AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Classification

Showing 81 to 90 of 99 articles

Clear Filters

H-Accuracy, an Alternative Metric to Assess Classification Models in Medicine.

Studies in health technology and informatics Jun 16, 2020
As widely known, regular accuracy is a misleading and shallow indicator of the performance of a predictive model, especially in real-life domains like medicine, where decisions affect health or life. In this paper we present and discuss a new accurac...
Classification Medicine Data Accuracy Humans Artificial Intelligence
View on PubMed DOI

Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2020
OBJECTIVE: Accurate electronic phenotyping is essential to support collaborative observational research. Supervised machine learning methods can be used to train phenotype classifiers in a high-throughput manner using imperfectly labeled data. We dev...
Humans Electronic Health Records Supervised Machine Learning Data Science Medical Informatics Observational Studies as Topic Classification
View on PubMed DOI

Optimal Feature Selection for Big Data Classification: Firefly with Lion-Assisted Model.

Big data Apr 1, 2020
In this article, the proposed method develops a big data classification model with the aid of intelligent techniques. Here, the Parallel Pool Map reduce Framework is used for handling big data. The model involves three main phases, namely (1) feature...
Algorithms Neural Networks, Computer Big Data Classification
View on PubMed DOI

Accurate Inference of Tree Topologies from Multiple Sequence Alignments Using Deep Learning.

Systematic biology Mar 1, 2020
Reconstructing the phylogenetic relationships between species is one of the most formidable tasks in evolutionary biology. Multiple methods exist to reconstruct phylogenetic trees, each with their own strengths and weaknesses. Both simulation and emp...
Neural Networks, Computer Computer Simulation Phylogeny Sequence Alignment Deep Learning Classification
View on PubMed DOI

Imputation and characterization of uncoded self-harm in major mental illness using machine learning.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: We aimed to impute uncoded self-harm in administrative claims data of individuals with major mental illness (MMI), characterize self-harm incidence, and identify factors associated with coding bias.
Incidence Datasets as Topic Classification Male Suicidal Ideation Self-Injurious Behavior Clinical Coding Algorithms Mental Disorders Humans Machine Learning Electronic Health Records Female Adult
View on PubMed DOI

Using convolutional neural networks to identify patient safety incident reports by type and severity.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: To evaluate the feasibility of a convolutional neural network (CNN) with word embedding to identify the type and severity of patient safety incident reports.
Neural Networks, Computer Classification Patient Safety Medical Errors Risk Management Feasibility Studies Support Vector Machine Humans
View on PubMed DOI

A computational study of mental health awareness campaigns on social media.

Translational behavioral medicine Nov 25, 2019
As public discourse continues to progress online, it is important for mental health advocates, public health officials, and other curious parties and stakeholders, ranging from researchers, to those affected by the issue, to be aware of the advancing...
Health Promotion Social Media Classification Public Health Delphi Technique Machine Learning Humans Mental Health
View on PubMed DOI

Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Automated clinical phenotyping is challenging because word-based features quickly turn it into a high-dimensional problem, in which the small, privacy-restricted, training datasets might lead to overfitting. Pretrained embeddings might sol...
Classification Data Mining Humans Patient Selection Machine Learning Logistic Models Neural Networks, Computer Deep Learning Clinical Trials as Topic Natural Language Processing
View on PubMed DOI

ML-Net: multi-label classification of biomedical texts with deep neural networks.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: In multi-label text classification, each textual document is assigned 1 or more labels. As an important task that has broad applications in biomedicine, a number of different computational methods have been proposed. Many of these methods,...
Machine Learning Data Mining Deep Learning Neural Networks, Computer Natural Language Processing Computational Biology Classification Benchmarking
View on PubMed DOI

Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks.

Systematic biology Nov 1, 2019
Rapid and reliable identification of insects is important in many contexts, from the detection of disease vectors and invasive species to the sorting of material from biodiversity inventories. Because of the shortage of adequate expertise, there has ...
Neural Networks, Computer Reproducibility of Results Insecta Classification Animals Phylogeny
View on PubMed DOI
Popular Topics
Recent Journals