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Economics of gastroenteropancreatic neuroendocrine tumors: a systematic review.

Enrique GrandeÁngel DíazCarlos LópezJavier MunarrizJuan-José ReinaRuth VeraBeatriz BernárdezJavier AllerJaume CapdevilaRocio Garcia-CarboneroPaula Jimenez FonsecaMarta Trapero-Bertran
Published in: Therapeutic advances in endocrinology and metabolism (2019)
There is a lack of data related to resource utilization in the field of GEP-NETs. Therefore, cost-effectiveness and budget impact studies of existing and emerging treatments are urgently needed to help the decision-making process for patients with NETs.
Keyphrases
  • neuroendocrine tumors
  • decision making
  • electronic health record
  • big data
  • case control
  • machine learning
  • artificial intelligence
  • deep learning
  • drug induced