The following represents disclosure information provided by authors of this abstract. The program committee has reviewed all presenting author disclosure reports, identified potential conflicts of interest, and implemented strategies to manage those areas of conflict, where appropriate. All relationships are considered compensated. Relationships are self-held unless otherwise noted. I = Immediate Family Member, Inst = My Institution
 
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Predicting the risk of VISIT emergency department (ED) in lung cancer patients using machine learning.
 
Pablo Rodriguez-Brazzarola
No Relationships to Disclose
 
Nuria Ribelles
Research Funding - Pfizer (Inst)
 
Jose Manuel Jerez
No Relationships to Disclose
 
Jose Trigo
Consulting or Advisory Role - Bristol-Myers Squibb; Eisai; MSD; Takeda
Speakers' Bureau - AstraZeneca; Bayer; Eisai; MSD
 
Manuel Cobo
No Relationships to Disclose
 
Inmaculada Ramos Garcia
Consulting or Advisory Role - AstraZeneca Spain; Boehringer Ingelheim; Roche; Takeda
Speakers' Bureau - Bristol-Myers Squibb; Roche
Travel, Accommodations, Expenses - Roche
 
M Vanesa Gutierrez Calderon
No Relationships to Disclose
 
Jose Luis Subirats
No Relationships to Disclose
 
Ana María Galeote Miguel
Travel, Accommodations, Expenses - Kyowa Hakko Kirin; MSD Oncology; Pfizer
 
Hector Mesa
No Relationships to Disclose
 
Laura Galvez Carvajal
No Relationships to Disclose
 
Leo Franco
No Relationships to Disclose
 
Begoña Jimenez Rodriguez
No Relationships to Disclose
 
Ana Godoy
Speakers' Bureau - Roche
 
Sofía Ruíz
No Relationships to Disclose
 
Andres Mesas
No Relationships to Disclose
 
Marcos Iglesias Campos
Travel, Accommodations, Expenses - MSD; Roche
 
Irene López
No Relationships to Disclose
 
Antonio Rueda Dominguez
Honoraria - Bristol-Myers Squibb; Merck Serono; Roche
Consulting or Advisory Role - Bristol-Myers Squibb; Merck Serono; MSD; Novartis; Roche; Takeda
 
Emilio Alba
Consulting or Advisory Role - Bristol-Myers Squibb; Genomic Health; Lilly; NanoString Technologies; Novartis; Pfizer; Roche
Travel, Accommodations, Expenses - Merck Sharp & Dohme