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1 Ergebnisse
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Network Modeling of Complex Time-Dependent Changes in Patie..:
Eileen H. Shinn
;
Brooke E. Busch
;
Neda Jasemi
...
https://www.frontiersin.org/articles/10.3389/fpsyg.2022.856813/full. , 2022
Link:
https://doi.org/10.3389/fpsyg.2022.856813
RT Journal T1 <Title>Network Modeling of Complex Time-Dependent Changes in Patient Adherence to Adjuvant Endocrine Treatment in ER+ Breast Cancer</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:247c6d6a5d2c4e93b515b819de385adc&Exemplar=1&LAN=DE A1 Eileen H. Shinn A1 Brooke E. Busch A1 Neda Jasemi A1 Cole A. Lyman A1 J. Tory Toole A1 Spencer C. Richman A1 William Fraser Symmans A1 Mariana Chavez-MacGregor A1 Susan K. Peterson A1 Gordon Broderick PB Frontiers Media S.A. YR 2022 K1 hormone receptor-positive breast cancer K1 adherence K1 behavioral feedback network K1 computational modeling K1 forecast prediction K1 rescue strategy K1 Psychology K1 BF1-990 JF https://www.frontiersin.org/articles/10.3389/fpsyg.2022.856813/full LK http://dx.doi.org/https://doi.org/10.3389/fpsyg.2022.856813 DO https://doi.org/10.3389/fpsyg.2022.856813 SF ELIB - SuUB Bremen
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