BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Biomedical Mathematics Group - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20220101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20230127T110000
DTEND;TZID=Asia/Seoul:20230127T130000
DTSTAMP:20260426T064233
CREATED:20221227T081814Z
LAST-MODIFIED:20230126T010049Z
UID:7180-1674817200-1674824400@www.ibs.re.kr
SUMMARY:Seokjoo Chae\, Optimal information networks: Application for data-driven integrated health in populations
DESCRIPTION:We will discuss about “Optimal information networks: Application for data-driven integrated health in populations”\, Servadio\, Joseph L.\, and Matteo Convertino\, Science Advances 4.2 (2018): e1701088. \nAbstract \n\n\n\nDevelopment of composite indicators for integrated health in populations typically relies on a priori assumptions rather than model-free\, data-driven evidence. Traditional variable selection processes tend not to consider relatedness and redundancy among variables\, instead considering only individual correlations. In addition\, a unified method for assessing integrated health statuses of populations is lacking\, making systematic comparison among populations impossible. We propose the use of maximum entropy networks (MENets) that use transfer entropy to assess interrelatedness among selected variables considered for inclusion in a composite indicator. We also define optimal information networks (OINs) that are scale-invariant MENets\, which use the information in constructed networks for optimal decision-making. Health outcome data from multiple cities in the United States are applied to this method to create a systemic health indicator\, representing integrated health in a city.
URL:https://www.ibs.re.kr/bimag/event/2023-01-27-jc/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
END:VCALENDAR