Structural Degradation Modeling Framework for Sparse Data Sets With an Application on Alzheimer’s Disease

Big data analytics in healthcare: a systematic literature review

“…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.…”

“…identified that cellular network optimisation for outpatients might predict serious medical conditions Agnihothri et al (2015). suggested that process innovation and efficient scheduling are keys to addressing bottlenecks in healthcare service delivery.Specific medical conditions.This theme includes studies that discuss specific medical conditions, such as Alzheimer's disease(Chehade and Liu 2019), cancer(Boudhir, Ben Ahmed, and Soumaya 2017), and diabetes(De Silva et al 2015). Chehade and Liu…”

Challenges and opportunities of big data analytics in healthcare

“…Integrated technology in healthcare promotes both the growth of big data and the dissemination of the benefits of BDA to the appropriate beneficiaries. The research on BDA in healthcare places a lot of emphases on the use of ancillary support technologies including big data platforms [ 24 , 25 ], cloud storage [ 26 , 27 ], and smartphone‐based interfaces [ 28 , 29 ].…”