AIMC Topic: Data Science

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Doctors in Medical Data Sciences: A New Curriculum.

International journal of environmental research and public health Dec 30, 2022
Machine Learning (ML), a branch of Artificial Intelligence, which is competing with human experts in many specialized biomedical fields and will play an increasing role in precision medicine. As with any other technological advances in medicine, the ...
Humans Artificial Intelligence Data Science Machine Learning Curriculum Technology
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Developing an Improved Ensemble Learning Approach for Predictive Maintenance in the Textile Manufacturing Process.

Sensors (Basel, Switzerland) Nov 22, 2022
With the rapid development of digital transformation, paper forms are digitalized as electronic forms (e-Forms). Existing data can be applied in predictive maintenance (PdM) for the enabling of intelligentization and automation manufacturing. This st...
Automation Cloud Computing Machine Learning Algorithms Data Science
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Artificial Intelligence and Big Data Science in Neurocritical Care.

Critical care clinics Oct 9, 2022
In recent years, the volume of digitalized web-based information utilizing modern computer-based technology for data storage, processing, and analysis has grown rapidly. Humans can process a limited number of variables at any given time. Thus, the de...
Humans Neural Networks, Computer Data Science Machine Learning Big Data Artificial Intelligence
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IOT-Based Medical Informatics Farming System with Predictive Data Analytics Using Supervised Machine Learning Algorithms.

Computational and mathematical methods in medicine Aug 30, 2022
In the farming industry, the Internet of Things (IoT) is crucial for boosting utility. Innovative agriculture practices and medical informatics have the potential to increase crop yield while using the same amount of input. Individuals can benefit fr...
Farms Machine Learning Support Vector Machine Humans Algorithms Data Science Medical Informatics
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Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery.

Chemical reviews Jul 21, 2022
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels, reducing the impact of global warming, and providing solutions to environmental pollution. Improved processes for catalyst design and a better understanding ...
Artificial Intelligence Machine Learning Data Science Catalysis
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Building Process-Oriented Data Science Solutions for Real-World Healthcare.

International journal of environmental research and public health Jul 10, 2022
The COVID-19 pandemic has highlighted some of the opportunities, problems and barriers facing the application of Artificial Intelligence to the medical domain. It is becoming increasingly important to determine how Artificial Intelligence will help h...
Data Science Artificial Intelligence Pandemics COVID-19 Delivery of Health Care Humans
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Best Practices on Big Data Analytics to Address Sex-Specific Biases in Our Understanding of the Etiology, Diagnosis, and Prognosis of Diseases.

Annual review of biomedical data science May 13, 2022
A bias in health research to favor understanding diseases as they present in men can have a grave impact on the health of women. This paper reports on a conceptual review of the literature on machine learning or natural language processing (NLP) tech...
Natural Language Processing Data Science Machine Learning Female Male Big Data Humans Artificial Intelligence
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FAIR data enabling new horizons for materials research.

Nature Apr 27, 2022
The prosperity and lifestyle of our society are very much governed by achievements in condensed matter physics, chemistry and materials science, because new products for sectors such as energy, the environment, health, mobility and information techno...
Artificial Intelligence Data Science
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Using Big Data Analytics to "Back Engineer" Protein Conformational Selection Mechanisms.

Molecules (Basel, Switzerland) Apr 13, 2022
In the living cells, proteins bind small molecules (or "ligands") through a "conformational selection" mechanism, where a subset of protein structures are capable of binding the small molecules well while most other protein structures are not capable...
Machine Learning Data Science Protein Binding Proteins Ligands Protein Conformation
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Incremental Ant-Miner Classifier for Online Big Data Analytics.

Sensors (Basel, Switzerland) Mar 13, 2022
Internet of Things (IoT) environments produce large amounts of data that are challenging to analyze. The most challenging aspect is reducing the quantity of consumed resources and time required to retrain a machine learning model as new data records ...
Horses Neural Networks, Computer Machine Learning Data Science Humans Algorithms Bayes Theorem Animals
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