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New Approach of Diagnosis by Timed Automata
Azzabi, Olfa; Ben Njima, Chakib; Messaoud, Hassani - In: International Journal of Ambient Computing and … 8 (2017) 3, pp. 76-93
, we are interested in the diagnosis of failures with Timed Automata. The proposed approach is based on the operating time … performance of the diagnosis showing the power of this diagnostic approach. An implementation on a hydraulic system is made to …
Persistent link: https://www.econbiz.de/10012042660
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A Hybrid Model for Rice Disease Diagnosis Using Entropy Based Neuro Genetic Algorithm
Lavanya, K.; Durai, M.A. Saleem; Iyengar, N.Ch.S.N. - In: International Journal of Agricultural and Environmental … 7 (2016) 2, pp. 52-69
imperfect and complex nature of symptoms that aids in diagnosis.. For precise rice disease diagnosis, domain knowledge of …
Persistent link: https://www.econbiz.de/10012042752
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The Role of Artificial Intelligence in Clinical Decision Support Systems and a Classification Framework
Walczak, Steven - In: International Journal of Computers in Clinical Practice … 3 (2018) 2, pp. 31-47
Clinical decision support systems are meant to improve the quality of decision-making in healthcare. Artificial intelligence is the science of creating intelligent systems that solve complex problems at the level of or better than human experts. Combining artificial intelligence methods into...
Persistent link: https://www.econbiz.de/10012043566
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The Diagnosis of Dengue Disease: An Evaluation of Three Machine Learning Approaches
Gambhir, Shalini; Malik, Sanjay Kumar; Kumar, Yugal - In: International Journal of Healthcare Information Systems … 13 (2018) 3, pp. 1-19
target of this article is to propose a model for an early detection and precise diagnosis of dengue disease. In this article …
Persistent link: https://www.econbiz.de/10012045225
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A Hybrid Predictive Model Integrating C4.5 and Decision Table Classifiers for Medical Data Sets
Sarkar, Bikash Kanti; Kumar, Amit - In: Journal of Information Technology Research (JITR) 11 (2018) 2, pp. 150-167
domain data sets, and these patterns are then applied for clinical diagnosis. Truly, any accurate, precise and reliable … classification models significantly assist the medical practitioners to improve diagnosis, prognosis and treatment processes of …
Persistent link: https://www.econbiz.de/10012049164