| Knowledge Discovery in Health Care and Medicine | |
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Greece - Athens |
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| Hosted by: | ECML/PKDD 2011 |
| Venue: | Athens |
| Dates: | Sep 05, 2011 through Sep 09, 2011 |
| Call for Proceedings Presentations: | 2011-05-01 through 2011-06-07 |
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Description |
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| Workshop Description: Throughout its modern existence, humankind has benefited from continuous advances in health care and medicine resulting in substantial improvements in the quality of life. Better disease understanding, improved medicines, and effective treatment protocols, are just some of the reasons behind the 10+ years increase in life expectancy from 1950 to 1997. However, in the last decade, despite the widely held belief that the post-genomic era will lead to substantial additional improvements, we have witnessed a considerable slow down at the rate at which new treatments are discovered and introduced into the health care system. In addition, the ever increasing costs associated with modern health care, makes it critical to reduce unnecessary treatments and procedures while still ensuring the best possible health outcomes. To this end, mining massive amounts of data being generated in health care is increasingly considered an integral part of technological breakthroughs needed to provide meaningful solutions to the above problems. Suggested Topics (but not limited to the following) include: Knowledge discovery in electronic medical records. Text mining of unstructured and semi-structured biomedical health-related data, drug target validation, indications discovery, and adverse event mining. Analysis of complex preclinical in-vivo outcomes. Medical insurance fraud and abuse detection. Patient-centered and evidence-based care. Information retrieval for health applications. Knowledge discovery for improving patient-provider communication. Large-scale longitudinal mining of medical records. Medical and wellness recommender system (e.g., medical products, fitness programs) Personalized predictive modeling for clinical management. Privacy preserving mining of health records. Patient management. Social media analytics for disease and outbreak monitoring and prediction. Data integration for drug discovery research. Gene expression analysis for target validation and toxicity analysis Data-mining and machine learning in designing therapeutic agents. Mining and prediction of characteristics such as absorption & distribution of therapeutic agents. Patent mining and analysis for pharmaceutical research. Computational discovery of genetic biomarkers for selecting the right patient population. Integrating and mining diverse data (text, pathology, phenotypic data) to predict patient outcomes. Pharmacovigilance and post-market surveillance. Impact of social networks on personalized medicine. Medical device fault detection and prevention. Pattern recognition in medical images and data. |
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| Additional Information | |
| Event URL: | http://www.cs.gmu.edu/~hrangwal/kd-hcm/ |
| ISCB Member Discount: | None |
| Contact Person: | Huzefa Rangwala ([javascript protected email address]) |
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