Tackling the global challenges using data-driven innovations
S Akter, S Sultana, A Gunasekaran, RJ Bandara… - Annals of Operations …, 2024 - Springer
The data revolution transforms operations, innovation, and society through artificial
intelligence and advanced analytics. Data-driven innovations (DDI) have the most potential …
intelligence and advanced analytics. Data-driven innovations (DDI) have the most potential …
Bibliometric and visual analysis of fecal microbiota transplantation research from 2012 to 2021
F Zhang, P Yang, Y Chen, R Wang, B Liu… - Frontiers in Cellular …, 2022 - frontiersin.org
Background Fecal microbiota transplantation (FMT) is an emerging therapy for diseases
associated with intestinal flora imbalance that has attracted increasing attention in recent …
associated with intestinal flora imbalance that has attracted increasing attention in recent …
Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1
Breast cancer diagnosis has been associated with poor mental health, with significant
impairment of quality of life. In order to ensure support for successful adaptation to this …
impairment of quality of life. In order to ensure support for successful adaptation to this …
[HTML][HTML] Readability and Suitability of Information Presented on a University Health Center Website
This study evaluated the readability and suitability of a university health center public
website. Readability formulas estimated the reading grade and age required for …
website. Readability formulas estimated the reading grade and age required for …
The multiple dimensions of networks in cancer: A perspective
This perspective article gathers the latest developments in mathematical and computational
oncology tools that exploit network approaches for the mathematical modelling, analysis …
oncology tools that exploit network approaches for the mathematical modelling, analysis …
Data-driven discovery of mathematical and physical relations in oncology data using human-understandable machine learning
For decades, researchers have used the concepts of rate of change and differential
equations to model and forecast neoplastic processes. This expressive mathematical …
equations to model and forecast neoplastic processes. This expressive mathematical …
Secure and Privacy-Preserving Federated Learning With Explainable Artificial Intelligence for Smart Healthcare Systems
R Komalasari - Federated Learning and Privacy-Preserving in …, 2024 - igi-global.com
With the escalating global population, the healthcare sector faces unprecedented
challenges, necessitating innovative solutions. Deep learning (DL) and federated learning …
challenges, necessitating innovative solutions. Deep learning (DL) and federated learning …
Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction
Modern data analytics take advantage of ensemble learning and transfer learning
approaches to tackle some of the most relevant issues in data analysis, such as lack of …
approaches to tackle some of the most relevant issues in data analysis, such as lack of …
[HTML][HTML] Determinants Affecting the Health Information Sharing Management and Practice for Patient Referral in Thailand: The Perceptions of Patients and Healthcare …
V Aumpanseang, K Suthiwartnarueput… - … in Health Information …, 2022 - ncbi.nlm.nih.gov
Despite the cooperative sharing of health information exchange (HIE), various distinct
limitations and barriers are found (ie, substantial time and resources are being used to …
limitations and barriers are found (ie, substantial time and resources are being used to …
BONVITA: Enabling Integrated Self-Care for Improving Chronic Patient's Wellbeing
Abstract In 2020, more than 20% of the population in the European Union (EU) was over 65
years of age, according to the statistical office of the EU (eurostat), while the percentage of …
years of age, according to the statistical office of the EU (eurostat), while the percentage of …