The Scope Of Developing Medical Diagnosis Support System For Life Style Diseases

ABSTRACT

The main reason that brought the scope of developing medical diagnosis support system for

life style diseases is the high death rate and huge amount of people suffering from such

diseases. The system is a web based application developed using PHP, JavaScript and MySQL

database using Adobe Dreamweaver CC 2018 software and XAMPP. The study was conducted

weather it was feasible to come up with a system in terms of economic, technological,

operational and social standings and it was determined that it was viable in these aspects. Data

was collected through the use of interviews and questioners the researcher targeted the patients

and the doctors. Data gathering was done to identify problems faced by the Ministry of health

and child care and patients. From the data gathered the researcher determined requirements and

how the new system was going function. The system analysis process was done successfully

and all the necessary data and process flow were modelled using various techniques including

data flow diagrams and class diagrams to ensure that nothing was left out for the design and

development of the system. Evaluations was made on how to deliver the new system and

amongst all alternatives in-house development was favoured due to availability of developers

within the organisation. The design of the system was done focusing on all system aspects that

is architectural design, physical design, database design and logical design. The system was

tested using Blackbox and White box testing and all the necessary verifications of data and

system validation was done to ensure the system is working as intended. Parallel changeover

was used to install the system this is because visiting to the hospital direct is not going to be

faced out its either use the system or go direct to the hospital. Maintenance of the system was

decided that all the methods of maintenance is going to be used since they save different

purposes. The system will allow diagnosis by matching symptoms with appropriate diseases

and suggest specialist according to diseases diagnosed in area of speciality