Proceedings of the International Conference on Geoinformatics and Data Analysis 2018
DOI: 10.1145/3220228.3220236
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A new data science framework for analysing and mining geospatial big data

Abstract: Background: Cognitive Muscular TherapyTM (CMT) is an integrated behavioural intervention developed for knee osteoarthritis. CMT teaches patients to reconceptualise the condition, integrates muscle biofeedback and aims to reduce muscle overactivity, both in response to pain and during daily activities. This nested qualitative study explored patient and physiotherapist perspectives and experiences of CMT.Methods: Five physiotherapists were trained to follow a well-defined protocol and then delivered CMT to at le… Show more

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Cited by 5 publications
(4 citation statements)
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“…Real world data are often incomplete, inconsistent, and noisy [18]. The purpose of data cleansing is to improve the quality of data that will be exercised by the data analyst.…”
Section: F Data Cleansingmentioning
confidence: 99%
See 1 more Smart Citation
“…Real world data are often incomplete, inconsistent, and noisy [18]. The purpose of data cleansing is to improve the quality of data that will be exercised by the data analyst.…”
Section: F Data Cleansingmentioning
confidence: 99%
“…Visual analytics combines automated analysis techniques with interactive visualisations for an effective understanding, reasoning and decision making on the basis of very large and complex datasets [18]. A key difference between data mining and visual data exploration is that visual data exploration is a completely human guided process.…”
Section: J Visual Data Explorationmentioning
confidence: 99%
“…Field of data science is a combination of statistic, data mining, machine learning and domain expertise which seeks to provide meaningful information from large amounts of complex datasets [1]. Data science may help decision making in the relevant organisation.…”
Section: Introductionmentioning
confidence: 99%
“…According to the Royal Statistical Society (RSS) in the UK, Data Science is still a cottage industry with small teams of artisan crafting bespoke prototypes to their own standards [2]. Data science projects differ from most traditional data research projects because they could be complex as well as in need of advanced technologies in comparison to the traditional data analysis projects [1]. Data Science is rapidly changing the way that industries operate in many sectors, including the healthcare industry.…”
Section: Introductionmentioning
confidence: 99%