敬請踴躍參加!

時 間：2014年8月22日星期五 10:20~11:30

地 點：交通大學工程三館4樓EC427會議室

主辦單位：網路與資訊系統工業基礎深耕中心

演講者：Dr. Cho-Yu Jason Chiang (姜卓宇)

講 題：Discovery of Undiagnosed Patients with Rare Diseases by Big Data Analytics: A Case Study

摘 要： In this talk, I will describe a data mining process for discovering patients likely with rare diseases but are yet to be correctly diagnosed. Patients with rare diseases are hard to be diagnosed mainly because some of the symptoms of those diseases could lead to misdiagnoses for other more common diseases. By leveraging a large-scale health insurance claims database, my colleagues and I have developed a promising data mining methodology by combining big data analytics, machine learning and descriptive diagnostics to discover suspects of rare diseases who have not yet been correctly diagnosed. This has great impact to the healthcare industry as such hard-to-diagnose diseases result in repeated misdiagnoses, which waste considerable resources and prolong the suffering periods of patients. Based on the methodology, we have designed a prototype and applied it to one of the most debilitating rare diseases, Hereditary Angioedema (HAE遺傳性血管水腫). Our results showed that previously unknown HAE patient suspects could be discovered via this data mining process with a high degree of confidence.

簡 介： Dr. Cho-Yu Jason Chiang is Director and Chief Scientist of Knowledge-Based Systems Department at Applied Communication Science, formerly Telcordia Applied Research. Dr. Chiang is PI or co-PI on several U.S. government-funded research and development projects. His current research interests span across a number of areas related to networking, network management, cyber security, cyber physical systems and big data. Dr. Chiang has published over 50 papers in refereed conference proceedings and journals. He is on the program committees of multiple international conferences, and recently served as co-chair for the IEEE MILCOM 2013 Track 4, “System Perspectives”. Dr. Chiang received B.S. from the National Taiwan University and Ph.D. in Computer Science from The Ohio State University.

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