CAREER: Novel Optimization Methods for Cooperative Data Mining with Healthcare and Biotechnology Applications

点击翻译按钮获取中文摘要

ABSTRACT0546574Wanpracha ChaovalitwongseRutgers University New BrunswickCAREER: NOVEL OPTIMIZATION METHODS FOR COOPERATIVE DATA MINING WITH HEALTH-CARE AND BIOTECHNOLOGY APPLICATIONSThere is an urgent need to advance and apply quantitative and qualitative approaches to the study ofepilepsy and brain disorders. As uncontrolled epilepsy poses a significant burden to society due to as-sociated healthcare cost, this project is aimed at the development of an automated seizure predictionsystem and brain abnormal activity classifier. To achieve this goal, optimization-based data mining(DM) approaches will be developed to quantitatively analyze the brain activity through electroen-cephalogram (EEG) data. The proposed DM techniques will excavate hidden patterns/relationshipsin EEGs, which will give a greater understanding of brain functions (as well as other complex sys-tems) from a system perspective. Specifically, a new DM paradigm for the seizure prediction andbrain activity classification will be developed based on novel optimization-based DM techniques forfeature selection, clustering, and classification. The proposed research will contribute to the computerscience, engineering and medical communities along the following four lines: (1) the development ofnovel mathematical models and optimization techniques for DM problems and time series analysis,(2) the implementation of statistical techniques to detect patterns from selected features/clustersfor predicting seizures and classifying normal and epileptic EEG activity, (3) the utility of detectiontheory and the experimental designs to assess and validate the efficacy, robustness, and uncertaintyof the proposed DM paradigm as well as fine-tune the optimal parameter setting, (4) the extensionof the fundamental research findings in optimization and DM to other cross-disciplinary research,which will constitute a new avenue of research in optimization-based DM and time series analysis.The proposed research is very crucial to decision making processes in real world problems. Successof this research will advance the state-of-the-art in the field of optimization in DM, and have agreatly significant impact on medical research. The research scope in this proposal touches uponseveral emerging optimization and DM problems, which are driven by ever growing computationalpower. The proposed research has shown a broad impact on many research fields including computerscience, operations research, computational biology, and logistics. The scope of this project itselfwill broaden opportunities and enable the participation of all citizens women and men, underrep-resented minorities, and especically persons disabled by epilepsy. Success of this proposal in seizureprediction research will relieve the anguish from this life-threatening disease and improve the lifequality of at least 2 million Americans (14 millions worldwide), who are currently suffering fromepilepsy regardless of race, age, or gender.