Caitlin Monaghan
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View article: Home Dialysis Prediction Using Artificial Intelligence
Home Dialysis Prediction Using Artificial Intelligence Open
View article: #2924 Comparison of large language models and traditional natural language processing techniques in predicting arteriovenous fistula failure
#2924 Comparison of large language models and traditional natural language processing techniques in predicting arteriovenous fistula failure Open
Background and Aims Large language models (LLMs) have gained significant attention in the field of natural language processing (NLP), marking a shift from traditional techniques like Term Frequency-Inverse Document Frequency (TF-IDF). We d…
View article: Predicting SARS-CoV-2 infection among hemodialysis patients using multimodal data
Predicting SARS-CoV-2 infection among hemodialysis patients using multimodal data Open
Background The coronavirus disease 2019 (COVID-19) pandemic has created more devastation among dialysis patients than among the general population. Patient-level prediction models for severe acute respiratory syndrome coronavirus 2 (SARS-C…
View article: Predictors of shorter- and longer-term mortality after COVID-19 presentation among dialysis patients: parallel use of machine learning models in Latin and North American countries
Predictors of shorter- and longer-term mortality after COVID-19 presentation among dialysis patients: parallel use of machine learning models in Latin and North American countries Open
View article: Predictors of Shorter- and Longer-Term Mortality after COVID-19 Presentation among Dialysis Patients: Parallel Use of Machine Learning Models in Latin and North American Countries
Predictors of Shorter- and Longer-Term Mortality after COVID-19 Presentation among Dialysis Patients: Parallel Use of Machine Learning Models in Latin and North American Countries Open
Background: We developed machine learning models to understand the predictors of shorter-, intermediate-, and longer-term mortality among hemodialysis (HD) patients affected by COVID-19 in four countries in the Americas. Methods: We used d…
View article: Trajectories of clinical and laboratory characteristics associated with <scp>COVID</scp> ‐19 in hemodialysis patients by survival
Trajectories of clinical and laboratory characteristics associated with <span>COVID</span> ‐19 in hemodialysis patients by survival Open
Introduction The clinical impact of COVID‐19 has not been established in the dialysis population. We evaluated the trajectories of clinical and laboratory parameters in hemodialysis (HD) patients. Methods We used data from adult HD patient…
View article: Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure
Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure Open
Background Inadequate refilling from extravascular compartments during hemodialysis can lead to intradialytic symptoms, such as hypotension, nausea, vomiting, and cramping/myalgia. Relative blood volume (RBV) plays an important role in ada…
View article: POS-534 TRAJECTORIES OF CLINICAL AND LABORATORY CHARACTERISTICS ASSOCIATED WITH COVID-19 IN HEMODIALYSIS PATIENTS BY SURVIVAL
POS-534 TRAJECTORIES OF CLINICAL AND LABORATORY CHARACTERISTICS ASSOCIATED WITH COVID-19 IN HEMODIALYSIS PATIENTS BY SURVIVAL Open
We evaluated the trajectories of clinical and laboratory assessments associated with COVID-19 in hemodialysis (HD) patients who survived or died within 30 days after suspicion. For comparison, we also evaluated consistent trajectories befo…
View article: Trajectories of Clinical and Laboratory Characteristics Associated with COVID-19 in Hemodialysis Patients by Survival
Trajectories of Clinical and Laboratory Characteristics Associated with COVID-19 in Hemodialysis Patients by Survival Open
Introduction The clinical impact of COVID-19 has not been established in the dialysis population. We evaluated the trajectories of clinical and laboratory parameters in hemodialysis (HD) patients. Methods We used data from adult HD patient…
View article: Machine Learning for Prediction of Patients on Hemodialysis with an Undetected SARS-CoV-2 Infection
Machine Learning for Prediction of Patients on Hemodialysis with an Undetected SARS-CoV-2 Infection Open
Background We developed a machine learning (ML) model that predicts the risk of a patient on hemodialysis (HD) having an undetected SARS-CoV-2 infection that is identified after the following ≥3 days. Methods As part of a healthcare operat…
View article: Artificial intelligence enabled applications in kidney disease
Artificial intelligence enabled applications in kidney disease Open
Artificial intelligence (AI) is considered as the next natural progression of traditional statistical techniques. Advances in analytical methods and infrastructure enable AI to be applied in health care. While AI applications are relativel…
View article: Artificial Intelligence for COVID-19 Risk Classification in Kidney Disease: Can Technology Unmask an Unseen Disease?
Artificial Intelligence for COVID-19 Risk Classification in Kidney Disease: Can Technology Unmask an Unseen Disease? Open
Background We developed two unique machine learning (ML) models that predict risk of: 1) a major COVID-19 outbreak in the service county of a local HD population within following week, and 2) a hemodialysis (HD) patient having an undetecte…
View article: A longitudinal study of event related potentials and correlations with psychosocial functioning and clinical features in first episode psychosis patients
A longitudinal study of event related potentials and correlations with psychosocial functioning and clinical features in first episode psychosis patients Open
View article: The firing rate speed code of entorhinal speed cells differs across behaviorally relevant time scales and does not depend on medial septum inputs
The firing rate speed code of entorhinal speed cells differs across behaviorally relevant time scales and does not depend on medial septum inputs Open
The firing rate of speed cells, a dedicated subpopulation of neurons in the medial entorhinal cortex (MEC), is correlated with running speed. This correlation has been interpreted as a speed code used in various computational models for pa…
View article: Systemic administration of two different anxiolytic drugs decreases local field potential theta frequency in the medial entorhinal cortex without affecting grid cell firing fields
Systemic administration of two different anxiolytic drugs decreases local field potential theta frequency in the medial entorhinal cortex without affecting grid cell firing fields Open
View article: Reconciling the different faces of hippocampal theta: The role of theta oscillations in cognitive, emotional and innate behaviors
Reconciling the different faces of hippocampal theta: The role of theta oscillations in cognitive, emotional and innate behaviors Open
The theta oscillation (5-10Hz) is a prominent behavior-specific brain rhythm. This review summarizes studies showing the multifaceted role of theta rhythm in cognitive functions, including spatial coding, time coding and memory, explorator…