P2‐227: AD STAGE CLASSIFICATION USING INTEGRATED EEG‐FNIRS FEATURES: MACHINE LEARNING APPROACHES

P2-227 AD STAGE CLASSIFICATION USING INTEGRATED EEG-FNIRS FEATURES: MACHINE LEARNING APPROACHES Jeonghwan Gwak, Thi Kieu Khanh Ho, Cheolbin Park, Kyu Yeong Choi, Byeong C. Kim, Jong-In Song, Kun Ho Lee, Biomedical Research Institute and Department of Radiology, Seoul National University Hospital, Seoul, Republic of South Korea; Gwangju Institute of Science and Technology, Gwangju, Republic of South Korea; School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of South Korea; National Research Center for Dementia, Chosun University, Gwangju, Republic of South Korea; Department of Premedics, ChosunUniversity, Gwangju, Republic of South Korea; Chonnam National University Medical School, Gwangju, Republic of South Korea; Department of Neurology, Chonnam National University Medical School, Gwangju, Republic of South Korea; National Research Centre for Dementia, Gwangju, Republic of South Korea; College of Natural Sciences, Chosun University, Gwangju, Republic of South Korea; Department of Life Sciences, Chosun University, Gwangju, Republic of South Korea; Department of Biomedical Science, Chosun University, Gwangju, Republic of South Korea. Contact e-mail: james.han. [email protected]