Projects: cran: AdhereR

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/AdhereR

Adherence to Medications
12 versions
Latest release: almost 4 years ago
1 dependent package
586 downloads last month

Enhanced Analysis
Repository Activity:
Repository Owner: Dan Dediu (user)
Software developer turned linguist, working mostly on understanding language evolution and linguistic diversity using databases, statistics and experiments.
Science Score: 75/100
Starting Score: 100 points
Penalties:
  • -15 No science keywords
    No scientific terms found in keywords/classifiers
  • -10 No science terms in description
    No scientific terms found in description

Very Likely Science (75)

Papers Mentioning AdhereR 5

10.7717/peerj-cs.520
<i>dxpr</i>: an R package for generating analysis-ready data from electronic health records—diagnoses and procedures
Cited by: 2
Author(s): Yi-Ju Tseng, Hsiang Ju Chiu, Chun Ju Chen
Software Mentions: 6
Published: about 5 years ago
10.3389/fphar.2019.00383
Beyond Adherence Thresholds: A Simulation Study of the Optimal Classification of Longitudinal Adherence Trajectories From Medication Refill Histories
Cited by: 12
Author(s): Samuel Allemann, Dan Dediu, Alexandra Dima
Software Mentions: 4
Published: about 7 years ago
10.1371/journal.pone.0174426
Computation of adherence to medication and visualization of medication histories in R with AdhereR: Towards transparent and reproducible use of electronic healthcare data
Cited by: 53
Author(s): Alexandra Dima, Dan Dediu
Software Mentions: 2
Published: about 9 years ago
10.1186/s40814-020-00762-3
A non-randomised pilot study of the Solutions for Medication Adherence Problems (S-MAP) intervention in community pharmacies to support older adults adhere to multiple medications
Cited by: 9
Author(s): Deborah Patton, Christina Pearce, Martin Cartwright, Felicity Smith, Cathal Cadogan, Cristí­n Ryan, Ella Clark, Jill J Francis, Carmel Hughes
Software Mentions: 1
Published: over 5 years ago
10.1002/edm2.245
Compared to commercially insured patients, Medicare advantage patients adopt newer diabetes drugs more slowly and adhere to them less
Cited by: 0
Author(s): James Flory, Jing Li, Ghadeer K. Dawwas, Charles E. Leonard
Software Mentions: 1
Published: about 5 years ago