| A Novel Ontology and Machine Learning Driven Hybrid Clinical Decision Support Framework for Cardiovascular Preventative Care Contributor(s): Farooq, Kamran (Author) |
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ISBN: 3668241996 ISBN-13: 9783668241992 Publisher: Grin Verlag OUR PRICE: $144.31 Product Type: Paperback Published: June 2016 |
| Additional Information |
| BISAC Categories: - Computers | Networking - General |
| Physical Information: 0.72" H x 5.83" W x 8.27" (0.93 lbs) 322 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Doctoral Thesis / Dissertation from the year 2015 in the subject Computer Sciences - Artificial Intelligence, grade: -, University of Stirling (Computing Science and Mathematics), language: English, abstract: Clinical risk assessment of chronic illnesses is a challenging and complex task which requires the utilisation of standardised clinical practice guidelines and documentation procedures in order to ensure consistent and efficient patient care. Conventional cardiovascular decision support systems have significant limitations, which include the inflexibility to deal with complex clinical processes, hard-wired rigid architectures based on branching logic and the inability to deal with legacy patient data without significant software engineering work. In light of these challenges, we are proposing a novel ontology and machine learning-driven hybrid clinical decision support framework for cardiovascular preventative care. An ontology-inspired approach provides a foundation for information collection, knowledge acquisition and decision support capabilities and aims to develop context sensitive decision support solutions based on ontology engineering principles. The proposed framework incorporates an ontology-driven clinical risk assessment and recommendation system (ODCRARS) and a Machine Learning Driven Prognostic System (MLDPS), integrated as a complete system to provide a cardiovascular preventative care solution. The proposed clinical decision support framework has been developed under the close supervision of clinical domain experts from both UK and US hospitals and is capable of handling multiple cardiovascular diseases. |