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 persistent fever in patients with cancer using machine learning.
 
Christopher Martin Sauer
Stock and Other Ownership Interests - Bayer; MorphoSys
Honoraria - Bristol Myers Squibb Foundation
Travel, Accommodations, Expenses - Gilead Sciences
 
Alexander Brehmer
No Relationships to Disclose
 
Till Rostalski
No Relationships to Disclose
 
Martin H. Schuler
Honoraria - Amgen; Bristol-Myers Squibb; GlaxoSmithKline; Janssen-Cilag; MSD; Roche; Sanofi
Consulting or Advisory Role - Amgen; AstraZeneca; Boehringer Ingelheim; Bristol-Myers Squibb; GlaxoSmithKline; Janssen Oncology; MSD; Novartis; Roche; Sanofi; Tacalyx
Research Funding - AstraZeneca (Inst); Bristol-Myers Squibb (Inst); Janssen (Inst)
Patents, Royalties, Other Intellectual Property - Highly sensitive method for mutation detection by PCR (Inst)
 
Felix Nensa
Stock and Other Ownership Interests - Elixion Medical GmbH; Firemetrics GmbH
 
Hans Christian Reinhardt
Honoraria - Abbvie; Novartis; Roche
Speakers' Bureau - Abbvie; Roche
Research Funding - AstraZeneca; Gilead Sciences
Travel, Accommodations, Expenses - Abbvie
 
Jens Kleesiek
No Relationships to Disclose
 
Gernot Pucher
No Relationships to Disclose