A noninvasive intelligent approach for predicting the risk in dengue patients

• Main Authors: Faisal, T., Ibrahim, F., Taib, M.N.
• Format: Article
• Language: English
• Published: 2010
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/9320/1/A_noninvasive_intelligent_approach_for_predicting_the_risk_in_dengue_patients.pdf; http://eprints.um.edu.my/9320/; http://www.scopus.com/inward/record.url?eid=2-s2.0-70449565546&partnerID=40&md5=3ef160197427555275dd469f2f8d28a9 http://www.sciencedirect.com/science/article/pii/S0957417409007283
• Institution: Universiti Malaya

The scope of the difficulties that has been addressed in dengue disease includes the definition of the risk criteria in dengue disease and the prediction of the risk in dengue patients. It is critical to precisely and efficiently predict the level of risk in dengue disease for clinical care, surveil...