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Exercise Exposure Data Preparation for Cancer Research

dc.contributor.authorQiu, Ziyu (Andrea)
dc.contributor.authorYellin, Benjamin James
dc.contributor.chairEstrin, Deborah
dc.contributor.committeeMemberAzenkot, Shiri
dc.date.accessioned2020-08-10T19:48:50Z
dc.date.available2020-08-10T19:48:50Z
dc.date.issued2020-05
dc.description16 pages
dc.description.abstractIn this paper, exercise data from 207 cancer patients at Memorial Sloan Kettering Cancer Center (MSKCC) are cleaned and visualized. Previous research has indicated that increased amounts of physical activity can enhance a person’s ability to fight cancer, but it is still unknown how much exercise is necessary and how these impacts change depending on tumor type. This project provides a pipeline for data cleaning that can be applied to exercise data from a variety of wearable devices and mobile phones and also suggests ways of visualizing this data. These data visualizations could become useful to clinicians and researchers to identify features of exercise that could potentially be most effective in boosting a person’s ability to fight cancer.
dc.identifier.doihttps://doi.org/10.7298/0vwa-xm55
dc.identifier.otherQiu_cornell_0058O_10843
dc.identifier.otherhttp://dissertations.umi.com/cornell:10843
dc.identifier.otherYellin_cornell_0058O_10844
dc.identifier.otherhttp://dissertations.umi.com/cornell:10844
dc.identifier.urihttps://hdl.handle.net/1813/70222
dc.language.isoen
dc.subjectCcncer
dc.subjectdata visualization
dc.subjectexercise data
dc.subjectFitbit
dc.titleExercise Exposure Data Preparation for Cancer Research
dc.typedissertation or thesis
dcterms.licensehttps://hdl.handle.net/1813/59810
thesis.degree.disciplineInformation Science
thesis.degree.grantorCornell University
thesis.degree.levelMaster of Science
thesis.degree.nameM.S., Information Science

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