AIMC Topic: Data Management

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Active semi-supervised learning for biological data classification.

PloS one Aug 19, 2020
Due to datasets have continuously grown, efforts have been performed in the attempt to solve the problem related to the large amount of unlabeled data in disproportion to the scarcity of labeled data. Another important issue is related to the trade-o...
Data Management Supervised Machine Learning
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Exploiting defective RRAM array as synapses of HTM spatial pooler with boost-factor adjustment scheme for defect-tolerant neuromorphic systems.

Scientific reports Jul 16, 2020
A crossbar array architecture employing resistive switching memory (RRAM) as a synaptic element accelerates vector-matrix multiplication in a parallel fashion, enabling energy-efficient pattern recognition. To implement the function of the synapse in...
Algorithms Computer Simulation Data Management Humans Neural Networks, Computer Software Pattern Recognition, Automated Memory Neocortex Data Accuracy Synapses Transistors, Electronic
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The European artificial intelligence strategy: implications and challenges for digital health.

The Lancet. Digital health Jun 23, 2020
In February, 2020, the European Commission published a white paper on artificial intelligence (AI) as well as an accompanying communication and report. The paper sets out policy options to facilitate a secure and trustworthy development of AI and con...
Humans Artificial Intelligence Delivery of Health Care Data Management Europe
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Artificial intelligence approach fighting COVID-19 with repurposing drugs.

Biomedical journal May 15, 2020
BACKGROUND: The ongoing COVID-19 pandemic has caused more than 193,825 deaths during the past few months. A quick-to-be-identified cure for the disease will be a therapeutic medicine that has prior use experiences in patients in order to resolve the ...
Pandemics COVID-19 SARS-CoV-2 Humans Artificial Intelligence Pneumonia, Viral Drug Repositioning Coronavirus Infections Betacoronavirus Data Management Predictive Value of Tests
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Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study.

The Lancet. Digital health Mar 26, 2020
BACKGROUND: Many individuals who will experience a first episode of psychosis (FEP) are not detected before occurrence, limiting the effect of preventive interventions. The combination of machine-learning methods and electronic health records (EHRs) ...
Models, Biological Schizophrenia Psychotic Disorders ROC Curve Data Management Area Under Curve Datasets as Topic Adult Male Middle Aged Risk Assessment Case-Control Studies Cohort Studies Retrospective Studies Electronic Health Records Female Databases, Factual Prognosis Humans Neural Networks, Computer Machine Learning Data Analysis Delivery of Health Care
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The AI Revolution and How to Prepare for It.

Translational vision science & technology Mar 18, 2020
Ophthalmology Population Health Machine Learning Data Management United States Humans Artificial Intelligence
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SeizureBank: A Repository of Analysis-ready Seizure Signal Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Approximately 60 million people worldwide suffer from epileptic seizures. A key challenge in machine learning ap proaches for epilepsy research is the lack of a data resource of analysis-ready (no additional preprocessing is needed when using the dat...
Epilepsy Data Management Seizures Male Data Analysis Humans Signal Processing, Computer-Assisted Infant Female Electroencephalography Young Adult Pilot Projects Adolescent Child, Preschool Child Datasets as Topic Machine Learning
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Preparing Medical Imaging Data for Machine Learning.

Radiology Feb 18, 2020
Artificial intelligence (AI) continues to garner substantial interest in medical imaging. The potential applications are vast and include the entirety of the medical imaging life cycle from image creation to diagnosis to outcome prediction. The chief...
Data Collection Algorithms Humans Machine Learning Data Management Diagnostic Imaging
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Expert-augmented machine learning.

Proceedings of the National Academy of Sciences of the United States of America Feb 18, 2020
Machine learning is proving invaluable across disciplines. However, its success is often limited by the quality and quantity of available data, while its adoption is limited by the level of trust afforded by given models. Human vs. machine performanc...
Machine Learning Data Management Expert Systems Medical Informatics Database Management Systems
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Adaptive neural tree exploiting expert nodes to classify high-dimensional data.

Neural networks : the official journal of the International Neural Network Society Jan 10, 2020
Classification of high dimensional data suffers from curse of dimensionality and over-fitting. Neural tree is a powerful method which combines a local feature selection and recursive partitioning to solve these problems, but it leads to high depth tr...
Neural Networks, Computer Data Management Decision Trees
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