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<span style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue; display: inline !important">This is an announcement of Chao-Chun Hsu's Candidacy Exam.</span><br style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue">
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<span style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue; display: inline !important">Candidate: Chao-Chun Hsu</span><br style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue">
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<span style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue; display: inline !important">Date: Thursday, December 07, 2023</span><br style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue">
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<span style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue; display: inline !important">Time: </span><span dir="ltr" style="caret-color: rgb(0, 0, 0); color: currentcolor; font-family: -apple-system, HelveticaNeue; text-decoration-color: rgb(0, 120, 212) !important">1
pm CST</span><br style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue">
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<span style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue; display: inline !important">Remote Location: </span><a href="https://urldefense.com/v3/__https://uchicago.zoom.us/j/7554197922?pwd=UXpHQXJ5ZDFJWExmSldMdVZDRHpyQT09__;!!BpyFHLRN4TMTrA!7lyD77oIhpw0Tu7Hw6s0E3VylYuJC-pvQ2fPg0F3lus7zt_AXzB160hMj0cL_XdecdmDF_a_y5dN7600MIj00TSbvtImKmj3GLQT$" data-outlook-id="9c3e75c8-93fa-48da-b90f-40d591b1908e" data-linkindex="0" style="font-family: -apple-system, HelveticaNeue">https://uchicago.zoom.us/j/7554197922?pwd=UXpHQXJ5ZDFJWExmSldMdVZDRHpyQT09</a><br style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue">
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<span style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue; display: inline !important">Location: JCL 390</span><br style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue">
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<span style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue; display: inline !important">Title: Understand and Improving Human Decision Making Through Texts</span><br style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue">
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<span style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue; display: inline !important">Abstract: Reading human-written texts allows us to understand complex ideas and experiences. For example, physician notes tell us about the patient's
history, and restaurant reviews reflect the customers' experience. However, given the large volume of text on certain topics, it becomes impossible to thoroughly evaluate all documents and construct a comprehensive understanding. This challenge opens up
an interesting question: Can we construct useful summaries to support prediction and decision-making by selectively focusing on the most informative content?</span><br style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue">
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<span style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue; display: inline !important">In the first part of this proposal, I use clinical outcome prediction tasks using clinical notes from MIMIC-III to demonstrate that not all notes
are necessary for accurate outcome prediction by characterizing the value of information contained in the clinical notes.</span><br style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue">
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<span style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue; display: inline !important">In the second part, I propose a novel extractive summarization method called decision-focused summarization. This method aims to extract the most
relevant information from source documents to support human decision-making, using future rating prediction from Yelp restaurant reviews as a testbed.</span><br style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue">
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<span style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue; display: inline !important">Advisors: Chenhao Tan</span><br style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue">
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<span style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue; display: inline !important">Committee Members: Chenhao Tan, Mina Lee, Ziad Obermeyer</span><br style="caret-color: rgb(33, 33, 33); font-family: -apple-system, HelveticaNeue">
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