Deep-learning-based personalized prediction of absolute neutrophil count recovery and comparison with clinicians for validation-Reference-Cited by-同舟云学术

Deep-learning-based personalized prediction of absolute neutrophil count recovery and comparison with clinicians for validation

Published:2023-01 Issue: Volume:137 Page:104268
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Choo Hyunwoo,Yoo Su Young,Moon Suhyeon,Park Minsu,Lee Jiwon,Sung Ki Woong,Cha Won Chul,Shin Soo-Yong,Son Meong Hi

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference31 articles.

1. Chemotherapy-induced neutropenia: risks, consequences, and new directions for its management;Crawford;Cancer,2004

2. Common terminology criteria for adverse events (CTCAE), Cancer.gov. https://ctep.cancer.gov/protocoldevelopment/electronic_applications/docs/CTCAE_v5_Quick_Reference_8.5x11.pdf, 2021 (accessed 7 May 2021).

3. Treatment of fever in neutropenia in pediatric oncology patients;Lehrnbecher;Curr. Opin. Pediatr.,2019

4. Model of chemotherapy-induced myelosuppression with parameter consistency across drugs;Friberg;J. Clin. Oncol.,2002

5. A Mathematical model of granulopoiesis incorporating the negative feedback dynamics and kinetics of G-CSF/neutrophil binding and internalization;Craig;Bull. Math. Biol.,2016

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