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 …

Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and …

SS Joudar, AS Albahri, RA Hamid, IA Zahid… - Artificial Intelligence …, 2023 - Springer
The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …

Novel technical and privacy-preserving technology for artificial intelligence in ophthalmology

JS Lim, M Hong, WST Lam, Z Zhang… - Current opinion in …, 2022 - journals.lww.com
AI-applications have vast potential to meet many eyecare needs, consequently reducing
burden on scarce healthcare resources. A pertinent challenge would be to maintain data …

Automated Scoring of Clinical Patient Notes using Advanced NLP and Pseudo Labeling

J Xu, Y Jiang, B Yuan, S Li… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Clinical patient notes are critical for documenting patient interactions, diagnoses, and
treatment plans in medical practice. Ensuring accurate evaluation of these notes is essential …

Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records

M Zhao, J Havrilla, J Peng, M Drye, M Fecher… - Journal of …, 2022 - Springer
Background Autism spectrum disorder (ASD) is a complex neurodevelopmental condition
characterized by restricted, repetitive behavior, and impaired social communication and …

Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype …

J Peng, D Xu, R Lee, S Xu, Y Zhou, K Wang - BMC Medical Informatics and …, 2022 - Springer
Abstract Background Knowledges graphs (KGs) serve as a convenient framework for
structuring knowledge. A number of computational methods have been developed to …

[HTML][HTML] Deciphering the diversity of mental models in neurodevelopmental disorders: Knowledge graph representation of public data using natural language …

M Kaur, J Costello, E Willis, K Kelm… - Journal of Medical …, 2022 - jmir.org
Background Understanding how individuals think about a topic, known as the mental model,
can significantly improve communication, especially in the medical domain where emotions …

Scalable information extraction from free text electronic health records using large language models

B Gu, V Shao, Z Liao, V Carducci, S Romero-Brufau… - medRxiv, 2024 - medrxiv.org
Background: A vast amount of potentially useful information such as description of patient
symptoms, family, and social history is recorded as free-text notes in electronic health …

BATRACIO: BAsic, TRAnslational, Clinical, research phase identification in bIOmedical publications

N Durán-Silva, J Carrillo-de-Albornoz, L Plaza… - IEEE …, 2024 - ieeexplore.ieee.org
The increasing interest from research agencies, governments, and universities in
understanding research funding and prioritising research efforts has highlighted the need for …

[HTML][HTML] Innovative agricultural ontology construction using NLP methodologies and graph neural network

KS Saravanan, V Bhagavathiappan - Engineering Science and Technology …, 2024 - Elsevier
Advancements in technology brought various innovations to agricultural practices. As a part
of the development, establishing an agricultural ontology would unleash the growth of cross …