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ORCIDApplied Soft Computing, Volume 20
Volume 20, July 2014
- Sai-Ho Ling, Kit Yan Chan, Vasile Palade, Tharam S. Dillon, Hung T. Nguyen
, Tuan Nghia Nguyen, Xue-wen Chen:
Editorial: Special issue on hybrid intelligent methods for health technologies. 1-3 - Chien-Hsing Chen:
A hybrid intelligent model of analyzing clinical breast cancer data using clustering techniques with feature selection. 4-14 - Kung-Jeng Wang, Bunjira Makond, Kun-Huang Chen, Kung-Min Wang:
A hybrid classifier combining SMOTE with PSO to estimate 5-year survivability of breast cancer patients. 15-24 - Di Wang, Chai Quek, Geok See Ng:
Ovarian cancer diagnosis using a hybrid intelligent system with simple yet convincing rules. 25-39 - José Ignacio Hidalgo, J. Manuel Colmenar, José Luis Risco-Martín, Alfredo Cuesta-Infante, Esther Maqueda, Marta Botella, José Antonio Rubio:
Modeling glycemia in humans by means of Grammatical Evolution. 40-53 - Johnny C. Y. Lai, Frank Hung-Fat Leung, Steve S. H. Ling:
Hypoglycaemia detection using fuzzy inference system with intelligent optimiser. 54-65 - Ka Fai Cedric Yiu:
Neural Network Analysis for the detection of glaucomatous damage. 66-69 - Xiaoxu Han:
Implicit feature selection for omics data phenotype discrimination. 70-82 - Kavitha C. T., C. Chellamuthu:
Medical image fusion based on hybrid intelligence. 83-94 - Mariko Matsumoto, Junichi Hori:
Classification of silent speech using support vector machine and relevance vector machine. 95-102 - José Antonio Sanz, Mikel Galar, Aranzazu Jurio, Antonio Brugos, Miguel Pagola, Humberto Bustince:
Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system. 103-111 - Bartosz Krawczyk, Gerald Schaefer:
A hybrid classifier committee for analysing asymmetry features in breast thermograms. 112-118 - Horacio Emilio Pérez Sánchez, Gaspar Cano, José García Rodríguez:
Improving drug discovery using hybrid softcomputing methods. 119-126 - S. M. N. Arosha Senanayake, Owais Ahmed Malik, Pg. Mohammad Iskandar, Dansih Zaheer:
A knowledge-based intelligent framework for anterior cruciate ligament rehabilitation monitoring. 127-141
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