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Domestic Violence

Latest AI and machine learning research in domestic violence for healthcare professionals.

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Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network.

Over the past few decades, the rise of multiple chronic conditions has become a major concern for cl...

A new computational intelligence approach to detect autistic features for autism screening.

Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disability diagnosis. Gen...

Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies.

Machine learning (ML) algorithms are gaining importance in the processing of chemical information an...

The past, present and future role of artificial intelligence in imaging.

Artificial intelligence (AI) is already widely employed in various medical roles, and ongoing techno...

Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm.

Route optimization of hazardous materials transportation is one of the basic steps in ensuring the s...

Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.

BACKGROUND & AIMS: The benefit of colonoscopy for colorectal cancer prevention depends on the adenom...

A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool.

STUDY OBJECTIVES: This study evaluated a novel artificial neural network (ANN) based sleep-disordere...

Development of Ligand-based Big Data Deep Neural Network Models for Virtual Screening of Large Compound Libraries.

High-performance ligand-based virtual screening (VS) models have been developed using various comput...

Personalizing Affective Stimuli Using a Recommender Algorithm: An Example with Threatening Words for Trauma Exposed Populations.

Experimental paradigms used in affective and clinical science often use stimuli such as images, scen...

Evaluation of Natural Language Processing (NLP) systems to annotate drug product labeling with MedDRA terminology.

INTRODUCTION: The FDA Adverse Event Reporting System (FAERS) is a primary data source for identifyin...

Evaluation of the DOAC-StopĀ® Procedure to Overcome the Effect of DOACs on Several Thrombophilia Screening Tests.

The impact of direct oral anticoagulants (DOACs) on laboratory assays used for thrombophilia testing...

A metabolomics-based approach for non-invasive screening of fetal central nervous system anomalies.

BACKGROUND: Central nervous system anomalies represent a wide range of congenital birth defects, wit...

Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder.

OBJECTIVE: In this paper, we aim to investigate the effect of computer-aided triage system, which is...

Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models.

Tuberculosis (TB) remains a significant public health challenge, motivated by the diversity of healt...

Structured radiology reporting on an institutional level-benefit or new administrative burden?

Significant technical advances have been made in radiology since the first discovery of X-rays. Diag...

Automated screening of research studies for systematic reviews using study characteristics.

BACKGROUND: Screening candidate studies for inclusion in a systematic review is time-consuming when ...

An Efficient Mixed-Model for Screening Differentially Expressed Genes of Breast Cancer Based on LR-RF.

To screen differentially expressed genes quickly and efficiently in breast cancer, two gene microarr...

Automated EEG-based screening of depression using deep convolutional neural network.

In recent years, advanced neurocomputing and machine learning techniques have been used for Electroe...

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