As the range of data types needed to deliver personalized healthcare expands in complexity and size, such an information-centric approach will require systems-level approaches to data, information, and ultimately knowledge management that extend well beyond singular information systems.
Dabo Health, a San Francisco-based startup, is taking a big-data approach to mining that information, saving lives in the process.
Significant research has been done in this paper to provide an efficient approach to performing the data and information processing of collaborative virtual disassembly and assembly operations.
This study provides us an alternative approach to explore the information inherent in AP-MS data.
This paper presents an approach to utilize data drawn from the building information models coupled with a cascading algorithm to efficiently manage the formwork inventory on a construction project by generating a scheduled formwork reuse plan and calculating the minimum quantity of formwork required for the project.
The primary challenge, however, is scaling such approaches to derive structural information for similar data acquired on multiprotein systems.
Rather than increase power and cost by using multiple Sequenom assays to genotype additional SNPs, we used statistical approaches to extract more information from the data available from an existing single SNP assay.
This work on tool condition monitoring delves into data mining approach to discover the hidden information available in the tool vibration signals.
By combining advanced clinical informatics, genome science, and community consultation, eMERGE represents a first step in the development of data-driven approaches to incorporate genomic information into routine healthcare delivery.
Henry brings innovative technologies in the areas of Services Oriented Architecture, Shared Enterprise Services, Cloud Computing, data management, and pragmatic approaches to managing an information assurance program.
