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Titolo: |
Knowledge-Based Systems in Biomedicine and Computational Life Science [[electronic resource] /] / edited by Tuan D. Pham, Lakhmi C. Jain
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Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Edizione: | 1st ed. 2013. |
Descrizione fisica: | 1 online resource (XII, 216 p.) |
Disciplina: | 610.285/63 |
Soggetto topico: | Computational intelligence |
Artificial intelligence | |
Systems biology | |
Computational Intelligence | |
Artificial Intelligence | |
Systems Biology | |
Persona (resp. second.): | PhamTuan D |
JainLakhmi C | |
Note generali: | Bibliographic Level Mode of Issuance: Monograph |
Nota di bibliografia: | Includes bibliographical references and author index. |
Nota di contenuto: | Physiological Sensor Signals Analysis to Represent Cases in a Case-based Diagnostic System -- Breast Cancer Histological Image Classification with Multiple Features and Random Subspace Classifier Ensemble -- Image Processing and Reconstruction of Cultured Neuron Skeletons -- Protein Structure Prediction: Are we there yet? -- Text Mining for Neuroscience: A Co-Morbidity Case Study -- Robust algorithmic detection of cardiac pathologies from short periods of RR data -- Studies on Five Senses Treatment -- Fuzzy Knowledge-based Subspace Clustering for Life Science Data Analysis. |
Sommario/riassunto: | This book presents a sample of research on knowledge-based systems in biomedicine and computational life science. The contributions include: · personalized stress diagnosis system · image analysis system for breast cancer diagnosis · analysis of neuronal cell images · structure prediction of protein · relationship between two mental disorders · detection of cardiac abnormalities · holistic medicine based treatment · analysis of life-science data . |
Titolo autorizzato: | Knowledge-Based Systems in Biomedicine and Computational Life Science ![]() |
ISBN: | 3-642-33015-0 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910437768603321 |
Lo trovi qui: | Univ. Federico II |
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