight: A Mobile Image Encryption Using Advanced Encryption Standard and Least Significant Bit Algorithm

Unfamiliarity about the school campus grounds results common problems for new students or visitors. They tend to get lost inside the campus, arrive late in classes or meetings. They navigate by themselves and ask security personnel, still they tend to take time to reach their destination or most often they get lost. This study is for new students and visitors. It helps them to explore and navigate the campus grounds thru a mobile application. The mobile application provides a user-friendly interface which considers user experience. The mobile application serves as a guiding tool in navigating around the school campus grounds. In the study, the mobile application used Google Map to track the current location of the user and plot the route from the origin to the destination inside the Technological Institute of the Philippines Quezon City campus using fuzzy logic algorithm to get the shortest route and channel selection algorithm to get the nearby user within a perimeter. The study used the Rapid Application Development model in order to deliver expected outputs. Surveys using a questioner drafted from ISO 25010 were conducted to determine the effectiveness of the developed mobile application in terms of its functionality, reliability and efficiency. It was concluded that the mobile application is an effective tool in giving navigation and campus information for its users. For the result, the average mean of all the criteria yields 4.12 interpreted as very effective using the 5 point Likert’s Scale. Thus, the mobile application is useful reliable, functional, and efficient to serve its purpose.

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TIP EXPRESS: An Android School Navigation Application

According to American Social Health Association, more than half of all people in the world will have Sexually Transmitted Infection (STI) or popularly known as STD at some point in their lifetime. This paper presents the work of developing a mobile expert system to provide information about the most common venereal and sexually transmitted diseases in the Philippines. The mobile application developed is capable of diagnosing the user based from the different physical manifestations of symptoms and usual signs that occur in their body. The source of data used to build the expert system was collected from various related literature studies and interviews with experts in venereology. The information provided by the application will help users in identifying early signs and symptoms of VD/STD and will also improve their knowledge regarding these infectious diseases. Detection of the VD/STD at a primary stage is essential as to increase people’s survival rate. A fuzzy logic algorithm was utilized to filter different symptoms and provide an accurate result of the diagnostic testing. The system was evaluated by venereal disease expert, venereal disease/ sexually transmitted disease patients and IT Professionals through its functionality, efficiency, and portability. The results of the evaluation showed that the application was able achieved the defined objectives from the outcome of the survey given to the experts and other evaluators. 

http://www.jait.us/uploadfile/2018/0831/20180831053838824.pdf

A Mobile Expert System Utilizing Fuzzy Logic for Venereal and Sexually Transmitted Diseases

Anybody can guess the winners of a basket game. The question is how big the chances are in predicting the real winners. Relying only on the experts' experiences and intuition could not discover all the value and potential of the collected data. Driven by the increasing comprehensive data in sports datasets and data mining technique successfully used in different areas, sports data mining technique emerges and enables us to find hidden knowledge to impact the sports industry. A more scientific approach is needed to use for these data that are collected. Some predictors based only on winning records and some based only on statistical records of both teams. There are also predictors which use both types of data, but the accuracy of applying different individual algorithms is only ranging about 60% - 70%. To achieve better prediction rates and deal with that complexity, a lot of machine learning methods have been implemented over these data. This paper presents an improved technique for predicting basketball game results implementing cascading algorithm. The researchers combined Naive Bayes, Four Factor Analysis, and Fuzzy Logic Algorithms to predict basketball game result in an acceptable level of 69% - 70% accuracy. The researchers tested several times using data sets from NBA game Season 2015-2016, and the cascading algorithm result manages to reach 70% prediction accuracy. The result of this system can be used to assist basketball coaches in making plans for possible team developments. Also, the forecasted results can serve as an aid in building effective gameplay.

Predicting Basketball Results Using Cascading Algorithm

This paper discusses the implementation of the Escaping Technique in an Online Inventory System to prevent the Cross Site Scripting (XSS) attack. It also covers discussion about XSS described as a kind of injection attack that injects malicious scripts in the web application. This study also discusses the different types of XSS attacks citing some related studies which provide additional necessary information. Furthermore, a discussion of preventive measures to address the vulnerabilities of XSS attack is also covered in this study. Likewise, the escaping process is able to secure the developed online inventory system against XSS attack. Stripping out unwanted data, like malformed HTML or script tags prevents this data from being seen as code. The implementation of this technique is to be seen in an online inventory system. All of the possible situations were analyzed and imbedded on the developed online inventory system. Thus, it is very vital to secure the confidentiality, availability and integrity of the data inside the system and to mitigate the vulnerability to spread widely.

Reynaldo E. Castillo

Papers

BlockSight: A Mobile Image Encryption Using Advanced Encryption Standard and Least Significant Bit Algorithm

TIP EXPRESS: An Android School Navigation Application

A Mobile Expert System Utilizing Fuzzy Logic for Venereal and Sexually Transmitted Diseases

Predicting Basketball Results Using Cascading Algorithm

Integrating the Escaping Technique in Preventing Cross Site Scripting in an Online Inventory System