Ubi-Liven: A Human-Centric Safe and Secure Framework of Ubiquitous Living Environments for the Elderly

Big data analytics in healthcare: a systematic literature review

“…This theme involves different facets of general awareness of the holistic health and well-being of patients. For instance, prior studies on health awareness discussed health insurance (Chandola, Sukumar, and Schryver 2013), living environment (Jin et al, 2016), and sports behaviour (Tseng et al 2017), among other topics. Chandola, Sukumar, and Schryver (2013) suggested that insurance claims data reveal important insights about the prevalence of fraudulent activities in healthcare.…”

“…Chandola, Sukumar, and Schryver (2013) suggested that insurance claims data reveal important insights about the prevalence of fraudulent activities in healthcare. Jin et al (2016) proposed that cyber technologies can provide a safe and secure living environment for the elderly. Tseng et al (2017) identified that personalised healthcare apps might analyse users' sports patterns and trends of heart rate change during exercise.…”

“…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 …”

“…Moreira et al (2018) identified that an artificial neural network-based approach is an excellent predictor for gestational diabetes mellitus. (Gopal et al 2019); capability enhancement (Wang, Kung, and Byrd 2018); cloud-based infrastructure (Jindal et al 2018); hardware and software stacks (Koliogeorgi et al 2017); intelligent healthcare systems (Ma et al 2018); radial basis function network (Moreira et al 2018); wearable devices (Wu et al 2017); parallel execution of accelerated kernels (Koliogeorgi et al 2017); technology requirements (Jin et al, 2016); algorithms (Chen et al 2017;Forestiero and Papuzzo 2018;Shao et al 2016); architecture (Amirian et al 2017;Boudhir, Ben Ahmed, and Soumaya 2017); schemes (Jindal et al 2018) De Silva et al (2015) suggested that BDA can effectively identify disease patterns in patients. Bravo et al (2018) reported that m-Health services could be used to facilitate continuous monitoring of patients.…”

“…Patients are often key beneficiaries of insights derived from BDA. BDA can aid in providing personalised care to patients by controlling medications (Christensen et al 2018;Wang, Kung, and Byrd 2018), predicting diseases (Tseng et al 2017;Wang, Kung, and Byrd 2018), and supervising patients (Jin et al, 2016;Shao et al 2016). The rapid spread of Covid-19 has threatened to overwhelm health systems across the world, forcing hospitals to defer scheduled surgeries and treatments for an unknown period.…”