AIMC Topic: Big Data
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MGLEP: Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data.
Scientific reports
Jul 16, 2024
Accurate forecasting and analysis of emerging pandemics play a crucial role in effective public health management and decision-making. Traditional approaches primarily rely on epidemiological data, overlooking other valuable sources of information th...
Laboratory Preparation for Digital Medicine in Healthcare 4.0: An Investigation Into the Awareness and Applications of Big Data and Artificial Intelligence.
Annals of laboratory medicine
Jul 2, 2024
BACKGROUND: Healthcare 4.0. refers to the integration of advanced technologies, such as artificial intelligence (AI) and big data analysis, into the healthcare sector. Recognizing the impact of Healthcare 4.0 technologies in laboratory medicine (LM),...
Revealing Comprehensive Food Functionalities and Mechanisms of Action through Machine Learning.
Journal of chemical information and modeling
Jul 1, 2024
Foods possess a range of unexplored functionalities; however, fully identifying these functions through empirical means presents significant challenges. In this study, we have proposed an approach to comprehensively predict the functionalities of fo...
Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data.
Annual review of biomedical engineering
Jun 20, 2024
Despite the remarkable advances in cancer diagnosis, treatment, and management over the past decade, malignant tumors remain a major public health problem. Further progress in combating cancer may be enabled by personalizing the delivery of therapies...
Artificial intelligence for small molecule anticancer drug discovery.
Expert opinion on drug discovery
Jun 18, 2024
INTRODUCTION: The transition from conventional cytotoxic chemotherapy to targeted cancer therapy with small-molecule anticancer drugs has enhanced treatment outcomes. This approach, which now dominates cancer treatment, has its advantages. Despite th...
Big data and deep learning for RNA biology.
Experimental & molecular medicine
Jun 14, 2024
The exponential growth of big data in RNA biology (RB) has led to the development of deep learning (DL) models that have driven crucial discoveries. As constantly evidenced by DL studies in other fields, the successful implementation of DL in RB depe...
Machine learning in infectious diseases: potential applications and limitations.
Annals of medicine
Jun 10, 2024
Infectious diseases are a major threat for human and animal health worldwide. Artificial Intelligence (AI) combined algorithms including Machine Learning and Big Data analytics have emerged as a potential solution to analyse diverse datasets and face...
A big data scheme for heart disease classification in map reduce using jellyfish search flow regime optimization enabled Spinalnet.
Pacing and clinical electrophysiology : PACE
May 15, 2024
BACKGROUND: The disease related to the heart is serious and can lead to death. Precise heart disease prediction is imperative for the effective treatment of cardiac patients. This can be attained by machine learning (ML) techniques using healthcare d...
Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach.
BMC public health
May 7, 2024
BACKGROUND: Depression is a global burden with profound personal and economic consequences. Previous studies have reported that the amount of physical activity is associated with depression. However, the relationship between the temporal patterns of ...
[Data-driven intensive care: a lack of comprehensive datasets].
Medizinische Klinik, Intensivmedizin und Notfallmedizin
Apr 26, 2024
Intensive care units provide a data-rich environment with the potential to generate datasets in the realm of big data, which could be utilized to train powerful machine learning (ML) models. However, the currently available datasets are too small and...
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