Assessing and predicting health science projects and collaboration

更好的健康始于更快的研究。作为合作公司，Healthwizer提供自动化软件和信息解决方案，通过自动化生命科学研发生态系统中的繁琐流程，克服商业化障碍，解决研究人员、科学家和行业领军者所经历的痛苦，通过将具有成本效益的自动化解决方案与现有产品集成，填补机构运营空白，并合成和传播医疗保健、生命科学、研究和教育机构。本项目拟构建一个评估科研与协作质量、衡量科研人员影响力、知识动员与协作以及预测科研项目成功率的算法。期望本文的研究能为性能分析预测理论和实际应用带来重大贡献。创新在于两点

Better health starts with faster research. The collaborating company, Healthwizer provides automation software and information solutions to overcome barriers to commercialization and address pains experienced by researchers, scientists and industry champions by automating tedious processes within the life sciences research and development ecosystem, plugging institution operational gaps by integrating cost-effective automation solutions with extant offerings and synthesizing and disseminating information for healthcare, life science, research and educational institutions. This project is proposed to build an algorithm to assess quality of research and collaboration, measure researcher impact, knowledge mobilization and collaboration and predict research project success rate. It is expected that the proposed research will bring significant contributions to both performance analysis and prediction theory and real life applications. The innovation lies in two