Predicting the risk of readmission of diabetic patients using MapReduce

Big data analytics in healthcare: a systematic literature review

“…This theme discusses how BDA can aid healthcare organisations to formulate sustainable business strategies, for example, capability development (Austin and Kusumoto 2016), resource allocation (Gowsalya, Krushitha, and Valliyammai 2014), and profit enhancement for healthcare organisations (Wang, Kung, and Byrd 2018). Austin and Kusumoto (2016) confirmed that the application of BDA has the potential to improve healthcare services.…”

“…Customised patient care facilitated by BDA has the potential to provide rapid relief (Salomi and Balamurugan 2016) and reduce readmission rates in hospitals (Gowsalya, Krushitha, and Valliyammai 2014).…”

“…Summary of findings of reviewed studies. (Chandola, Sukumar, and Schryver 2013); integrating techniques (Cheng, Kuo, and Zhou 2018); insights from sociodemographic data (Amirian et al 2017;Narayanan and Greco 2016); insurance claims (Chandola, Sukumar, and Schryver 2013); fraud identification (Chandola, Sukumar, and Schryver 2013); structural degradation modelling (Chehade and Liu 2019); macro-level phenomena (Cheng, Kuo, and Zhou 2018); public-health policy (Christensen et al 2018); social welfare policies (Wu et al 2016) Disease prediction Serious medical conditions (Chen et al 2017;Hadi et al 2019;Yasin and Rao 2018); gestational diabetes mellitus (Moreira et al 2018); diabetes (George, Chacko, and Kurien 2019;Gowsalya, Krushitha, and Valliyammai 2014); disease patterns (De Silva et al 2015); efficient risk profiling (Lin et al 2017); diagnostic frameworks (Babar et al 2016); prediction models (Manogaran et al 2018); prioritising individuals (Ozminkowski et al 2015;Sabharwal, Gupta, and Thirunavukkarasu 2016); personalised healthcare apps (Tseng et al 2017); patient monitoring (Christensen et al 2018;Sabharwal, Gupta, and Thirunavukkarasu 2016); disease-based monitoring systems (Bravo et al 2018); real-time assessment in m-Health (Bravo et al 2018); secure living environment for elderly (Jin et al, 2016) Strategy formulation BDA-based capabilities (Austin and Kusumoto 2016); investment in BDA (Sabharwal, Gupta, and Thirunavukkarasu 2016); efficient resource allocation (Gowsalya, Krushitha, and Valliyammai 2014); knowledge management …”

“…Austin and Kusumoto (2016) confirmed that the application of BDA has the potential to improve healthcare services. Gowsalya et al (2014) highlighted how data-driven decision making facilitates efficient resource allocation in healthcare. Wang, Kung, and Byrd (2018) suggested that BDA could deliver business benefits to healthcare organisations that follow strategic approaches.…”

“…Integrated technologies in healthcare play a holistic role in the accumulation of big data and delivering the benefits of BDA to appropriate beneficiaries. The literature on BDA in healthcare attributes great importance to the use of peripheral support technologies, such as big data platforms (Gowsalya, Krushitha, and Valliyammai 2014;Manogaran et al 2018), cloud storage (Chehade and Liu 2019;Kuo et al 2015), and smartphone-based interfaces (Li et al 2015;Wu et al 2016). Therefore, healthcare administrators often view the integration of state-of-the-art technologies as a critical part of organisational value chains.…”