Medical knowledge extraction from big data [electronic resource] / Constantinos M. Koutsojannis, editor.
"Data mining refers to the activity of going through big data sets to look for relevant information. As human health care data are the most difficult of all data to collect and their primary direction is the treatment of patients, and secondarily dealing with research, almost the only vindication fo...
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| Language: | English |
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New York :
Nova Science Publishers,
[2020]
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| Series: | Computer science, technology and applications
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| Online Access: | |
| Format: | Electronic eBook |
Contents:
- Chapter 1. Medical Big Data (Anthi Malliori, PhD, Department of Medical Physics, University Patras, Patras, Greece)
- Chapter 2. Data Mining in Health Sciences (Andreas Andrikopoulos, PhD, Laboratory of Health Physics and Computational Intelligence, University of Patras, Patras, Greece)
- Chapter 3. Medical Knowledge Extraction: Particular Difficulties and Obligations (Constantinos Koutsojannis, PhD, Health Physics and Computational Intelligence Lab, University of Patras, Patras, Greece)
- Chapter 4. An Intelligent System for Histological Outcome Prediction of Parathyroid Hyperplasia Based on CT Imaging (Kalogeropoulou Christina, PhD, Zampakis Petros, PhD, Hatzilygeroudis Ioannis, PhD, and Constantinos Koutsojannis, PhD Tsimara Maria, Department of Radiology, University of Patras, Patras, Greece, and others)
- Chapter 5. Knowledge Extraction Algorithms for Endoleak Prediction into the Abdominal Aortic Aneurysm (Maria-Konstantina Chasapi, Zampakis Petros, MD, and Constantinos Koutsojannis, PhD, Laboratory of Health Physics and Computational Intelligence, University Patras, Patras, Greece, and others)
- Chapter 6. Intelligent Evaluation of Morphological Factors Which Affect the Manifest or Not of Stroke in Patients with Carotid Disease by Using Data Mining Algorithms (Chasapi Lamprini, Zampakis Petros and Constantinos Koutsojannis, PhD, Laboratory of Health Physics and Computational Intelligence, University Patras, Patras, Greece, and others)
- Chapter 7. General Knowledge Modified from Expert's Clinical Experience for Precise Depression Diagnosis in a Mobile Intelligent System (Andreas Andrikopoulos, PhD, Constantinos Koutsojannis, PhD, and Ioannis Hatzilygeroudis, PhD, Laboratory of Health Physics and Computational Intelligence, University of Patras, Patras, Greece, and others)
- Chapter 8. A Hybrid Intelligent System for Diagnosis of Male Impotence with the Use of Direct Knowledge Representation (Constantinos Koutsojannis, PhD, Grigorios Beligiannis, PhD, Perimenis Petros, PhD, and Ioannis Hatzilygeroudis, PhD, Laboratory of Health Physics & Computational Intelligence, University of Patras, Patras, Greece, and others)
- Chapter 9. Big Data Mining for Analysing and Processing Brain Signals Harvested with SQUID Based MEG (Adamantios-Ioannis Statyris, Constantinos Koutsojannis, PhD, and Ioannis Hatzilygeroudis, PhD, Laboratory of Health Physics and Computational Intelligence, University of Patras, Patras, Greece, and others).