AIMC Topic:
Databases, Factual

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Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record.

Arthritis research & therapy Dec 30, 2019
BACKGROUND: Systemic sclerosis (SSc) is a rare disease with studies limited by small sample sizes. Electronic health records (EHRs) represent a powerful tool to study patients with rare diseases such as SSc, but validated methods are needed. We devel...
Middle Aged International Classification of Diseases Scleroderma, Systemic Databases, Factual Electronic Health Records Female Reproducibility of Results Adult Sensitivity and Specificity Male Aged Aged, 80 and over Humans Machine Learning Algorithms
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DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network.

BMC medical informatics and decision making Dec 30, 2019
BACKGROUND: Fetal heart rate (FHR) monitoring is a screening tool used by obstetricians to evaluate the fetal state. Because of the complexity and non-linearity, a visual interpretation of FHR signals using common guidelines usually results in signif...
Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Cardiotocography Heart Rate, Fetal Fetal Diseases Acidosis Fetal Hypoxia Neural Networks, Computer Databases, Factual Pregnancy Female Humans
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A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.

Computational and mathematical methods in medicine Dec 30, 2019
Magnetic resonance (MR) imaging is a widely used imaging modality for detection of brain anatomical variations caused by brain diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). AD considered as an irreversible neurodegene...
Linear Models Pattern Recognition, Automated Neuroimaging Discriminant Analysis Alzheimer Disease Aged Biomarkers Humans Diagnosis, Computer-Assisted Positron-Emission Tomography Male Machine Learning Brain Image Interpretation, Computer-Assisted Cognitive Dysfunction Middle Aged Algorithms Female Image Processing, Computer-Assisted Disease Progression Databases, Factual Reproducibility of Results Magnetic Resonance Imaging
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Long Short-Term Memory Recurrent Neural Networks for Multiple Diseases Risk Prediction by Leveraging Longitudinal Medical Records.

IEEE journal of biomedical and health informatics Dec 25, 2019
Individuals suffer from chronic diseases without being identified in time, which brings lots of burden of disease to the society. This paper presents a multiple disease risk prediction method to systematically assess future disease risks for patients...
Risk Assessment Diagnosis, Computer-Assisted Models, Statistical Disease Susceptibility Humans Neural Networks, Computer Databases, Factual Electronic Health Records
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Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification.

IEEE transactions on medical imaging Dec 24, 2019
Deep learning approaches are widely applied to histopathological image analysis due to the impressive levels of performance achieved. However, when dealing with high-resolution histopathological images, utilizing the original image as input to the de...
Deep Learning Image Processing, Computer-Assisted Breast Humans Databases, Factual Female Breast Neoplasms
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Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study.

Computational and mathematical methods in medicine Dec 19, 2019
Machine learning, one of the core disciplines of artificial intelligence, is an approach whose main emphasis is analytical model building. In other words, machine learning enables an automaton to make its own decisions based on a previous training pr...
Diabetic Neuropathies Humans Walking Gait Female Monitoring, Ambulatory Middle Aged Artificial Intelligence Reproducibility of Results Accelerometry Deep Learning Algorithms Adult ROC Curve Databases, Factual Male Mexico Biomarkers
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Enhanced Diagnosis of Severe Aortic Stenosis Using Artificial Intelligence: A Proof-of-Concept Study of 530,871 Echocardiograms.

JACC. Cardiovascular imaging Dec 18, 2019
Humans Predictive Value of Tests Image Interpretation, Computer-Assisted Proof of Concept Study Ventricular Function, Left Echocardiography Hemodynamics Aged Middle Aged Diagnosis, Computer-Assisted Aged, 80 and over Aortic Valve Stenosis Severity of Illness Index Adult Aortic Valve Male Artificial Intelligence Databases, Factual Prognosis Female
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Validation Study of QSAR/DNN Models Using the Competition Datasets.

Molecular informatics Dec 18, 2019
Since the QSAR/DNN model showed predominant predictive performance over other conventional methods in the Kaggle QSAR competition, many artificial neural network (ANN) methods have been applied to drug and material discovery. Appearance of artificial...
Neural Networks, Computer Artificial Intelligence Databases, Factual Models, Molecular Quantitative Structure-Activity Relationship
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Nutrient Estimation from 24-Hour Food Recalls Using Machine Learning and Database Mapping: A Case Study with Lactose.

Nutrients Dec 13, 2019
The Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24) is a free dietary recall system that outputs fewer nutrients than the Nutrition Data System for Research (NDSR). NDSR uses the Nutrition Coordinating Center (NCC) Food and Nutrie...
Machine Learning Software Databases, Factual Nutrition Assessment Humans Diet Models, Statistical Lactose Diet Records
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Predicting the occurrence of surgical site infections using text mining and machine learning.

PloS one Dec 13, 2019
In this study we propose the use of text mining and machine learning methods to predict and detect Surgical Site Infections (SSIs) using textual descriptions of surgeries and post-operative patients' records, mined from the database of a high complex...
Humans Machine Learning Algorithms Databases, Factual Female Male Middle Aged Medical Records Predictive Value of Tests Bayes Theorem Data Mining Surgical Wound Infection
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