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 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome data.
 
Chris Sidey-Gibbons
No Relationships to Disclose
 
Charlotte C. Sun
Stock and Other Ownership Interests - Inform Genomics (I)
Research Funding - AstraZeneca
 
Cai Xu
No Relationships to Disclose
 
Amy Schneider
Stock and Other Ownership Interests - AstraZeneca
Research Funding - AstraZeneca
 
Sheng-Chieh Lu
No Relationships to Disclose
 
Ishwaria Mohan Subbiah
Consulting or Advisory Role - MedImmune (I)
Research Funding - Abbvie (I); Amgen (I); Bayer (I); Blueprint Medicines (I); Celgene (I); Exelixis (I); Fujifilm (I); GlaxoSmithKline (I); Incyte (I); Loxo (I); Multivir (I); NanoCarrier (I); Northwest Biotherapeutics (I); Novartis (I); Pfizer (I); Takeda (I)
Travel, Accommodations, Expenses - Bayer (I); MedImmune (I); Novartis (I); PharmaMar (I)
 
Alexi A. Wright
Consulting or Advisory Role - GlaxoSmithKline
Research Funding - NCCN/AstraZeneca (Inst)
 
Larissa Meyer
Employment - Gulf Coast Vascular Partners (I)
Stock and Other Ownership Interests - Bristol-Myers Squibb; crispr therapeutics; InVitae
Consulting or Advisory Role - Curio Science; GlaxoSmithKline; OncLive
Research Funding - AstraZeneca