AIMC Topic:
Databases, Factual

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Kidney segmentation from computed tomography images using deep neural network.

Computers in biology and medicine Jul 11, 2020
BACKGROUND: The precise segmentation of kidneys and kidney tumors can help medical specialists to diagnose diseases and improve treatment planning, which is highly required in clinical practice. Manual segmentation of the kidneys is extremely time-co...
Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed Image Processing, Computer-Assisted Kidney
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A Machine Learning Approach for Predicting Early Phase Postoperative Hypertension in Patients Undergoing Carotid Endarterectomy.

Annals of vascular surgery Jul 10, 2020
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the prediction of early phase postoperative hypertension (EPOH) requiring the administration of intravenous vasodilators after carotid endarterectomy (CEA).
Male Middle Aged Humans Risk Assessment Cerebrovascular Circulation Cerebrovascular Disorders Machine Learning Decision Support Techniques Carotid Stenosis Time Factors Databases, Factual Aged Administration, Intravenous Endarterectomy, Carotid Hypertension Predictive Value of Tests Aged, 80 and over Vasodilator Agents Retrospective Studies Treatment Outcome Adult Blood Pressure Female Antihypertensive Agents Risk Factors
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A deep learning approach based on convolutional LSTM for detecting diabetes.

Computational biology and chemistry Jul 10, 2020
Diabetes is a chronic disease that occurs when the pancreas does not generate sufficient insulin or the body cannot effectively utilize the produced insulin. If it remains unidentified and untreated, then it could be very deadliest. One can lead a he...
Databases, Factual Humans Deep Learning Diabetes Mellitus
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Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database.

International journal of environmental research and public health Jul 10, 2020
The application of machine learning (ML) for use in generating insights and making predictions on new records continues to expand within the medical community. Despite this progress to date, the application of time series analysis has remained undere...
Humans Machine Learning Forecasting Databases, Factual International Classification of Diseases Romania
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Fully multi-target segmentation for breast ultrasound image based on fully convolutional network.

Medical & biological engineering & computing Jul 8, 2020
Ultrasound image segmentation plays an important role in computer-aided diagnosis of breast cancer. Existing approaches focused on extracting the tumor tissue to characterize the tumor class. However, other tissues are also helpful for providing the ...
Ultrasonography, Mammary Breast Image Interpretation, Computer-Assisted Breast Neoplasms Computational Biology Fuzzy Logic Databases, Factual Humans Female Neural Networks, Computer
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Analysis of the role and robustness of artificial intelligence in commodity image recognition under deep learning neural network.

PloS one Jul 7, 2020
In order to explore the application of the image recognition model based on multi-stage convolutional neural network (MS-CNN) in the deep learning neural network in the intelligent recognition of commodity images and the recognition performance of th...
Databases, Factual Neural Networks, Computer Deep Learning Artificial Intelligence Image Processing, Computer-Assisted Algorithms
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AI-based investigation of molecular biomarkers of longevity.

Biogerontology Jul 6, 2020
In this paper, I build deep neural networks of various structures and hyperparameters in order to predict human chronological age based on open-access biochemical indicators and their specifications from the NHANES database. In total, 1152 neural net...
Neural Networks, Computer Artificial Intelligence Algorithms Humans Longevity Databases, Factual Biomarkers Nutrition Surveys
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Fuzzy Inspired Deep Belief Network for the Traffic Flow Prediction in Intelligent Transportation System Using Flow Strength Indicators.

Big data Jul 6, 2020
Intelligent transportation system (ITS) is an advance leading edge technology that aims to deliver innovative services to different modes of transport and traffic management. Traffic flow prediction (TFP) is one of the key macroscopic parameters of t...
San Francisco Transportation Neural Networks, Computer Algorithms Databases, Factual Deep Learning Fuzzy Logic Automobile Driving
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Predicting breast cancer risk using interacting genetic and demographic factors and machine learning.

Scientific reports Jul 6, 2020
Breast cancer (BC) is a multifactorial disease and the most common cancer in women worldwide. We describe a machine learning approach to identify a combination of interacting genetic variants (SNPs) and demographic risk factors for BC, especially fac...
Humans Machine Learning Algorithms Databases, Genetic Demography Epistasis, Genetic Breast Neoplasms Genetic Predisposition to Disease Polymorphism, Single Nucleotide Databases, Factual Female Risk Factors
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Machine learning for pattern detection in cochlear implant FDA adverse event reports.

Cochlear implants international Jul 5, 2020
Medical device performance and safety databases can be analyzed for patterns and novel opportunities for improving patient safety and/or device design. The objective of this analysis was to use supervised machine learning to explore patterns in rep...
Male Child Logistic Models Databases, Factual Female Adult Humans Cochlear Implantation Machine Learning Equipment Failure Analysis Algorithms Cochlear Implants Public Reporting of Healthcare Data United States Bayes Theorem United States Food and Drug Administration
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