AIMC Topic: Datasets as Topic

Clear Filters Showing 1011 to 1020 of 1098 articles

Cohort selection for clinical trials: n2c2 2018 shared task track 1.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Track 1 of the 2018 National NLP Clinical Challenges shared tasks focused on identifying which patients in a corpus of longitudinal medical records meet and do not meet identified selection criteria.
Machine Learning Natural Language Processing Patient Selection Humans Data Mining Datasets as Topic Clinical Trials as Topic
View on PubMed DOI

Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: With growing availability of digital health data and technology, health-related studies are increasingly augmented or implemented using real world data (RWD). Recent federal initiatives promote the use of RWD to make clinical assertions th...
Humans Artificial Intelligence Machine Learning Retrospective Studies Cardiology Data Mining Datasets as Topic Information Storage and Retrieval Electronic Health Records Cardiovascular Diseases Natural Language Processing
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...
Datasets as Topic Barrett Esophagus Esophagoscopy Humans Algorithms Esophagus Diagnosis, Computer-Assisted Microscopy, Confocal Supervised Machine Learning
View on PubMed DOI

Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Our objective is to develop algorithms for encoding clinical text into representations that can be used for a variety of phenotyping tasks.
Humans Neural Networks, Computer Algorithms Electronic Health Records Substance-Related Disorders Deep Learning Datasets as Topic Information Storage and Retrieval Big Data Clinical Coding Natural Language Processing
View on PubMed DOI

Primer on machine learning: utilization of large data set analyses to individualize pain management.

Current opinion in anaesthesiology Oct 1, 2019
PURPOSE OF REVIEW: Pain researchers and clinicians increasingly encounter machine learning algorithms in both research methods and clinical practice. This review provides a summary of key machine learning principles, as well as applications to both s...
Humans Machine Learning Treatment Outcome Pain Measurement Data Analysis Electronic Health Records Pain Facial Expression Pain Management Neuroimaging Datasets as Topic
View on PubMed DOI

Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks.

Journal of digital imaging Oct 1, 2019
Our objective is to evaluate the effectiveness of efficient convolutional neural networks (CNNs) for abnormality detection in chest radiographs and investigate the generalizability of our models on data from independent sources. We used the National ...
Radiography, Thoracic Female Male Humans Middle Aged Neural Networks, Computer Deep Learning Radiographic Image Interpretation, Computer-Assisted Lung Diseases Datasets as Topic
View on PubMed DOI

Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.

Journal of digital imaging Oct 1, 2019
We hypothesize that convolutional neural networks (CNN) can be used to predict neoadjuvant chemotherapy (NAC) response using a breast MRI tumor dataset prior to initiation of chemotherapy. An institutional review board-approved retrospective review o...
Image Interpretation, Computer-Assisted Datasets as Topic Sensitivity and Specificity Breast Neoplasms Deep Learning Predictive Value of Tests Breast Treatment Outcome Magnetic Resonance Imaging Algorithms Retrospective Studies Female Humans Neural Networks, Computer
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...
Software Transposases Sequence Analysis, DNA DNA Supervised Machine Learning Genome, Human Humans Histones High-Throughput Nucleotide Sequencing Nucleosomes Markov Chains Datasets as Topic
View on PubMed DOI

Will China lead the world in AI by 2030?

Nature Aug 1, 2019
Time Factors Research Child Humans Electronic Health Records Social Change United States Research Personnel Artificial Intelligence China Population Density Datasets as Topic Personnel Selection Authorship Goals
View on PubMed DOI

RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.

Journal of digital imaging Aug 1, 2019
Deep-learning algorithms typically fall within the domain of supervised artificial intelligence and are designed to "learn" from annotated data. Deep-learning models require large, diverse training datasets for optimal model convergence. The effort t...
Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging Humans Datasets as Topic Radiology Information Systems
View on PubMed DOI
Popular Topics
Recent Journals