AIMC Topic: Big Data
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Big data and artificial intelligence in cancer research.
Trends in cancer
Nov 15, 2023
The field of oncology has witnessed an extraordinary surge in the application of big data and artificial intelligence (AI). AI development has made multiscale and multimodal data fusion and analysis possible. A new era of extracting information from ...
From cancer big data to treatment: Artificial intelligence in cancer research.
The journal of gene medicine
Nov 8, 2023
In recent years, developing the idea of "cancer big data" has emerged as a result of the significant expansion of various fields such as clinical research, genomics, proteomics and public health records. Advances in omics technologies are making a si...
Healthcare Big Data in Hong Kong: Development and Implementation of Artificial Intelligence-Enhanced Predictive Models for Risk Stratification.
Current problems in cardiology
Oct 21, 2023
Routinely collected electronic health records (EHRs) data contain a vast amount of valuable information for conducting epidemiological studies. With the right tools, we can gain insights into disease processes and development, identify the best treat...
Causal inference and observational data.
BMC medical research methodology
Oct 11, 2023
Observational studies using causal inference frameworks can provide a feasible alternative to randomized controlled trials. Advances in statistics, machine learning, and access to big data facilitate unraveling complex causal relationships from obser...
Optimization Strategy of College Students' Education Management Based on Smart Cloud Platform Teaching.
Computational intelligence and neuroscience
Oct 10, 2023
With the passage of time and social changes, the form of education is also changing step by step. In just a few decades, information technology has developed by leaps and bounds, and digital education has not yet been widely promoted. Intelligent edu...
Federated Semi-Supervised Learning for Medical Image Segmentation via Pseudo-Label Denoising.
IEEE journal of biomedical and health informatics
Oct 5, 2023
Distributed big data and digital healthcare technologies have great potential to promote medical services, but challenges arise when it comes to learning predictive model from diverse and complex e-health datasets. Federated Learning (FL), as a colla...
Comparative Effectiveness Analysis of Lumpectomy and Mastectomy for Elderly Female Breast Cancer Patients: A Deep Learning-based Big Data Analysis.
The Yale journal of biology and medicine
Sep 29, 2023
: To evaluate the comparative effectiveness of treatments, a randomized clinical trial remains the gold standard but can be challenged by a high cost, a limited sample size, an inability to fully reflect the real world, and feasibility concerns. The ...
Computational and systems neuroscience: The next 20 years.
PLoS biology
Sep 26, 2023
Over the past 20 years, neuroscience has been propelled forward by theory-driven experimentation. We consider the future outlook for the field in the age of big neural data and powerful artificial intelligence models.
Depression in South Korean Adolescents Captured by Text and Opinion Mining of Social Big Data.
International journal of environmental research and public health
Aug 28, 2023
Depression in adolescence is recognized as an important social and public health issue that interferes with continued physical growth and increases the likelihood of other mental disorders. The goal of this study was to examine online documents poste...
Non-destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review.
Comprehensive reviews in food science and food safety
Aug 21, 2023
The egg is considered one of the best sources of dietary protein, and has an important role in human growth and development. With the increase in the world's population, per capita egg consumption is also increasing. Ground-breaking technological dev...
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