[HTML][HTML] Smartphone-Enhanced Nanozyme Sensors: Colorimetric and Fluorescence Sensing Techniques

T Sahare, N Singh, BN Sahoo, A Joshi - Biosensors and Bioelectronics: X, 2024 - Elsevier
The advent of smartphone technology has changed the biosensing field, especially by
integrating nanozyme-based colorimetric, fluorescence sensing strategy. This review article …

Fusing talent horizons: the transformative role of data integration in modern talent management

AM Asfahani - Discover Sustainability, 2024 - Springer
This study elucidates the transformative influence of data integration on talent management
in the context of evolving technological paradigms, with a specific focus on sustainable …

[HTML][HTML] Looking Back on Digital Medical Education Over the Last 25 Years and Looking to the Future: Narrative Review

O Ogundiya, TJ Rahman, I Valnarov-Boulter… - Journal of Medical …, 2024 - jmir.org
Background The last 25 years have seen enormous progression in digital technologies
across the whole of the health service, including health education. The rapid evolution and …

Industrial data space application framework for semiconductor wafer manufacturing system scheduling

D Chen, J Zhang, L Wu, P Zhang, M Wang - Journal of Manufacturing …, 2024 - Elsevier
The complex, large-scale semiconductor wafer manufacturing generates substantial diverse
data, creating management hurdles and making efficient use of historical scheduling data …

[HTML][HTML] The Use of Machine Learning Models with Optuna in Disease Prediction

LH Lai, YL Lin, YH Liu, JP Lai, WC Yang, HP Hou… - Electronics, 2024 - mdpi.com
Effectively and equitably allocating medical resources, particularly for minority groups, is a
critical issue that warrants further investigation in rural hospitals. Machine learning …

[PDF][PDF] Big Data Analytics in Healthcare: Transforming Information into Actionable Insights

A Tak - Journal of Health Statistics Reports. SRC/JHSR-121 …, 2023 - researchgate.net
This study investigates how enormous information examination can reform the medical care
industry, with a specific accentuation on how it can transform a lot of medical care …

Big data analytics in healthcare: data sources, tools, challenges, and opportunities

M Badawy, N Ramadan, HA Hefny - Journal of Electrical Systems and …, 2024 - Springer
The increasing number of patients with chronic diseases and the concentration of medical
resources have a substantial economic impact, leading to hospital visits, hospital …

[PDF][PDF] A Machine Learning Based Decision Support Framework For Big Data Pipeline Modeling And Design

A Dhaouadi, K Bousselmi, S Monnet… - Jordanian Journal of …, 2024 - researchgate.net
The data warehousing process requires an architectural revolution to settle big-data
challenges and address new data sources, such as social networks, recommendation …

Leveraging Big Data and AI for Predictive Analysis in Insurance Fraud Detection

VR Saddi, S Boddu, B Gnanapa… - 2024 International …, 2024 - ieeexplore.ieee.org
Coverage fraud is a massive trouble that affects the enterprise and may have disastrous
results for clients. It can come in many shapes, from fake claims to abuse of loopholes in …

Efficient detection of data entry errors in large-scale public health surveys: an unsupervised machine learning approach

A Sau, S Phadikar, I Bhakta - Discover Public Health, 2024 - Springer
Data entry errors in large-scale public health surveys can undermine the effectiveness of
data-driven interventions. Therefore, identifying these data entry errors is crucial for public …