Demystifying the role of natural language processing (NLP) in smart city applications: background, motivation, recent advances, and future research directions

N Tyagi, B Bhushan - Wireless Personal Communications, 2023 - Springer
Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …

The role of llms in sustainable smart cities: Applications, challenges, and future directions

A Ullah, G Qi, S Hussain, I Ullah, Z Ali - arXiv preprint arXiv:2402.14596, 2024 - arxiv.org
Smart cities stand as pivotal components in the ongoing pursuit of elevating urban living
standards, facilitating the rapid expansion of urban areas while efficiently managing …

The Untapped Potential of Nursing and Allied Health Data for Improved Representation of Social Determinants of Health and Intersectionality in Artificial Intelligence …

CE Ronquillo, J Mitchell, D Alhuwail… - Yearbook of medical …, 2022 - thieme-connect.com
Objectives: The objective of this paper is to draw attention to the currently underused
potential of clinical documentation by nursing and allied health professions to improve the …

Natural language processing to identify case factors in child protection court proceedings

B Coulthard, BJ Taylor - Methodological Innovations, 2022 - journals.sagepub.com
Social work case files hold rich detail about the lives and needs of vulnerable groups.
Traditional case-reading studies to gain generalisable knowledge are resource-intensive …

Finding social need-les in a haystack: ascertaining social needs of Medicare patients recorded in the notes of care managers

PR Shafer, A Davis, JA Clark - BMC Health Services Research, 2023 - Springer
Background Unmet social needs may impair health and access to health care, and
intervening on these holds particular promise in high-risk patient populations, such as those …

Functions, Utilities and Limitations: A Scoping Study of Decision Support Algorithms in Social Work

CB Jacobi, M Christensen - Journal of Evidence-Based Social Work, 2023 - Taylor & Francis
Purpose This scoping study aims to provide an overview of the functions, utilities and
limitations of applying “decision support algorithms”(DSAs) in different social work contexts …

Community integration after spinal cord injury rehabilitation: Predictors and causal mediators

A García-Rudolph, H Cusso, C Carbonell… - The Journal of Spinal …, 2024 - Taylor & Francis
Context/Objective: Community integration (CI) is a crucial rehabilitation goal after spinal cord
injury (SCI). There is a pressing need to enhance our understanding of the factors …

Considering a Unified Model of Artificial Intelligence Enhanced Social Work: A Systematic Review

M Garkisch, L Goldkind - Journal of Human Rights and Social Work, 2024 - Springer
Social work, as a human rights–based profession, is globally recognized as a profession
committed to enhancing human well-being and helping meet the basic needs of all people …

The effect of natural language processing on the analysis of unstructured text: A systematic review

WL Roldan-Baluis, NA Zapata… - International Journal of …, 2022 - search.proquest.com
The analysis of the unstructured text has become a challenge for the community dedicated
to natural language processing (NLP) and Machine Learning (ML). This paper aims to …

In the Echoes of Tomorrow: The Intersection of Social Work and Artificial Intelligence Through the Eyes of Turkish Students

B Tulğan, MD Pak Güre - Journal of Social Service Research, 2024 - Taylor & Francis
This study aimed to examine social work students' perspectives on the impact of artificial
intelligence (AI) on social work. This research was prepared with a qualitative design to …