Technology and Data Science Core

项目总结/摘要 发音功能亢进的预防、诊断和治疗改进临床研究中心 （VHCRC）汇集了一个经验丰富和富有成效的调查人员组成的多学科团队， 一个综合性的研究项目，专注于研究功能亢进的声音障碍。技术 和数据科学核心（技术核心）是VHCRC的关键组成部分，提供中央服务， 相关资源包括采购、安装和维护技术和设备， 马萨诸塞州总医院语音中心（MGH语音中心）和波士顿医疗中心;数据质量 检查和预处理;所有项目的信号/图像处理资源和服务;集中 数据库管理整合所有项目的数据类型;为所有项目提供统计和机器学习服务。 项目;与项目合作者和更广泛的研究社区共享数据。 技术核心主要设在MGH语音中心，包括一个最先进的语音诊所， 语音和言语实验室进行语音功能测试，喉外科研究实验室进行 技术开发和持续的设备维护。技术核心将提供生物统计咨询 专业知识，以VHCRC调查员通过一个子奖项，以卫生保健研究所MGH，特别是 关于纵向数据的分析，潜在概况分析（用于分型的无监督聚类）， 结构方程模型和分层线性模型。技术核心也有一个分奖给麻省理工学院 计算机科学与人工智能实验室提供先进的机器学习服务 （监督分类，无监督聚类和深度学习）VHCRC研究人员。VHCRC 将大于其各部分的总和，因为技术核心将通过集中 劳动密集型数据库组织任务，检索和组织有关标准临床语音的数据 为入组患者提供评估和治疗服务，执行高级语音分析， 通过自动和半自动预处理数千小时的门诊数据， 参与者数据。 技术核心将有效地将所有项目获得的数据类型集成到一个集中的、多维的 语音数据库，将组织，编目，并提供给VHCRC调查员和更广泛的 研究社区。技术核心将及时协调高质量数据的共享， 与行政核心一起，促进所有研究团队之间的定期沟通，以促进 正在进行的研究进展。

Project Summary/Abstract The Clinical Research Center for the Improved Prevention, Diagnosis, and Treatment of Vocal Hyperfunction (VHCRC) brings together a multidisciplinary team of experienced and productive investigators to pursue a comprehensive program of research focused on the study of hyperfunctional voice disorders. The Technology and Data Science Core (Tech Core) is a critical component of the VHCRC and provides central services and resources related to include procurement, setup, and maintenance of technology and equipment at the Massachusetts General Hospital Voice Center (MGH Voice Center) and Boston Medical Center; data quality checks and pre-processing; signal/image processing resources and services for all Projects; centralized database management integrating data types from all Projects; statistical and machine learning services to all Projects; and data sharing with Project collaborators and the broader research community. The Tech Core is primarily housed at the MGH Voice Center and includes a state-of-the-art voice clinic, the Voice and Speech Laboratory for vocal function testing, and the Laryngeal Surgery Research Laboratories for technology development and ongoing device maintenance. The Tech Core will provide biostatistical consulting expertise to VHCRC investigators through a subaward to the MGH Institute of Health Professions, especially with respect to the analysis of longitudinal data, latent profile analysis (unsupervised clustering for subtyping), structural equation modeling, and hierarchical linear modeling. The Tech Core also has a subaward to the MIT Computer Science and Artificial Intelligence Laboratory to provide advanced machine learning services (supervised classification, unsupervised clustering, and deep learning) to VHCRC investigators. The VHCRC will be greater than the sum of its parts because the Tech Core will increase project effectiveness by centralizing labor-intensive database organizational tasks, retrieving and organizing data regarding standard clinical voice assessment and treatment services for enrolled patients, performing advanced voice analysis, and managing data quality through automatic and semi-automatic pre-processing of thousands of hours of ambulatory participant data. The Tech Core will effectively integrate data types obtained by all Projects into a centralized, multidimensional voice database that will be organized, catalogued, and available to VHCRC investigators and the broader research community. The Tech Core will coordinate the sharing of high-quality data in a timely manner and, in conjunction with the Administrative Core, facilitate regular communication among all research teams to stimulate ongoing research progress.