| We are pleased to announce our upcoming webinar in March 2026. Dr. Ying Cui from Stanford University will give a talk at 7pm (ET) on March 25 (Wednesday). Please use the link below to register for the KISS webinar. The webinar title and abstract are as follows. Date/Time: 7pm – 8pm ET (6pm – 7pm CT; 4pm – 5pm PT) on March 25 Registration link: https://yonsei.zoom.us/meeting/register/ftRKhZ04R6iAKwXgKdqUHg If the link does not open when clicked, please copy and paste it into your browser’s address bar. Registration is required for this meeting. After registering, you will receive a confirmation email containing information about joining the meeting. Speaker: Ying Cui fromStanford University Title: Dynamic Decision Making with Individualized Variable Selection Abstract: Physicians today have access to a variety of tests for diagnosing and prognosticating medical conditions. Ideally, they would apply a high-quality prediction model utilizing all relevant features to facilitate appropriate decision-making (e.g., treatment selection; risk assessment). However, some of these features incur additional costs and are not readily available to patients and physicians. In practice, predictors are typically gathered sequentially, i.e., physicians continually evaluate information dynamically until sufficient information is acquired to make a reasonable confidence decision. More importantly, the prospective information to collect may differ for each patient and depend on the predictor values already known. In this paper, we design a novel adaptive prediction rule to determine the optimal order of acquiring features in predicting a clinical outcome of interest. The objective is to maximize prediction accuracy while minimizing the cost associated with measuring features for individual subjects. To achieve this, we employ reinforcement learning, where the agent decides the best action at each step: either making a final clinical decision or continuing to collect new predictors based on the current state of knowledge. Extensive simulation studies have been conducted to evaluate the efficacy of the proposed strategy. Additionally, real examples are presented to illustrate the practical utility. I am looking forward to seeing you all! Best regards, Jeong Hoon Jang KISS Program Chair Elect |
