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A Morphology-Driven Method for Measuring Technology Complementarity: Empirical Study Involving Alzheimer's Disease Cover

A Morphology-Driven Method for Measuring Technology Complementarity: Empirical Study Involving Alzheimer's Disease

Open Access
|Aug 2022

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DOI: https://doi.org/10.2478/jdis-2022-0017 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 20 - 48
Submitted on: Feb 18, 2022
Accepted on: Jun 2, 2022
Published on: Aug 12, 2022
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Xuefeng Wang, Rongrong Li, Yuqin Liu, Ming Lei, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.