AIMC Topic: Big Data

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Algorithm Recommendation and Performance Prediction Using Meta-Learning.

International journal of neural systems Feb 1, 2023
In the last years, the number of machine learning algorithms and their parameters has increased significantly. On the one hand, this increases the chances of finding better models. On the other hand, it increases the complexity of the task of trainin...
Algorithms Big Data Machine Learning
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Prediction and Big Data Impact Analysis of Telecom Churn by Backpropagation Neural Network Algorithm from the Perspective of Business Model.

Big data Jan 19, 2023
This study aims to transform the existing telecom operators from traditional Internet operators to digital-driven services, and improve the overall competitiveness of telecom enterprises. Data mining is applied to telecom user classification to proce...
Algorithms Learning Neural Networks, Computer Data Mining Big Data
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Big data and machine learning driven bioprocessing - Recent trends and critical analysis.

Bioresource technology Jan 13, 2023
Given the potential of machine learning algorithms in revolutionizing the bioengineering field, this paper examined and summarized the literature related to artificial intelligence (AI) in the bioprocessing field. Natural language processing (NLP) wa...
Artificial Intelligence Natural Language Processing Machine Learning Algorithms Big Data
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Intelligent Sensors for POI Recommendation Model Using Deep Learning in Location-Based Social Network Big Data.

Sensors (Basel, Switzerland) Jan 11, 2023
Aiming at the problem that the existing Point of Interest (POI) recommendation model in social network big data is difficult to extract deep feature information, a POI recommendation model based on deep learning in social networks and big data is pro...
Big Data Social Networking Geography Algorithms Deep Learning
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Exploratory pharmacovigilance with machine learning in big patient data: A focused scoping review.

Basic & clinical pharmacology & toxicology Jan 3, 2023
BACKGROUND: Machine learning can operationalize the rich and complex data in electronic patient records for exploratory pharmacovigilance endeavours.
Big Data Machine Learning Bayes Theorem Humans Electronic Health Records Pharmacovigilance
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Evaluation of product conceptual design based on Pythagorean fuzzy set under big data environment.

Scientific reports Dec 27, 2022
The concept design evaluation phase of the new product launch is extremely important. However, current evaluation information relies mainly on the a priori knowledge of decision makers and is subjective and ambiguous. For this reason, a conceptual de...
Models, Theoretical Fuzzy Logic Big Data Reproducibility of Results
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Big data and artificial intelligence application in energy field: a bibliometric analysis.

Environmental science and pollution research international Dec 23, 2022
This paper uses bibliometrics to characterize the knowledge systems of big data, artificial intelligence (AI), and energy based on the Science Citation Index Extension (SCI-E) and Social Science Citation Index (SSCI) of the Web of Science from 2001 t...
Artificial Intelligence Big Data Neural Networks, Computer Publishing Bibliometrics
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From big data to better patient outcomes.

Clinical chemistry and laboratory medicine Dec 22, 2022
Among medical specialties, laboratory medicine is the largest producer of structured data and must play a crucial role for the efficient and safe implementation of big data and artificial intelligence in healthcare. The area of personalized therapies...
Big Data Precision Medicine Humans Artificial Intelligence Algorithms Delivery of Health Care
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Toward the Internet of Medical Things: Architecture, trends and challenges.

Mathematical biosciences and engineering : MBE Dec 19, 2022
In recent years, the growing pervasiveness of wearable technology has created new opportunities for medical and emergency rescue operations to protect users' health and safety, such as cost-effective medical solutions, more convenient healthcare and ...
Internet of Things Cloud Computing Artificial Intelligence Big Data Internet
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Global output on artificial intelligence in the field of nursing: A bibliometric analysis and science mapping.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Dec 18, 2022
PURPOSE: To analyze the AI research in the field of nursing, to explore the current situation, hot topics, and prospects of AI research in the field of nursing, and to provide a reference for researchers to carry out related studies.
Bibliometrics Machine Learning Artificial Intelligence Data Management Big Data Humans
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