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A parallel patient treatment time prediction algorithm and its applications in hospital queuing-recommendation in a big data environment
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Effective patient queue management to minimize patient wait delays and patient overcrowding is one of the major challenges faced by hospitals. Unnecessary and annoying waits for long periods result in substantial human ...
Big data analytics: does organizational factor matters impact technology acceptance?
(
SpringerOpen
, 2017 , Article)
Ever since the emergence of big data concept, researchers have started applying the concept to various fields and tried to assess the level of acceptance of it with renown models like technology acceptance model (TAM) and ...
Big data velocity management-from stream to warehouse via high performance memory optimized index join
(
IEEE
, 2020 , Article)
Efficient resource optimization is critical to manage the velocity and volume of real-time streaming data in near-real-time data warehousing and business intelligence. This article presents a memory optimisation algorithm ...
A comprehensive analysis of healthcare big data management, analytics and scientific programming
(
IEEE
, 2020 , Article)
Healthcare systems are transformed digitally with the help of medical technology, information systems, electronic medical records, wearable and smart devices, and handheld devices. The advancement in the medical big data, ...
Deep and transfer learning for building occupancy detection: A review and comparative analysis
(
Elsevier
, 2022 , Short Survey)
The building internet of things (BIoT) is quite a promising concept for curtailing energy consumption, reducing costs, and promoting building transformation. Besides, integrating artificial intelligence (AI) into the BIoT ...