Assessing and predicting health science projects and collaboration

更好的健康始于更快的研究。Healthwizer是一家合作公司，提供自动化软件和信息解决方案，以克服商业化障碍，并通过自动化生命科学研发生态系统中的繁琐过程，填补机构运营缺口，为医疗保健、生命科学、研究和教育机构合成和传播信息，从而克服商业化障碍和解决研究人员、科学家和行业冠军经历的痛苦。这个项目的目的是建立一个算法来评估研究和合作的质量，衡量研究人员的影响，知识动员和合作，并预测研究项目的成功率。期望所提出的研究将为性能分析和预测理论以及实际应用带来重大贡献。创新之处在于两个方面

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