AIMC Topic: Big Data

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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...
Big Data Causality Humans Machine Learning
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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...
Cloud Computing Humans Artificial Intelligence Big Data Students Commerce
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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...
Supervised Machine Learning Biomedical Technology Image Processing, Computer-Assisted Fundus Oculi Male Humans Big Data Machine Learning
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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 ...
United States Mastectomy Deep Learning Big Data Comparative Effectiveness Research Medicare Mastectomy, Segmental Humans Female Aged Breast Neoplasms
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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.
Artificial Intelligence Neurosciences Research Design Empirical Research Big Data
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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...
Humans Big Data Data Mining Adolescent Republic of Korea Sentiment Analysis Depression
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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...
Humans Animal Welfare Artificial Intelligence Animals Big Data Quality Control
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Technological trends in Swedish medical libraries.

Health information and libraries journal Aug 11, 2023
Medical libraries in Sweden are digitised to a large extent, technically advanced and developing rapidly. This paper investigates technological trends among Swedish medical libraries in the near and distant future and their application within differe...
Information Services Big Data Humans Artificial Intelligence Libraries, Medical Sweden
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Research on the digital application of telemedicine based on internet big data in the era of artificial intelligence.

Minerva medica Aug 3, 2023
Artificial Intelligence Humans Big Data Internet Telemedicine
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A Weighted GraphSAGE-Based Context-Aware Approach for Big Data Access Control.

Big data Aug 1, 2023
Context information is the key element to realizing dynamic access control of big data. However, existing context-aware access control (CAAC) methods do not support automatic context awareness and cannot automatically model and reason about context r...
Algorithms Big Data Neural Networks, Computer
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