AIMC Topic: Big Data

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Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data - A systematic review.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 13, 2021
BACKGROUND: White matter hyperintensities (WMH), of presumed vascular origin, are visible and quantifiable neuroradiological markers of brain parenchymal change. These changes may range from damage secondary to inflammation and other neurological con...
Big Data Image Processing, Computer-Assisted Magnetic Resonance Imaging White Matter Brain Deep Learning
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Evaluating the sustainability of big data centers using the analytic network process and fuzzy TOPSIS.

Environmental science and pollution research international Jan 6, 2021
The big data revolution has created data center sustainability problems, whose solutions require the consideration of environmental factors. The purpose of this study is to establish a big data center sustainability evaluation index and provide guida...
Big Data Fuzzy Logic
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"AI's gonna have an impact on everything in society, so it has to have an impact on public health": a fundamental qualitative descriptive study of the implications of artificial intelligence for public health.

BMC public health Jan 6, 2021
BACKGROUND: Our objective was to determine the impacts of artificial intelligence (AI) on public health practice.
Humans Artificial Intelligence Asia North America Public Health Big Data
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Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data.

Journal of plant physiology Dec 29, 2020
Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of the breeding cycle in major crops relevant for sustaining present demands for food, feed, and fuel. In contrast to classical approaches that emphasize the n...
Genome, Plant Genotype Plant Breeding Machine Learning Crops, Agricultural Phenotype Big Data Genomics
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For a critical appraisal of artificial intelligence in healthcare: The problem of bias in mHealth.

Journal of evaluation in clinical practice Dec 23, 2020
RATIONALE, AIMS AND OBJECTIVES: Artificial intelligence and big data are more and more used in medicine, either in prevention, diagnosis or treatment, and are clearly modifying the way medicine is thought and practiced. Some authors argue that the us...
Humans Artificial Intelligence Delivery of Health Care Bias Big Data Telemedicine
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Anomaly Identification during Polymerase Chain Reaction for Detecting SARS-CoV-2 Using Artificial Intelligence Trained from Simulated Data.

Molecules (Basel, Switzerland) Dec 23, 2020
Real-time reverse transcription (RT) PCR is the gold standard for detecting Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), owing to its sensitivity and specificity, thereby meeting the demand for the rising number of cases. The scarcit...
Models, Biological COVID-19 Testing Real-Time Polymerase Chain Reaction Reverse Transcriptase Polymerase Chain Reaction SARS-CoV-2 COVID-19 Humans Big Data Reproducibility of Results Artificial Intelligence
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Intelligence Is beyond Learning: A Context-Aware Artificial Intelligent System for Video Understanding.

Computational intelligence and neuroscience Dec 23, 2020
Understanding video files is a challenging task. While the current video understanding techniques rely on deep learning, the obtained results suffer from a lack of real trustful meaning. Deep learning recognizes patterns from big data, leading to dee...
Emotions Artificial Intelligence Intelligence Big Data
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Assessing Drug Development Risk Using Big Data and Machine Learning.

Cancer research Dec 22, 2020
Identifying new drug targets and developing safe and effective drugs is both challenging and risky. Furthermore, characterizing drug development risk, the probability that a drug will eventually receive regulatory approval, has been notoriously hard ...
Antineoplastic Agents Big Data Drug Development Drug-Related Side Effects and Adverse Reactions Risk Assessment Neoplasms Drug Delivery Systems Male Patient Safety Humans Female Machine Learning
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Paradigm Shift Toward Digital Neuropsychology and High-Dimensional Neuropsychological Assessments: Review.

Journal of medical Internet research Dec 16, 2020
Neuropsychologists in the digital age have increasing access to emerging technologies. The National Institutes of Health (NIH) initiatives for behavioral and social sciences have emphasized these developing scientific and technological potentials (eg...
Humans Machine Learning Big Data Neuropsychology
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Quantum-inspired canonical correlation analysis for exponentially large dimensional data.

Neural networks : the official journal of the International Neural Network Society Dec 9, 2020
Canonical correlation analysis (CCA) serves to identify statistical dependencies between pairs of multivariate data. However, its application to high-dimensional data is limited due to considerable computational complexity. As an alternative to the c...
Databases, Factual Big Data Machine Learning Algorithms Multivariate Analysis Biometry
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