The use of computer technology has significantly advanced the medical sector, and many computer technologies have been used to develop healthcare, such as the patient management system, monitoring ...and control systems, and diagnostic systems. Technological advances in healthcare have also helped in saving numerous patients and are constantly improving our quality of life. Technology in the medical sector has also had a major effect on almost all healthcare professional techniques and practices. In order to facilitate rapid diagnosis and treatment of different skin diseases by the use of a deep learning model, this study developed a comprehensive framework to improve the decision-making of dermatologists in Nigeria in terms of the diagnosis of selected skin diseases. The developed system achieved the network accuracy of 98.44 % and the validation accuracy of the test set is 99.44 % as specified by the training results, further testing reveal that the developed system yielded rejection rate of 2.2 % and recognition accuracy of 97.8 %.
A complex interface can disorient the user in a mild situation while designing web-based application. Thus, measure should be taken to reduce the complexity and provide reasonable qualities ...(simplicity, generality and usability) to the user. This paper evaluates Interface Complexity Metric (ICM) between two xml schema languages: World Wide Web Consortium XML Schema (WXS) and Regular Language for Next Generation (RNG) to weigh human insight on the factors affecting effort for comprehending schema documents; taking into account elements and attributes of xml documents; acquired from Web Services Description Language (WSDL). It is probable to lure decisions about the professed qualities; that out of one hundred and twenty (120) schema documents implemented in rng and wxs; rng has the lowest complexity values for almost all the schema documents when compared with wxs because rng exhibits better presentation with high degree of simplicity, generality and usability qualities than wxs. Therefore, this is benefited to developers in assisting them in writing less lengthy code and simplifying software modularization.
The use of computer technology has significantly advanced the medical sector, and many computer technologies have been used to develop healthcare, such as the patient management system, monitoring ...and control systems, and diagnostic systems. Technological advances in healthcare have also helped in saving numerous patients and are constantly improving our quality of life. Technology in the medical sector has also had a major effect on almost all healthcare professional techniques and practices. In order to facilitate rapid diagnosis and treatment of different skin diseases by the use of a deep learning model, this study developed a comprehensive framework to improve the decision-making of dermatologists in Nigeria in terms of the diagnosis of selected skin diseases. The developed system achieved the network accuracy of 98.44 % and the validation accuracy of the test set is 99.44 % as specified by the training results, further testing reveal that the developed system yielded rejection rate of 2.2 % and recognition accuracy of 97.8 %.
The use of computer technology has significantly advanced the medical sector, and many computer technologies have been used to develop healthcare, such as the patient management system, monitoring ...and control systems, and diagnostic systems. Technological advances in healthcare have also helped in saving numerous patients and are constantly improving our quality of life. Technology in the medical sector has also had a major effect on almost all healthcare professional techniques and practices. In order to facilitate rapid diagnosis and treatment of different skin diseases by the use of a deep learning model, this study developed a comprehensive framework to improve the decision-making of dermatologists in Nigeria in terms of the diagnosis of selected skin diseases. The developed system achieved the network accuracy of 98.44 % and the validation accuracy of the test set is 99.44 % as specified by the training results, further testing reveal that the developed system yielded rejection rate of 2.2 % and recognition accuracy of 97.8 %.
The use of computer technology has greatly enhanced the medical field, many computer applications, such as patient information system, monitoring and control systems, and diagnostic systems have been ...used to enhance healthcare. Technological developments in healthcare has helped in saving countless patients and are continuously improving our quality of life. Also technology in the medical field has had a massive impact on nearly all processes and practices of healthcare professionals. This study developed a robust system to enhance the decision making of dermatologist in Nigeria in terms of diagnosis of selected skin diseases, so as to foster quick diagnosis and treatment of various skin diseases through the use of a deep learning model. The developed system achieved the network accuracy of 98.44% and the validation accuracy of the test set is 99.44 % as specified by the training results, further testing reveal that the developed system yielded rejection rate of 2.2% and recognition accuracy of 97.8%.
PDF
