AIMC Topic: Data Management

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Blockchain-Secured Recommender System for Special Need Patients Using Deep Learning.

Frontiers in public health Sep 20, 2021
Recommender systems offer several advantages to hospital data management units and patients with special needs. These systems are more dependent on the extreme subtle hospital-patient data. Thus, disregarding the confidentiality of patients with spec...
Humans Algorithms Blockchain Deep Learning Data Management Internet of Things
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Patterns of Metastatic Disease in Patients with Cancer Derived from Natural Language Processing of Structured CT Radiology Reports over a 10-year Period.

Radiology Aug 3, 2021
Background Patterns of metastasis in cancer are increasingly relevant to prognostication and treatment planning but have historically been documented by means of autopsy series. Purpose To show the feasibility of using natural language processing (NL...
Reproducibility of Results Male Middle Aged Tomography, X-Ray Computed Humans Electronic Health Records Databases, Factual Female Retrospective Studies Natural Language Processing Feasibility Studies Neoplasm Metastasis Neoplasms Data Management Longitudinal Studies
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Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts.

Nature communications Jul 28, 2021
This study aims to develop and validate prediction models for the number of all heatstroke cases, and heatstrokes of hospital admission and death cases per city per 12 h, using multiple weather information and a population-based database for heatstro...
Registries Weather Heat Stroke Machine Learning Temperature Data Management Humans
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Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study.

The Lancet. Digital health Jun 29, 2021
BACKGROUND: Early detection of postoperative complications, including organ failure, is pivotal in the initiation of targeted treatment strategies aimed at attenuating organ damage. In an era of increasing health-care costs and limited financial reso...
Middle Aged Risk Assessment Postoperative Complications Aged Adult Male Area Under Curve Models, Biological Postoperative Period Adolescent ROC Curve Data Management Data Analysis Forecasting Databases, Factual Retrospective Studies Female Risk Factors Humans Neural Networks, Computer Biomedical Technology
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Flexible multi-view semi-supervised learning with unified graph.

Neural networks : the official journal of the International Neural Network Society May 5, 2021
At present, the diversity of data acquisition boosts the growth of multi-view data and the lack of label information. Since manually labeling is expensive and impractical, it is practical to enhance learning performance with a small amount of labeled...
Data Management Supervised Machine Learning Linear Models Algorithms Databases, Factual
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Machine Learning and Natural Language Processing in Mental Health: Systematic Review.

Journal of medical Internet research May 4, 2021
BACKGROUND: Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides good perfo...
Natural Language Processing Humans Mental Health Artificial Intelligence Data Management Machine Learning
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Automatic ship classification for a riverside monitoring system using a cascade of artificial intelligence techniques including penalties and rewards.

ISA transactions Apr 12, 2021
Riverside monitoring systems are used for controlling the passage of ships, counting them to prevent overcrowding in a port, or raising an alarm if the ship is unknown or not safe. This type of control and analysis is commonly carried out by many peo...
Humans Artificial Intelligence Data Management Monitoring, Physiologic Reward Ships
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The paper chase and the big data arms race.

Journal of assisted reproduction and genetics Mar 13, 2021
Artificial Intelligence Data Management Fertilization in Vitro Reproductive Medicine Humans
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Patient journey through cases of depression from claims database using machine learning algorithms.

PloS one Feb 16, 2021
Health insurance and acute hospital-based claims have recently become available as real-world data after marketing in Japan and, thus, classification and prediction using the machine learning approach can be applied to them. However, the methodology ...
Prognosis Data Management Algorithms Precision Medicine Humans Machine Learning
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A comprehensive study on classification of COVID-19 on computed tomography with pretrained convolutional neural networks.

Scientific reports Oct 9, 2020
The use of imaging data has been reported to be useful for rapid diagnosis of COVID-19. Although computed tomography (CT) scans show a variety of signs caused by the viral infection, given a large amount of images, these visual features are difficult...
Pneumonia, Viral Coronavirus Infections Betacoronavirus Databases, Factual Artificial Intelligence Tomography, X-Ray Computed Pandemics SARS-CoV-2 COVID-19 Lung Humans Image Processing, Computer-Assisted Neural Networks, Computer Data Management
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