Identifying Patients with Familial Chylomicronemia Syndrome Using FCS Score-Based Data Mining Methods

MLA

UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique, et al. “Identifying Patients with Familial Chylomicronemia Syndrome Using FCS Score-Based Data Mining Methods.” Journal of Clinical Medicine, Vol. 11, No.15, p. 4311 (2022), 2022. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1372950325&authtype=sso&custid=ns315887.

APA

UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique, Németh, A., Harangi, M., Daroczy, B. Z., Juhász, L., Paragh, G., & Fülöp, P. (2022). Identifying Patients with Familial Chylomicronemia Syndrome Using FCS Score-Based Data Mining Methods. Journal of Clinical Medicine, Vol. 11, No.15, p. 4311 (2022).

Chicago

UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique, Ákos Németh, Mariann Harangi, Balint Zoltan Daroczy, Lilla Juhász, György Paragh, and Péter Fülöp. 2022. “Identifying Patients with Familial Chylomicronemia Syndrome Using FCS Score-Based Data Mining Methods.” Journal of Clinical Medicine, Vol. 11, No.15, p. 4311 (2022). http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1372950325&authtype=sso&custid=ns315887.