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◎演講題目： An Optimal Algorithm for Determining Risk Factors for Complex Diseases
◎演講貴賓： 國立台北護理健康大學語言治療與聽力學系 劉介宇 副教授
◎演講日期： 107/11/29
◎演講時間： 13：30
◎演講地點： H604
◎講師簡介：
劉介宇，自幼成長於花蓮市，1995年畢業於國立清華大學數學系應用數學組，1997年畢業於天主教輔仁大學應用統計研究所，於2002年獲得國立交通大學經營管理研究所博士學位後，赴國家衛生研究院生物統計與生物資訊研究組擔任博士後研究員(國防役)以及研究專員(Research Associate)。2007年8月獲聘至國立台北護理健康大學護理學系擔任專任生物統計學教師。研究專長為新藥臨床試驗、藥物經濟學、抽樣設計、時間數列分析以及心理計量分析。曾經擔任過國立台北護理健康大學教師評鑑組組長、總務長，以及台灣藥物經濟與效果學會理事(TaSPOR)，目前任教於國立台北護理健康大學語言治療與聽力學系，擔任專任副教授，同時也是台北市立聯合醫院合聘副研究員。
◎演講摘要：
This study proposed a novel algorithm to investigate the risk factors for complex diseases. We employed the novel algorithm to determine the risk factors for depressive disorder, osteoporosis, and fracture in young patients with breast cancer who were receiving curative surgery. The novel algorithm has three steps. First, multiple correspondence analysis (MCA) is used to transform the raw data set into a multidimensional coordinate matrix. Second, the expectation-maximization (EM) algorithm is used for clustering the multidimensional coordinates for each category of variable. Third, v-fold cross-validation is incorporated into the coordinate matrix obtained using the MCA-EM algorithm to determine the optimal clustering of complex diseases and risk factors. A total of 4108 patients with breast cancer aged 20–39 years were enrolled. The results revealed that depressive
disorder, osteoporosis, and fracture were clustered with liver cirrhosis, chronic obstructive pulmonary disease (COPD), distant metastasis, and primary metastatic and adjuvant therapies, namely, chemotherapy, radiotherapy, tamoxifen, aromatase inhibitors, and trastuzumab. Among the risk factors identified using this novel algorithm, liver cirrhosis and COPD have been rarely mentioned in the literature. In conclusion, the novel algorithm proposed in this study enables physicians and clinicians to
identify risk factors for multiple diseases.
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