AIMC Topic: Big Data

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Epistemic Rights and Responsibilities of Digital Simulacra for Biomedicine.

The American journal of bioethics : AJOB Dec 12, 2022
Big data and AI have enabled digital simulation for prediction of future health states or behaviors of specific individuals, populations or humans in general. "Digital simulacra" use multimodal datasets to develop computational models that are virtua...
Computer Simulation Big Data Artificial Intelligence Humans
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Disease-specific data processing: An intelligent digital platform for diabetes based on model prediction and data analysis utilizing big data technology.

Frontiers in public health Dec 12, 2022
BACKGROUND: Artificial intelligence technology has become a mainstream trend in the development of medical informatization. Because of the complex structure and a large amount of medical data generated in the current medical informatization process, ...
Artificial Intelligence China Big Data Diabetes Mellitus Technology Humans
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A Literature Review on Ethics for AI in Biomedical Research and Biobanking.

Yearbook of medical informatics Dec 4, 2022
BACKGROUND: Artificial Intelligence (AI) is becoming more and more important especially in datacentric fields, such as biomedical research and biobanking. However, AI does not only offer advantages and promising benefits, but brings about also ethica...
Biomedical Research Big Data Artificial Intelligence Biological Specimen Banks Informed Consent
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Refinery 4.0, a Review of the Main Challenges of the Industry 4.0 Paradigm in Oil & Gas Downstream.

Sensors (Basel, Switzerland) Nov 25, 2022
Industry 4.0 concept has become a worldwide revolution that has been mainly led by the manufacturing sector. Continuous Process Industry is part of this global trend where there are aspects of the "fourth industrial revolution" that must be adapted t...
Artificial Intelligence Industry Technology Machine Learning Big Data
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Multiagent-Based Data Presentation Mechanism for Multifaceted Analysis in Network Management Tasks.

Sensors (Basel, Switzerland) Nov 15, 2022
Although network management tasks are highly automated using big data and artificial intelligence technologies, when an unforeseen cybersecurity problem or fault scenario occurs, administrators sometimes directly analyze system data to make a heurist...
Computer Security Problem Solving Heuristics Big Data Artificial Intelligence
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Artificial intelligence-based approaches for traditional fermented alcoholic beverages' development: review and prospect.

Critical reviews in food science and nutrition Oct 31, 2022
Traditional fermented alcoholic beverages (TFABs) have gained widespread acceptance and enjoyed great popularity for centuries. COVID-19 pandemics lead to the surge in health demand for diet, thus TFABs once again attract increased focus for the heal...
Artificial Intelligence Alcoholic Beverages Beverages Diet Big Data
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Prototype early diagnostic model for invasive pulmonary aspergillosis based on deep learning and big data training.

Mycoses Oct 31, 2022
BACKGROUND: Currently, the diagnosis of invasive pulmonary aspergillosis (IPA) mainly depends on the integration of clinical, radiological and microbiological data. Artificial intelligence (AI) has shown great advantages in dealing with data-rich bio...
Sensitivity and Specificity Deep Learning Retrospective Studies Invasive Pulmonary Aspergillosis Pneumonia Big Data Artificial Intelligence Humans
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What Is a Digital Twin? Experimental Design for a Data-Centric Machine Learning Perspective in Health.

International journal of molecular sciences Oct 29, 2022
The idea of a digital twin has recently gained widespread attention. While, so far, it has been used predominantly for problems in engineering and manufacturing, it is believed that a digital twin also holds great promise for applications in medicine...
Research Design Big Data Machine Learning Humans
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Artificial intelligence: is it the right time for clinical laboratories?

Clinical chemistry and laboratory medicine Oct 24, 2022
Laboratories, Clinical Big Data Clinical Laboratory Services Artificial Intelligence Humans
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Detecting Reconnaissance and Discovery Tactics from the MITRE ATT&CK Framework in Zeek Conn Logs Using Spark's Machine Learning in the Big Data Framework.

Sensors (Basel, Switzerland) Oct 20, 2022
While computer networks and the massive amount of communication taking place on these networks grow, the amount of damage that can be done by network intrusions grows in tandem. The need is for an effective and scalable intrusion detection system (ID...
Logistic Models Big Data Bayes Theorem Machine Learning
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