AIMC Topic: 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 ...
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 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...
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...
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...
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...
Emerging role of artificial intelligence, big data analysis and precision medicine in pediatrics.
Pediatric research
Feb 17, 2023
Design and Development of a Big Data Platform for Disease Burden Based on the Spark Engine.
Computational intelligence and neuroscience
Feb 6, 2023
OBJECTIVE: This study attempts to build a big data platform for disease burden that can realize the deep coupling of artificial intelligence and public health. This is a highly open and shared intelligent platform, including big data collection, anal...
Machine intelligence for radiation science: summary of the Radiation Research Society 67th annual meeting symposium.
International journal of radiation biology
Feb 6, 2023
The era of high-throughput techniques created big data in the medical field and research disciplines. Machine intelligence (MI) approaches can overcome critical limitations on how those large-scale data sets are processed, analyzed, and interpreted. ...
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