EPJ Web of Conferences
Volume 68, 2014ICASCE 2013 – International Conference on Advances Science and Contemporary Engineering
|Number of page(s)||6|
|Published online||28 March 2014|
Computational Intelligence Method for Early Diagnosis Dengue Haemorrhagic Fever Using Fuzzy on Mobile Device
School of Computer Science, Bina Nusantara University, Jl.K.H. Syahdan Palmerah no.9, Jakarta, Indonesia
Published online: 28 March 2014
Mortality from Dengue Haemorrhagic Fever (DHF) is still increasing in Indonesia particularly in Jakarta. Diagnosis of the dengue shall be made as early as possible so that first aid can be given in expectation of decreasing death risk. The Study will be conducted by developing expert system based on Computational Intelligence Method. On the first year, study will use the Fuzzy Inference System (FIS) Method to diagnose Dengue Haemorrhagic Fever particularly in Mobile Device consist of smart phone. Expert system application which particularly using fuzzy system can be applied in mobile device and it is useful to make early diagnosis of Dengue Haemorrhagic Fever that produce outcome faster than laboratory test. The evaluation of this application is conducted by performing accuracy test before and after validation using data of patient who has the Dengue Haemorrhagic Fever. This expert system application is easy, convenient, and practical to use, also capable of making the early diagnosis of Dengue Haemorraghic to avoid mortality in the first stage.
Key words: Dengue Haemorrhagic Fever / Diagnosis / Computational Intelligence / Fuzzy Inference System / Mobile Device
© Owned by the authors, published by EDP Sciences, 2014
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