Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Understanding genetic mechanism of complex diseases is a serious challenge. Existing methods often neglect the heterogeneity phenomenon of complex diseases, resulting in lack of power or low reproducibility. Addressing heterogeneity when detecting epistatic single nucleotide polymorphisms (SNPs) can enhance the power of association studies and improve prediction performance of complex diseases dia...
Quality reporting that relies on coded administrative data alone may not completely and accurately depict providers' performance. To assess this concern with a test case, we developed and evaluated a natural language processing (NLP) approach to identify falls risk screenings documented in clinical notes of patients without coded falls risk screening data. Extracting information from 1,558 clinica...
The hippocampus is a highly stress susceptible structure and hippocampal abnormalities have been reported in a host of psychiatric disorders including...
Air pollutant concentration forecasting is an effective method of protecting public health by providing an early warning against harmful air pollutant...
With the rapid development of modern medical imaging technology, medical image classification has become more and more important in medical diagnosis ...
The identification of drug target proteins (IDTP) plays a critical role in biometrics. The aim of this study was to retrieve potential drug target pro...
OBJECTIVE: Drug-drug interaction (DDI) is of serious concern, causing over 30% of all adverse drug reactions and resulting in significant morbidity an...
Molecular genetics laboratory reports are multiplying and increasingly of clinical importance in diagnosis and treatment of cancer, infectious disease...
The AntiPhospholipid Syndrome (APS) is an acquired autoimmune disorder induced by high levels of antiphospholipid antibodies that cause arterial and v...
BACKGROUND: It is challenging to assess the quality of care and detect elder abuse in nursing homes, since patients may be incapable of reporting qual...
OBJECTIVE: Antiphospholipid antibody syndrome (APS) is one of the most common acquired thrombophilic disorders resulting in arterial and venous thromb...
The sheer volume of textual information that needs to be reviewed and analyzed in many clinical settings requires the automated retrieval of key clini...
In this paper, we present the experimental results of an embodied cognitive robotic approach for modelling the human cognitive deficit known as unilat...
Quantitative descriptions of network structure can provide fundamental insights into the function of interconnected complex systems. Small-world struc...
Analysis of biogenic amines (BAs) in different human samples provides insight into the mechanisms of various biological processes, including pathologi...
Structured reporting in medicine has been argued to support and enhance machine-assisted processing and communication of pertinent information. Retros...
BACKGROUND: Activities of daily living (ADL) are important for quality of life. They are indicators of cognitive health status and their assessment is...
The eigenvalue spectrum of the matrix of directed weights defining a neural network model is informative of several stability and dynamical properties...
It is well-known that a spontaneous reporting system suffers from significant under-reporting of adverse drug reactions from the source population. Th...
Image-based 3D visual grounding is critical for embodied agents, yet existing benchmarks suffer from loose text-observation alignment and neglect temp...