Cultural Competence

In Need of Bias Control: Evaluating Chemical Data for Machine Learning in Structure-Based Virtual Screening.

Reports of successful applications of machine learning (ML) methods in structure-based virtual scree...

Guiding Neuroevolution with Structural Objectives.

The structure and performance of neural networks are intimately connected, and by use of evolutionar...

Can AI Help Reduce Disparities in General Medical and Mental Health Care?

BACKGROUND: As machine learning becomes increasingly common in health care applications, concerns ha...

What Machine Learning Can Tell Us About the Role of Language Dominance in the Diagnostic Accuracy of German LITMUS Non-word and Sentence Repetition Tasks.

The present study investigates the performance of 21 monolingual and 56 bilingual children aged 5;6-...

Artificial intelligence, bias and clinical safety.

NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks.

Traditional recommender systems rely on user profiling based on either user ratings or reviews throu...

Using a stacked-autoencoder neural network model to estimate sea state bias for a radar altimeter.

This paper constructed a stacked-autoencoder neural network model (SAE model) to estimate sea state ...

Unsupervised Person Re-Identification by Deep Asymmetric Metric Embedding.

Person re-identification (Re-ID) aims to match identities across non-overlapping camera views. Resea...

Evaluation of the bias and precision of regression techniques and machine learning approaches in total dissolved solids modeling of an urban aquifer.

TDS is modeled for an aquifer near an unlined landfill in Canada. Canadian Drinking Water Guidelines...

An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes.

For many disease-causing virus species, global diversity is clustered into a taxonomy of subtypes wi...

Unity and diversity in working memory load: Evidence for the separability of the executive functions updating and inhibition using machine learning.

OBJECTIVE: According to current theoretical models of working memory (WM), executive functions (EFs)...

Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome.

BACKGROUND: Multicolor flow cytometry (MFC) analysis is widely used to identify minimal residual dis...

Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies.

Over the recent years, ontologies are widely used in various domains such as medical records annotat...

Automatic glomerular identification and quantification of histological phenotypes using image analysis and machine learning.

Current methods of scoring histological kidney samples, specifically glomeruli, do not allow for col...

The Impact of Health Equity Coaching on Patient's Perceptions of Cultural Competency and Communication in a Pediatric Emergency Department: An Intervention Design.

PURPOSE: American Indian (AI) children experience significant disparities in health-care access. As ...

Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease.

Prognostic modelling is important in clinical practice and epidemiology for patient management and r...

Expanding the Diversity of Texts and Applications: Findings from the Section on Clinical Natural Language Processing of the International Medical Informatics Association Yearbook.

OBJECTIVES:  To summarize recent research and present a selection of the best papers published in 20...

Application of fuzzy logic tools for the biogeochemical characterisation of (un)contaminated waters from Aljustrel mining area (South Portugal).

Aljustrel mining area (South Portugal) belongs to the Iberian Pyrite Belt (IPB). It is classified of...

The Association of Urban Greenness and Walking Behavior: Using Google Street View and Deep Learning Techniques to Estimate Residents' Exposure to Urban Greenness.

Many studies have established that urban greenness is associated with better health outcomes. Yet mo...

Deep reinforcement learning for de novo drug design.

We have devised and implemented a novel computational strategy for de novo design of molecules with ...

Multilevel Feature Representation of FDG-PET Brain Images for Diagnosing Alzheimer's Disease.

Using a single imaging modality to diagnose Alzheimer's disease (AD) or mild cognitive impairment (M...