DSpace Repository (University of the Philippines Manila)
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397 research outputs found
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Patient Registry and Schedule Manager for the Clinic for Therapy Services
Full text linkThe Clinic for Therapy Services is a project of the University of the Philippines Manila – College of Allied Medical Professions that serves as a venue for rehabilitation service, training, research, and education for its students and faculty. Attending to the therapy needs of the patients are students from CAMP who are enrolled in the clinical training program of their degree. They are monitored and supervised by clinical supervisors, who are licensed therapists and faculty members of the College. The absence of a comprehensive database of patient information for clinic perusal posed a need for this study that designs, develops, and implements a clinical information system to facilitate the storage and retrieval of patient information, scheduling of therapy sessions, generation of census and summary reports, and dissemination of appointment schedule information to patients
Philippine Stroke Portal
Full text linkPatients with stroke and their caregivers need to be assisted for their coping mechanisms on the effects on stroke. It can be achieved through the use of a web portal that will aggregate various medical resources for the patients and caregivers. This study aims to create a stroke web portal in the Philippine setting. This approach will help the patients with their coping mechanisms and for the betterment of the quality of life. Additionally, this web portal will enable forum threads among med- ical professionals and patients or caregivers in order to discuss stroke, its types, symptoms, diagnosis, complications, initial treatment, and long-term treatment
Deceit: Discreet Communication on Twitter via Error-resistant Steganography
Full text linkAmidst online surveillance activities by government agencies and other malevolent entities, Twitter’s lack of encryption on their Direct Messaging feature calls for a solution to protect their users’ privacy when communicating on the online social network. Deceit is a Google Chrome steganography extension which enables Twitter users to communicate discreetly by concealing their messages inside JPEG images. It employs image processing techniques such as pre-emptive resizing, pre-emptive JPEG encoding, and progressive-to-baseline JPEG transcoding to manage the amount of errors on the message normally introduced by the separate image processing Twitter performs on images. It also employs Modified Linear Block Codes to avoid stuck bits on JPEG steganography and to apply forward error correction if necessary
Mobile Application: Informative Camera (MAICAM) for COA and ANSA-EAP
Full text linkMobile Application: Informative Camera (MAICAM) is a camera application that provides a way to secure basic information such as date, time, and geographical coordinates of the pictures by stamping it directly in the picture with a QR Code. The pictures are utilized in the creation of reports submitted in the web component of MAICAM. The web component is an information system that manages projects and their corresponding audit reports
UP Manila Course Timetabling System (UPM CTS)
Full text linkUniversity course timetabling is a complex and tedious task which involves a lot of variables and constraints. In the University of the Philippines Manila, course timetabling is still being done manually every semester. Doing it this way takes a lot of time and personnel, and the resulting timetables are still not optimal. The UP Manila Course Timetabling System (UPM CTS) is a web application which automates the process of assigning rooms and timeslots to classes in the generation of timetables in UP Manila using a two-stage optimization algorithm consisting of iterative forward search algorithm, hill climbing algorithm, great deluge algorithm, and simulated annealing algorithm. The algorithm tries to find the most optimal timetable based on the constraints provided until a predetermined time limit is reached. If a complete timetable, where all classes are assigned to rooms and timeslots, cannot be found, a subset of classes with assigned rooms and timeslots is still returned
Votemind: Using Sharemind for Privacy and Verifiability in Internet Voting
Full text linkElectronic voting (e-voting) has been replacing traditional voting because it can automate the counting process of ballots. A type of e-voting – Internet voting – enables the voter to vote from home which increases voter turnout. In order for an I-voting system to be considered secure, it must satisfy both privacy and verifiability. A problem with most I-voting systems is that it usually trusts a third party to store and compute the votes, which risks the privacy and verifiabilty of the votes if that party becomes malicious. Secure Multiparty Computation (SMC) protocols can be implemented to meet these requirements by removing the need of trusting a third party. It achieves this by using multiple parties to do the storing and computing. Sharemind is a framework for SMC that can be used to create a secure I-voting system. This was done in Piscos’ work, but her system still trusts in an intermediary web server which must be trusted. Talviste proposed an architecture that eliminates the need for the intermediary web server. This architecture uses a Javascript library that can split the data at the source. With the use of Sharemind 3 and the Javascript library, we created Votemind, which is an improvement of the Internet voting system of Piscos
Anterograde Amnesia Information System
Full text linkThe fast-growing modern technology is evident in various health institutions. Through Health Informatics, information technology-based innovations for deliv- ering healthcare continues to develop. Anterograde Amnesia Information System, or simply AAIS, is no different. AAIS is a web-based application system which is designed to provide technological assistance to patients with such condition by hosting compensatory techniques that will help them in their everyday lives. This system also aims to provide a remote monitoring capacity through the report gen- eration feature
Diabetic Retinopathy Detection Tool (DRDT)
Full text linkDiabetic retinopathy is one common cause of vision impairment. If not detected and treated, this can also cause blindness. Diabetic Retinopathy Detection Tool (DRDT) is a non-proprietary decision support tool. It classifies fundus/eye images as normal or diabetic retinopathy positive through the use of image processing and support vector machines. The classification is based on the areas of retinal structures and GLCM texture features. DRDT could be used as a starting point for other developers who want to create a decision support tool for DR. Since DRDT’s trained classifier gives an average accuracy of 66.6667%, the methods used in the creation of the tool needs to be enhanced to achieve higher accuracy. If the tool is improved, it could be used to provide second opinion to ophthalmologists on detecting DR in patients
Localized E-Commerce Application for University of the Philippines Manila (LEAf-UPM)
Full text linkMany organizations or individuals at the University of the Philippines Manila (UP Manila) sell different types of products such as shirts, textbooks, tickets, etc. The only ways into which these sellers are able to advertise their products are by means of (1) posting some posters of these on bulletin boards, (2) posting posters of these on social media and (3) direct communication between the buyer and the seller. Because of this, certain problems are encountered by both buyers and sellers in terms of convenience, effort, awareness, customer and product management. Certain web applications have already been designed and implemented but none of these is localized; that is, for use only within the UP Manila campus. The goal of this project is to design and implement a localized web-based application which will centralize all product advertisements, all sellers and all buyers of products within UP Manila
Privacy-Preserving Genomic Disease Susceptibility Testing Using Secure Multiparty Computation
Full text linkThe paradigm shift invoked by next-generation sequencing (NGS) technologies gives rise to the applications of in silico human genomic data in the clinical set- ting – one application being genomic disease susceptability testing (DST). DST utilizing sensitive genomic data implicates the need for keeping the test private and secure: where both medical unit of a patient and research group with the disease markers want their genomic data private from each other and to any other adversary that could stigmatize and/or discriminate the medical unit’s patients and that could compromise the profitable disease markers of the research group. To contribute to this need for privacy in DST’s genomic data, this project aims to deliver a privacy-preserving genomic disease susceptibility testing over a secure multiparty computation environment using Sharemind