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Outcome-Driven Personalized Treatment Design for Managing Diabetes

Eva K. Lee et al.

INFORMS Journal on Applied Analytics2018https://doi.org/10.1287/inte.2018.0964article
AJG 2ABDC B
Weight
0.45

What the paper says

The authors developed a model that incorporates two mathematical innovations for designing a personalized treatment plan tailored specifically to a diabetes patient’s unique dose-effect characteristics.

16 citations

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https://doi.org/https://doi.org/10.1287/inte.2018.0964

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@article{eva2018,
  title        = {{Outcome-Driven Personalized Treatment Design for Managing Diabetes}},
  author       = {Eva K. Lee et al.},
  journal      = {INFORMS Journal on Applied Analytics},
  year         = {2018},
  doi          = {https://doi.org/https://doi.org/10.1287/inte.2018.0964},
}

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Outcome-Driven Personalized Treatment Design for Managing Diabetes

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Evidence weight

0.45

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.28 × 0.4 = 0.11
M · momentum0.78 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.