[HTML][HTML] Recent advancements in emerging technologies for healthcare management systems: a survey
In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and
Blockchain technologies have quickly gained pace as a new study niche in numerous …
Blockchain technologies have quickly gained pace as a new study niche in numerous …
Recent advances of utilizing artificial intelligence in lab on a chip for diagnosis and treatment
Nowadays, artificial intelligence (AI) creates numerous promising opportunities in the life
sciences. AI methods can be significantly advantageous for analyzing the massive datasets …
sciences. AI methods can be significantly advantageous for analyzing the massive datasets …
[HTML][HTML] Analysis of deep learning techniques for dental informatics: a systematic literature review
Within the ever-growing healthcare industry, dental informatics is a burgeoning field of study.
One of the major obstacles to the health care system's transformation is obtaining …
One of the major obstacles to the health care system's transformation is obtaining …
[HTML][HTML] Reviewing multimodal machine learning and its use in cardiovascular diseases detection
Machine Learning (ML) and Deep Learning (DL) are derivatives of Artificial Intelligence (AI)
that have already demonstrated their effectiveness in a variety of domains, including …
that have already demonstrated their effectiveness in a variety of domains, including …
[HTML][HTML] Recent advances in artificial intelligence and wearable sensors in healthcare delivery
SB Junaid, AA Imam, M Abdulkarim, YA Surakat… - Applied Sciences, 2022 - mdpi.com
Artificial intelligence (AI) and wearable sensors are gradually transforming healthcare
service delivery from the traditional hospital-centred model to the personal-portable-device …
service delivery from the traditional hospital-centred model to the personal-portable-device …
[HTML][HTML] Challenges in the geo-processing of big soil spatial data
This study addressed a critical resource—soil—through the prism of processing big data at
the continental scale. Rapid progress in technology and remote sensing has majorly …
the continental scale. Rapid progress in technology and remote sensing has majorly …
[HTML][HTML] A General Primer for Data Harmonization
C Cheng, L Messerschmidt, I Bravo, M Waldbauer… - Scientific Data, 2024 - nature.com
Data harmonization is an important method for combining or transforming data. To date
however, articles about data harmonization are field-specific and highly technical, making it …
however, articles about data harmonization are field-specific and highly technical, making it …
Pre-trained non-intrusive load monitoring model for recognizing activity of daily living
G Kim, S Park - Applied Intelligence, 2023 - Springer
Non-intrusive load monitoring (NILM) is a technology that analyzes total electricity
consumption data to determine whether a specific type of residential appliance is operated …
consumption data to determine whether a specific type of residential appliance is operated …
[HTML][HTML] Conceptual design of a generic data harmonization process for OMOP common data model
E Henke, M Zoch, Y Peng, I Reinecke… - BMC Medical Informatics …, 2024 - Springer
Background To gain insight into the real-life care of patients in the healthcare system, data
from hospital information systems and insurance systems are required. Consequently …
from hospital information systems and insurance systems are required. Consequently …
Meta Standard Requirements for Harmonizing Dataspace Integration at the Edge
Emerging technologies such as the Industrial Internet of Things (IIoT), hyper-connected
societies, and cyber-physical systems in Industry 5.0 (I5. 0) have increased data volume …
societies, and cyber-physical systems in Industry 5.0 (I5. 0) have increased data volume …