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dc.contributor.authorGunawardhana
dc.contributor.authorHPSW
dc.contributor.authorDangalla
dc.contributor.authorRL
dc.date.accessioned2019-11-22T12:47:17Z
dc.date.available2019-11-22T12:47:17Z
dc.date.issued2019
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/2286
dc.description.abstractMaternal physical and mental health is standout amongst the most essential factors of a woman’s life. Physically or Mentally unstable mothers cannot function properly. Therefore, innovative solutions to selfmanagement of maternal health issues are particularly valuable. This paper presents the design approaches of an ongoing project of developing an Intelligent Web Application for Maternal Health Management. The designs were based on creating an efficient and reliable web app for good maternal physical & mental health care, healthy baby birth, baby care and mother care. This web application is consist with the Edinburgh postnatal depression scale to measure the stress , stress meter and technique to connect the users with midwifes anddoctors. Edingburgh postnatal depression scale (EDPS) is developed as an Expert system and the web application consists with chatbot feature which helps to solve users’ problems regarding maternity. This system is developed specially for Sri Lankan pregnant mothers; therefore, language of this application is Sinhala. Automated EPDS concept is not still been utilized by many maternal application developers when designing maternity related web applications. Additional to these two major features this application is consist with a database which keeps patients records and facility for doctors to provide music therapy through this app if needed. The final objective of this project will be developing an intelligent web application which provide guidelines for maternal period and stress managing criteria using expert system technology.
dc.language.isoenen_US
dc.subjectDaily Maximum Water Levelen_US
dc.subjectPredictionen_US
dc.subjectDecision Tree Algorithmen_US
dc.titleFlood Prediction System for Kelani Riveren_US
dc.typeArticle Full Texten_US
dc.identifier.journalKDUIRC-2019en_US
dc.identifier.pgnos429-437en_US


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