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Domestic Violence

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

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Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing.

Quality reporting that relies on coded administrative data alone may not completely and accurately d...

Detecting Opioid-Related Aberrant Behavior using Natural Language Processing.

The United States is in the midst of a prescription opioid epidemic, with the number of yearly opioi...

Deep Learning Solutions for Classifying Patients on Opioid Use.

Opioid analgesics, as commonly prescribed medications used for relieving pain in patients, are espec...

Virtual screening by a new Clustering-based Weighted Similarity Extreme Learning Machine approach.

Machine learning techniques are becoming popular in virtual screening tasks. One of the powerful mac...

Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia.

Identifying trauma patients at risk of imminent hemorrhagic shock is a challenging task in intraoper...

Robotic Patterning a Superhydrophobic Surface for Collective Cell Migration Screening.

Collective cell migration, in which cells migrate as a group, is fundamental in many biological and ...

Successful bystander-administered intranasal naloxone reversal of opioid overdose between two veterans: A case report.

Opioid overdose-related morbidity and mortality remain one of the most pressing public health crises...

Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical- Approach Combining Experiments and Machine Learning.

Life-threatening cardiomyopathy is a severe, but common, complication associated with severe trauma ...

Flexible robotic catheters in the visceral segment of the aorta: advantages and limitations.

Flexible robotic catheters are an emerging technology which provide an elegant solution to the chall...

Technology-assisted title and abstract screening for systematic reviews: a retrospective evaluation of the Abstrackr machine learning tool.

BACKGROUND: Machine learning tools can expedite systematic review (SR) processes by semi-automating ...

Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study.

We assessed the feasibility of a data-driven imaging biomarker based on weakly supervised learning (...

Screening of Mangifera indica L. functional content using PCA and neural networks (ANN).

A method using reversed-phase high-performance liquid chromatography with diode array detection (HPL...

MIRO: guidelines for minimum information for the reporting of an ontology.

BACKGROUND: Creation and use of ontologies has become a mainstream activity in many disciplines, in ...

Deep Convolutional Neural Networks for breast cancer screening.

BACKGROUND AND OBJECTIVE: Radiologists often have a hard time classifying mammography mass lesions w...

Delirium Prediction using Machine Learning Models on Preoperative Electronic Health Records Data.

Electronic Health Records (EHR) are mainly designed to record relevant patient information during th...

Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening.

This work introduces a number of algebraic topology approaches, including multi-component persistent...

Differential effects of childhood neglect and abuse during sensitive exposure periods on male and female hippocampus.

The hippocampus is a highly stress susceptible structure and hippocampal abnormalities have been rep...

Depression and alcohol use disorder at antiretroviral therapy initiation led to disengagement from care in South Africa.

We sought to assess mental health at the time of antiretroviral therapy (ART) initiation and subsequ...

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