How to improve WEEE management? Novel approach in mobile collection with application of artificial intelligence

Abstract Diagnostic errors are an internationally recognized patient safety concern, and leading causes are faulty data gathering and faulty information processing. Obtaining a full and accurate history from the patient is the foundation for timely and accurate diagnosis. A key concept underlying ideal history acquisition is “history clarification,” meaning that the history is clarified to be depicted as clearly as a video, with the chronology being accurately reproduced. A novel approach is presented to improve history-taking, involving six dimensions: Courtesy, Control, Compassion, Curiosity, Clear mind, and Concentration, the ‘6 C’s’. We report a case that illustrates how the 6C approach can improve diagnosis, especially in relation to artificial intelligence tools that assist with differential diagnosis.

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Improvement of Multiple Generations of Intraocular Lens Calculation Formulae with a Novel Approach Using Artificial Intelligence

Translational Vision Science & Technology ◽

10.1167/tvst.10.3.7 ◽

2021 ◽

Vol 10 (3) ◽

pp. 7

Author(s):

John Ladas ◽

Donna Ladas ◽

Shawn R. Lin ◽

Uday Devgan ◽

Aazim A. Siddiqui ◽

...

Keyword(s):

Artificial Intelligence ◽

Intraocular Lens ◽

Multiple Generations ◽

Novel Approach ◽

Intraocular Lens Calculation

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A Comprehensive Study on Internet of Things Based on Key Artificial Intelligence Technologies and Industry 4.0

Research Anthology on Cross-Industry Challenges of Industry 4.0 ◽

10.4018/978-1-7998-8548-1.ch010 ◽

2021 ◽

pp. 171-191

Author(s):

Banu Çalış Uslu ◽

Seniye Ümit Oktay Fırat

Keyword(s):

Artificial Intelligence ◽

Internet Of Things ◽

Information Exchange ◽

Industry 4.0 ◽

New Technology ◽

Smart Devices ◽

Complex Environments ◽

Novel Approach ◽

Key Technologies ◽

Shed Light

Under uncertainty, understanding and controlling complex environments is only possible with an ability to use distributed computing by the way of information exchange between devices to be able to understand the response of the system to a particular problem. From transformation of raw data in a huge distribution of network into the meaningful information, to use the understood knowledge to make rapid decisions needs to have a network composed of smart devices. Internet of things (IoT) is a novel approach, where these smart devices can communicate with each other by using key technologies of artificial intelligence (AI) in order to make timely autonomous decisions. This emerging technical advancement and realization of horizontal and vertical integration caused the fourth stage of industrialization (Industry 4.0). The objective of this chapter is to give detailed information on both IoT based on key AI technologies and Industry 4.0. It is expected to shed light on new work to be done by providing explanations about the new areas that will emerge with this new technology.

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The Nature of Intelligent Analytics

Advances in Data Mining and Database Management - Intelligent Analytics With Advanced Multi-Industry Applications ◽

10.4018/978-1-7998-4963-6.ch001 ◽

2021 ◽

pp. 1-21

Author(s):

Zhaohao Sun ◽

Andrew Stranieri

Keyword(s):

Artificial Intelligence ◽

Big Data ◽

Research And Development ◽

Business Intelligence ◽

Data Analytics ◽

Data Science ◽

Big Data Analytics ◽

Business Analytics ◽

Novel Approach ◽

Advanced Analytics

Intelligent analytics is an emerging paradigm in the age of big data, analytics, and artificial intelligence (AI). This chapter explores the nature of intelligent analytics. More specifically, this chapter identifies the foundations, cores, and applications of intelligent big data analytics based on the investigation into the state-of-the-art scholars' publications and market analysis of advanced analytics. Then it presents a workflow-based approach to big data analytics and technological foundations for intelligent big data analytics through examining intelligent big data analytics as an integration of AI and big data analytics. The chapter also presents a novel approach to extend intelligent big data analytics to intelligent analytics. The proposed approach in this chapter might facilitate research and development of intelligent analytics, big data analytics, business analytics, business intelligence, AI, and data science.

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