Android Mobile Informatics Application for some Hereditary Diseases and Disorders (AMAHD): A Complementary framework for medical practitioners and patients.

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Android Mobile Informatics Application for some Hereditary Diseases and Disorders (AMAHD): A Complementary framework for medical practitioners and patients 1 Olugbenga Oluwagbemi, 2 Folakemi Oluwagbemi, and 3 Chisom Ughamadu 1Department of Computer Science, Faculty of Science, PMB 1154,Federal University LokojaLokoja, Nigeria 2 Department of Information Technology, College of Information and Communication Technology, Salem University, Lokoja, Nigeria 3Akwa Ibom State Government Ministry of Works, Wellington Bassey Way, PMB 1079, Barracks Road, Uyo, Nigeria Graphical display of Common Hereditary disease by AMAHD Introduction/background Hereditary diseases and disorders are inheritable in nature. Many people in rural communities of developing countries of the world are particularly ignorant about the cause, mode of transmission and the treatment plan for such diseases. On the other hand, some people completely lack essential knowledge about common and rare hereditary diseases. It is therefore appropriate and essential to develop a mobile application that will act both as an educative resource and a good knowledge base for common and rare hereditary diseases. The aim of this research, therefore, is to develop AMAHD (Android Mobile Informatics Application for some Hereditary Diseases and Disorder). This will act as a Complementary tool for medical students and other inquisitive minds about the knowledge of hereditary diseases. The application will help provide information about hereditary diseases, their symptoms, causes, and mode of treatments. The objectives of this research are to (i) create an android mobile application that will act as a reference point and provide useful information about various hereditary diseases to medical personnel and professionals (ii) provide additional educational resource to biological and medical students in different higher institutions (iii) provide a pedagogical and complementary foundational learning tool for African research students in bioinformatics, biosciences and all other categories of students that currently engage in interdisciplinary research in the aspect of hereditary diseases. Results and Conclusion AMAHD can be downloaded from Google Play through the link: https://play.google.com/store/apps/details?id=com.manish.customnew&hl=fil Results are in Four (4) phases: First, the results showing the classification of hereditary diseases as either common or rare hereditary diseases based on the survey monkey online questionnaire conducted across different regions of the world. Second, the results showing the comparative analysis between AMAHD and other selected existing hereditary-disease mobile applications. Third, the various snapshots of the graphical user interfaces of AMAHD are depicted. Finally, results of the comparative analysis between offline paper survey and online survey monkey survey was presented Methodology For this project, Eclipse Integrated Development Environment (IDE) was used for developing the mobile application. An integration of java and XML programming languages were used to implement AMAHD. Android java source code was used to create the application. XML was used for designing the structure of the interface. SQLite was used for the database aspect of the android application. A simple algorithm was used to implement the symptoms section. BlueStacks App Player was used to emulate and simulate the android application on windows 7 and 8 ope rating systems References [1] AkulMelita.Geneticdisordersanddiseases;2007:p.1–14 〈http://pharmax change.info/press/〉 [accessed 26.05.15]. [2]Bosch Daniëlle GM, Boonstra F Nienke, Willemsen Michèl AAP, Cremers Frans PM, de Vries. Bert BA. Low vision due to cerebral visual impairment: differ- entiating between acquired and genetic causes, BMC. Ophthalmology, 14:59 2014. http://dx.doi.org/10.1186/1471-2415-14-59. [3]López-LeónS,ChiChoyW,AulchenkoYS,ClaesSJ,OostraBA,MackenbachJP, et al.Geneticfactorsinfluence theclusteringofdepressionamongindividuals with lowersocioeconomicstatus.PLoSONE2009;4(3):e5069. http://dx.doi. org/10.1371/journal.pone.0005069. Graphical display of Rare Hereditary disease by AMAHD Contact Dr. Olugbenga Oluwagbemi Email(s) :gbemiseun@yahoo.com :olu.oluwagbemi@fulbrightmail.org : : olugbenga.oluwagbemi@fulokoja.edu.ng