AIMC Topic:
Supervised Machine Learning

Clear Filters Showing 1541 to 1550 of 1640 articles

Classification Techniques for Cardio-Vascular Diseases Using Supervised Machine Learning.

Medical archives (Sarajevo, Bosnia and Herzegovina) Feb 1, 2020
INTRODUCTION: The World Health Organization has estimated that 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in the developed countries are due to cardiovascular diseases. The early prognosis of cardiovascular d...
Female Aged Aged, 80 and over Middle Aged Humans Adult Supervised Machine Learning Male Cardiovascular Diseases Terminology as Topic Diagnostic Techniques, Cardiovascular
View on PubMed DOI

Recognition of calcifications in thyroid nodules based on attention-gated collaborative supervision network of ultrasound images.

Journal of X-ray science and technology Jan 1, 2020
BACKGROUND: Calcification is an important criterion for classification between benign and malignant thyroid nodules. Deep learning provides an important means for automatic calcification recognition, but it is tedious to annotate pixel-level labels f...
Algorithms Ultrasonography Calcinosis Thyroid Nodule Humans Supervised Machine Learning Image Interpretation, Computer-Assisted
View on PubMed DOI

Ensemble-Based Somatic Mutation Calling in Cancer Genomes.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2020
Identification of somatic mutations in tumor tissue is challenged by both technical artifacts, diverse somatic mutational processes, and genetic heterogeneity in the tumors. Indeed, recent independent benchmark studies have revealed low concordance b...
Supervised Machine Learning Genome, Human INDEL Mutation Genomics Polymorphism, Single Nucleotide Mutation Point Mutation Humans Software Neoplasms
View on PubMed DOI

Recent Advances on the Semi-Supervised Learning for Long Non-Coding RNA-Protein Interactions Prediction: A Review.

Protein and peptide letters Jan 1, 2020
In recent years, more and more evidence indicates that long non-coding RNA (lncRNA) plays a significant role in the development of complex biological processes, especially in RNA progressing, chromatin modification, and cell differentiation, as well ...
Computer Simulation Protein Binding RNA-Binding Proteins RNA, Long Noncoding Humans Software Proteins Supervised Machine Learning Databases, Protein Databases, Nucleic Acid Models, Molecular
View on PubMed DOI

Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Linking emergency medical services (EMS) electronic patient care reports (ePCRs) to emergency department (ED) records can provide clinicians access to vital information that can alter management. It can also create rich databases for resea...
Supervised Machine Learning Medical Record Linkage Algorithms Retrospective Studies Emergency Medical Services Humans Male Female Emergency Service, Hospital Logistic Models
View on PubMed DOI

Artificial intelligence in the diagnosis of cardiovascular disease.

Revista da Associacao Medica Brasileira (1992) Dec 1, 2019
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes. AI techniques have been applied in cardiovascular medicine to explore novel genotypes and phenotypes in existing diseases, improve the quality of ...
Big Data Unsupervised Machine Learning Supervised Machine Learning Algorithms Humans Precision Medicine Artificial Intelligence Cardiovascular Diseases
View on PubMed DOI

Metal artifact reduction for practical dental computed tomography by improving interpolation-based reconstruction with deep learning.

Medical physics Dec 1, 2019
PURPOSE: Metal artifact is a quite common problem in diagnostic dental computed tomography (CT) images. Due to the high attenuation of heavy materials such as metal, severe global artifacts can occur in reconstructions. Typical metal artifact reducti...
Artifacts Dentistry Image Processing, Computer-Assisted Supervised Machine Learning Deep Learning Metals
View on PubMed DOI

CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: This article presents a novel method of semisupervised learning using convolutional autoencoders for optical endomicroscopic images. Optical endomicroscopy (OE) is a newly emerged biomedical imaging modality that can support real-time clin...
Algorithms Diagnosis, Computer-Assisted Microscopy, Confocal Esophagoscopy Datasets as Topic Humans Barrett Esophagus Esophagus Supervised Machine Learning
View on PubMed DOI

The Use of Random Forests to Classify Amyloid Brain PET.

Clinical nuclear medicine Oct 1, 2019
PURPOSE: To evaluate random forests (RFs) as a supervised machine learning algorithm to classify amyloid brain PET as positive or negative for amyloid deposition and identify key regions of interest for stratification.
Neuroimaging Ethylene Glycols Female Aniline Compounds Aged Humans Positron-Emission Tomography Cognitive Dysfunction Aged, 80 and over Prospective Studies Amyloid Sensitivity and Specificity Supervised Machine Learning Brain Image Processing, Computer-Assisted Male Alzheimer Disease Middle Aged
View on PubMed DOI

HMMRATAC: a Hidden Markov ModeleR for ATAC-seq.

Nucleic acids research Sep 19, 2019
ATAC-seq has been widely adopted to identify accessible chromatin regions across the genome. However, current data analysis still utilizes approaches initially designed for ChIP-seq or DNase-seq, without considering the transposase digested DNA fragm...
Markov Chains Datasets as Topic Genome, Human Histones DNA Nucleosomes Humans Supervised Machine Learning Transposases Software High-Throughput Nucleotide Sequencing Sequence Analysis, DNA
View on PubMed DOI
Popular Topics
Recent Journals