AIMC Topic: Big Data

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From Deep Mutational Mapping of Allosteric Protein Landscapes to Deep Learning of Allostery and Hidden Allosteric Sites: Zooming in on "Allosteric Intersection" of Biochemical and Big Data Approaches.

International journal of molecular sciences Apr 24, 2023
The recent advances in artificial intelligence (AI) and machine learning have driven the design of new expert systems and automated workflows that are able to model complex chemical and biological phenomena. In recent years, machine learning approach...
Allosteric Site Deep Learning Proteins Big Data Artificial Intelligence
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Big Data, Machine Learning, and Artificial Intelligence to Advance Cancer Care: Opportunities and Challenges.

Seminars in oncology nursing Apr 20, 2023
OBJECTIVES: The rapid advances in artificial intelligence (AI), big data, and machine learning (ML) technologies hold promise for personalized, equitable cancer care and improved health outcomes within the context of cancer and beyond. Furthermore, i...
Humans Artificial Intelligence Neoplasms Big Data Precision Medicine Machine Learning
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Modified CPT-TODIM method for evaluating the development level of digital inclusive finance under probabilistic hesitant fuzzy environment.

PloS one Mar 29, 2023
Unlike traditional finance, digital inclusive finance is committed to integrating digital technology with the financial industry to bring groups originally excluded from traditional finance back into formal financial services and provide financial se...
Entropy Digital Technology Artificial Intelligence Decision Making Big Data
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Clinician Trust in Artificial Intelligence: What is Known and How Trust Can Be Facilitated.

Critical care clinics Mar 27, 2023
Predictive analytics based on artificial intelligence (AI) offer clinicians the opportunity to leverage big data available in electronic health records (EHR) to improve clinical decision-making, and thus patient outcomes. Despite this, many barriers ...
Trust Big Data Electronic Health Records Artificial Intelligence Humans
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The big data era: The usefulness of folksonomy for natural language processing.

Nefrologia Mar 15, 2023
BACKGROUND: A huge amount of clinical data is generated daily and it is usually filed in clinical reports as natural language. Data extraction and further analysis requires reading and manual review of each report, which is a time consuming process. ...
Big Data Humans Natural Language Processing
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Big Data in Stroke: How to Use Big Data to Make the Next Management Decision.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics Mar 10, 2023
The last decade has seen significant advances in the accumulation of medical data, the computational techniques to analyze that data, and corresponding improvements in management. Interventions such as thrombolytics and mechanical thrombectomy improv...
Machine Learning Big Data Artificial Intelligence Humans Stroke Fibrinolytic Agents
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Implementing artificial intelligence in Canadian primary care: Barriers and strategies identified through a national deliberative dialogue.

PloS one Feb 27, 2023
BACKGROUND: With large volumes of longitudinal data in electronic medical records from diverse patients, primary care is primed for disruption by artificial intelligence (AI) technology. With AI applications in primary care still at an early stage in...
Anthropology, Cultural Humans Big Data Primary Health Care Artificial Intelligence Canada
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Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data.

Big data Feb 24, 2023
Big data is a combination of large structured, semistructured, and unstructured data collected from various sources that must be processed before using them in many analytical applications. Anomalies or inconsistencies in big data refer to the occurr...
Big Data Neural Networks, Computer Forecasting Algorithms Time Factors
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Low-data interpretable deep learning prediction of antibody viscosity using a biophysically meaningful representation.

Scientific reports Feb 20, 2023
Deep learning, aided by the availability of big data sets, has led to substantial advances across many disciplines. However, many scientific problems of practical interest lack sufficiently large datasets amenable to deep learning. Prediction of anti...
Immunoglobulin Variable Region Antibodies Viscosity Big Data Deep Learning
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Emerging role of artificial intelligence, big data analysis and precision medicine in pediatrics.

Pediatric research Feb 17, 2023
Precision Medicine Child Big Data Humans Artificial Intelligence Pediatrics
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