Abstract
Big data is widely seen as a major opportunity for progress in the practice of personalized medicine, attracting the attention of medical societies and presidential teams alike as it offers a unique opportunity to enlarge the base of evidence, especially for older cancer patients underrepresented in clinical trials. The methodology to access such data for research and clinical practice is evolving rapidly. In this chapter, the authors share their experience using such data for research and clinical practice. We review key principles in managing and searching such health and research informatics databases. We share methods to conduct research in the basic and translational sciences, clinical research, and personalized medicine for older cancer patients.
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Extermann, M., Williams, V.L., Walko, C., Xiong, Y. (2020). Research Methods: Using Big Data in Geriatric Oncology. In: Extermann, M. (eds) Geriatric Oncology . Springer, Cham. https://doi.org/10.1007/978-3-319-57415-8_2
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DOI: https://doi.org/10.1007/978-3-319-57415-8_2
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