Introduction to cognitive computing and its various applications

Palwe, Sushila; Gunjal, Anita D.

doi:10.1016/b978-0-323-85769-7.00009-4

Cited by 18 publications

(2 citation statements)

References 17 publications

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“…Cognitive computing (Sushila and Anita, 2021) emerges as a cornerstone in the fusion of NLP tools with AI, ushering in a new era of advanced applications within healthcare informatics. This paradigmatic shift transcends traditional rule-based approaches, harnessing the power of machine learning, pattern recognition, and semantic understanding.…”

Section: Cognitive Computing For Advanced Nlp Applicationsmentioning

confidence: 99%

Visualizing Health: Advancing Natural Language Processing Through Data Visualization in Healthcare

Spadacini

2023

IJDSBDA

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This paper explores the transformative integration of Natural Language Processing (NLP) with data visualization in the realm of healthcare informatics. The study encompasses a comprehensive analysis of health data derived from medical documentation, social media, and biological literature. Through advanced computational modeling and machine learning, the research enriches our understanding of linguistic conceptual relationships within complex healthcare narratives. Key findings highlight the impact of data visualization on NLP applications, empowering clinicians with intuitive tools and fostering interdisciplinary collaboration. Ethical considerations and privacy frameworks associated with visualized health data are addressed, contributing to responsible practices. The democratization of health insights emerges as a significant outcome, making visualized data accessible to diverse stakeholders. This paper not only summarizes key findings and contributions but also outlines implications for future research, paving the way for innovation in advanced visualization techniques, cross-disciplinary collaboration, and ethical frameworks within healthcare informatics.

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Section: Cognitive Computing For Advanced Nlp Applicationsmentioning

confidence: 99%

Visualizing Health: Advancing Natural Language Processing Through Data Visualization in Healthcare

Spadacini

2023

IJDSBDA

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“…A slightly more holistic application of AI systems is the example of digital assistants in consumer devices such as Amazon Alexa or Google Assistant, where a system interacts with a user to simulate a conversation or at least respond to questions and offer guidance on a collection (Aghav-Palwe and Gunjal, 2021; Seeger et al, 2021). Such systems combine a range of AI technologies such as speech recognition, recommender systems, natural language processing to deliver an enriched experience for users.…”

Section: Ai Technologiesmentioning

confidence: 99%

Defining artificial intelligence for librarians

Cox

Mazumdar

2022

Journal of Librarianship and Information Science

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The aim of the paper is to define Artificial Intelligence (AI) for librarians by examining general definitions of AI, analysing the umbrella of technologies that make up AI, defining types of use case by area of library operation, and then reflecting on the implications for the profession, including from an equality, diversity and inclusion perspective. The paper is a conceptual piece based on an exploratory literature review, targeting librarians interested in AI from a strategic rather than a technical perspective. Five distinct types of use cases of AI are identified for libraries, each with its own underlying drivers and barriers, and skills demands. They are applications in library back-end processes, in library services, through the creation of communities of data scientists, in data and AI literacy and in user management. Each of the different applications has its own drivers and barriers. It is hard to anticipate the impact on professional work but as information environment becomes more complex it is likely that librarians will continue to have a very important role, especially given AI’s dependence on data. However, there could be some negative impacts on equality, diversity and inclusion if AI skills are not spread widely.

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Cloud, Fog, and Edge Computing for IoT-Enabled Cognitive Buildings

Özdoğan

2022

Internet of Things

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Introduction to cognitive computing and its various applications

Cited by 18 publications

References 17 publications

Visualizing Health: Advancing Natural Language Processing Through Data Visualization in Healthcare

Visualizing Health: Advancing Natural Language Processing Through Data Visualization in Healthcare

Defining artificial intelligence for librarians

Cloud, Fog, and Edge Computing for IoT-Enabled Cognitive Buildings

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