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Domestic Violence

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

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Progress of machine learning in the application of small molecule druggability prediction.

Machine learning (ML) has become an important tool for predicting the pharmaceutical properties of s...

Partial directed coherence analysis of resting-state EEG signals for alcohol use disorder detection using machine learning.

INTRODUCTION: Excessive alcohol consumption negatively impacts physical and psychiatric health, life...

A machine learning approach for estimating Eastern Asian origins from massive screening of Y chromosomal short tandem repeats polymorphisms.

Inferring the ancestral origin of DNA evidence recovered from crime scenes is crucial in forensic in...

Artificial intelligence in healthcare: transforming patient safety with intelligent systems-A systematic review.

INTRODUCTION: Adverse events in hospitals significantly compromise patient safety and trust in healt...

Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study.

Screening tests for disease have their performance measured through sensitivity and specificity, whi...

Nationwide real-world implementation of AI for cancer detection in population-based mammography screening.

Artificial intelligence (AI) in mammography screening has shown promise in retrospective evaluations...

Rapid detection of drug abuse via tear analysis using surface enhanced Raman spectroscopy and machine learning.

With the growing global challenge of drug abuse, there is an urgent need for rapid, accurate, and co...

Screening of serum biomarkers in patients with PCOS through lipid omics and ensemble machine learning.

Polycystic ovary syndrome (PCOS) is a primary endocrine disorder affecting premenopausal women invol...

[Population screening for acupuncture treatment of neck pain: a machine learning study].

OBJECTIVE: To screen the population for acupuncture treatment of neck pain, using functional magneti...

Accelerated Screening of Highly Sensitive Gas Sensor Materials for Greenhouse Gases Based on DFT and Machine Learning Methods.

Greenhouse gases (GHGs) have caused great harm to the ecological environment, so it is necessary to ...

Evaluating the pathological and clinical implications of errors made by an artificial intelligence colon biopsy screening tool.

OBJECTIVE: Artificial intelligence (AI) tools for histological diagnosis offer great potential to he...

High performance COVID-19 screening using machine learning.

Since the World Health Organization declared the Coronavirus Disease 2019 (COVID-19) pandemic as an ...

Differential gray matter correlates and machine learning prediction of abuse and internalizing psychopathology in adolescent females.

Childhood abuse represents one of the most potent risk factors for the development of psychopatholog...

Stress Monitoring in Pandemic Screening: Insights from GSR Sensor and Machine Learning Analysis.

This study investigates the impact of patient stress on COVID-19 screening. An attempt was made to m...

Prediction of sepsis among patients with major trauma using artificial intelligence: a multicenter validated cohort study.

BACKGROUND: Sepsis remains a significant challenge in patients with major trauma in the ICU. Early d...

Forecasting Pediatric Trauma Volumes: Insights From a Retrospective Study Using Machine Learning.

INTRODUCTION: Rising pediatric firearm-related fatalities in the United States strain Trauma Centers...

Human intention recognition for trauma resuscitation: An interpretable deep learning approach for medical process data.

OBJECTIVE: Trauma resuscitation is the initial evaluation and management of injured patients in the ...

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