AIMC Topic:
Databases, Factual
Clear Filters Showing 1671 to 1680 of 2950 articles
Deep-Learning Language-Modeling Approach for Automated, Personalized, and Iterative Radiology-Pathology Correlation.
Journal of the American College of Radiology : JACR
Jun 4, 2019
PURPOSE: Radiology-pathology correlation has long been foundational to continuing education, peer learning, quality assurance, and multidisciplinary patient care. The objective of this study was to determine whether modern deep-learning language-mode...
A comparative study on feature selection for a risk prediction model for colorectal cancer.
Computer methods and programs in biomedicine
Jun 4, 2019
BACKGROUND AND OBJECTIVE: Risk prediction models aim at identifying people at higher risk of developing a target disease. Feature selection is particularly important to improve the prediction model performance avoiding overfitting and to identify the...
Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics.
IEEE transactions on neural networks and learning systems
Jun 3, 2019
In the postgenome era, many problems in bioinformatics have arisen due to the generation of large amounts of imbalanced data. In particular, the computational classification of precursor microRNA (pre-miRNA) involves a high imbalance in the classes. ...
Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?
The Journal of arthroplasty
Jun 3, 2019
BACKGROUND: Recent advances in machine learning have given rise to deep learning, which uses hierarchical layers to build models, offering the ability to advance value-based healthcare by better predicting patient outcomes and costs of a given treatm...
Neural Networks, Computer
Databases, Factual
Female
Infant, Newborn
Humans
Middle Aged
Infant
Deep Learning
Adolescent
Aged
Young Adult
Adult
Male
New York
Arthroplasty, Replacement, Hip
Orthopedic Procedures
Orthopedics
Child, Preschool
Lower Extremity
Child
Inpatients
ROC Curve
Outcome Assessment, Health Care
Arthroplasty, Replacement, Knee
Heterogeneous Multilayer Generalized Operational Perceptron.
IEEE transactions on neural networks and learning systems
May 31, 2019
The traditional multilayer perceptron (MLP) using a McCulloch-Pitts neuron model is inherently limited to a set of neuronal activities, i.e., linear weighted sum followed by nonlinear thresholding step. Previously, generalized operational perceptron ...
Statistical supervised meta-ensemble algorithm for medical record linkage.
Journal of biomedical informatics
May 31, 2019
Identifying unique patients across multiple care facilities or services is a major challenge in providing continuous care and undertaking health research. Identifying and linking patients without compromising privacy and security is an emerging issue...
Data augmentation in dermatology image recognition using machine learning.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
May 29, 2019
BACKGROUND: Each year in the United States, over 80 million people are affected by acne, atopic dermatitis, rosacea, psoriasis, and impetigo. Artificial intelligence and machine learning could prove to be a good tool for assisting in the diagnosis of...
A novel IRBF-RVM model for diagnosis of atrial fibrillation.
Computer methods and programs in biomedicine
May 29, 2019
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is one of the common cardiovascular diseases, and electrocardiography (ECG) is a key indicator for the detection and diagnosis of AF and other heart diseases. In this study, an improved machine learn...
Outcomes and impact of laparoscopic inguinal hernia repair versus open inguinal hernia repair on healthcare spending and employee absenteeism.
Surgical endoscopy
May 28, 2019
BACKGROUND: This study compares the impact of open (OIHR) versus laparoscopic (LIHR) inguinal hernia repair on healthcare spending and postoperative outcomes.
Machine learning methods for developing precision treatment rules with observational data.
Behaviour research and therapy
May 28, 2019
Clinical trials have identified a variety of predictor variables for use in precision treatment protocols, ranging from clinical biomarkers and symptom profiles to self-report measures of various sorts. Although such variables are informative collect...
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