State Required CME

Identifying and Reporting Dependent Adult abuse

Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.

1,920 articles
Stay Ahead - Weekly Identifying and Reporting Dependent Adult abuse research updates
Subscribe
Browse Specialties
Showing 547-567 of 1,920 articles
An Extended SNOMED CT Concept Model for Observations in Molecular Genetics.

Molecular genetics laboratory reports are multiplying and increasingly of clinical importance in dia...

An Integrated Soft Computing Approach to Hughes Syndrome Risk Assessment.

The AntiPhospholipid Syndrome (APS) is an acquired autoimmune disorder induced by high levels of ant...

Assessing Quality of Care and Elder Abuse in Nursing Homes via Google Reviews.

BACKGROUND: It is challenging to assess the quality of care and detect elder abuse in nursing homes,...

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View.

BACKGROUND: As more and more researchers are turning to big data for new opportunities of biomedical...

Dyslipidemia and its relationship with antiphospholipid antibodies in APS patients in North Kerala.

OBJECTIVE: Antiphospholipid antibody syndrome (APS) is one of the most common acquired thrombophilic...

Lateral specialization in unilateral spatial neglect: a cognitive robotics model.

In this paper, we present the experimental results of an embodied cognitive robotic approach for mod...

Small-World Propensity and Weighted Brain Networks.

Quantitative descriptions of network structure can provide fundamental insights into the function of...

Reporting phenotypes in mouse models when considering body size as a potential confounder.

Genotype-phenotype studies aim to identify causative relationships between genes and phenotypes. The...

Automated mutual exclusion rules discovery for structured observational codes in echocardiography reporting.

Structured reporting in medicine has been argued to support and enhance machine-assisted processing ...

Recognition of activities of daily living in healthy subjects using two ad-hoc classifiers.

BACKGROUND: Activities of daily living (ADL) are important for quality of life. They are indicators ...

Eigenspectrum bounds for semirandom matrices with modular and spatial structure for neural networks.

The eigenvalue spectrum of the matrix of directed weights defining a neural network model is informa...

Natural language processing as an alternative to manual reporting of colonoscopy quality metrics.

BACKGROUND AND AIMS: The adenoma detection rate (ADR) is a quality metric tied to interval colon can...

The IDEAL prospective development study format for reporting surgical innovations. An illustrative case study of robotic oesophagectomy.

BACKGROUND: The early development of innovative surgical procedures is usually reported as retrospec...

Effect of reporting bias in the analysis of spontaneous reporting data.

It is well-known that a spontaneous reporting system suffers from significant under-reporting of adv...

Total nitrogen levels as a key constraint on soil organic carbon stocks across Australian agricultural soils.

Understanding how pedoclimatic drivers regulate soil organic carbon (SOC) stock is crucial for gaini...

Comparing Deterministic and Stochastic Reinforcement Learning for Glucose Regulation in Type 1 Diabetes.

Type 1 Diabetes (T1D) is a chronic condition affecting millions worldwide, requiring external insuli...

Fada: Fetal Accurate Detection AI for Automated Ultrasound Image Analysis and Reporting.

This study introduces Fetal Accurate Detection AI (FADA) an advanced AI-driven framework for generat...

Improving Zero-Shot Multiclass Classification for Narrative Reports from National Violent Death Reporting System.

The natural language processing pipeline powered by the BART model is a popular zero-shot text class...

Artificial intelligence applications in the screening and classification of glioblastoma.

Glioblastoma is the most aggressive primary brain tumor, with poor prognosis following initial ident...

Browse Specialties