AIMC Topic: Comorbidity

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Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.

Scientific reports Jul 16, 2023
Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajectories, and outcomes. The aim of this study is to validate a novel machine learning method for the phenotyping of diabetes in the context of comorbiditie...
Aged Male Cardiovascular Diseases Phenotype Female Diabetes Mellitus Unsupervised Machine Learning Kidney Diseases Risk Assessment Comorbidity Middle Aged Humans Data Analysis
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Representation of time-varying and time-invariant EMR data and its application in modeling outcome prediction for heart failure patients.

Journal of biomedical informatics Jun 18, 2023
OBJECTIVE: To represent a patient record with both time-invariant and time-varying features as a single vector using an end-to-end deep learning model, and further to predict the kidney failure (KF) status and mortality of heart failure (HF) patients...
Prognosis Comorbidity Heart Failure Humans Machine Learning Patients
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Health system-scale language models are all-purpose prediction engines.

Nature Jun 7, 2023
Physicians make critical time-constrained decisions every day. Clinical predictive models can help physicians and administrators make decisions by forecasting clinical and operational events. Existing structured data-based clinical predictive models ...
Electronic Health Records Clinical Decision-Making Point-of-Care Systems Humans Physicians Patient Readmission Clinical Trials as Topic Insurance Coverage Hospital Mortality Natural Language Processing Area Under Curve Comorbidity Length of Stay
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Machine learning functional impairment classification with electronic health record data.

Journal of the American Geriatrics Society May 17, 2023
BACKGROUND: Poor functional status is a key marker of morbidity, yet is not routinely captured in clinical encounters. We developed and evaluated the accuracy of a machine learning algorithm that leveraged electronic health record (EHR) data to provi...
Male Comorbidity Humans Hospitalization Machine Learning Electronic Health Records Aged Female Algorithms
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Prediction of disease comorbidity using explainable artificial intelligence and machine learning techniques: A systematic review.

International journal of medical informatics May 4, 2023
OBJECTIVE: Disease comorbidity is a major challenge in healthcare affecting the patient's quality of life and costs. AI-based prediction of comorbidities can overcome this issue by improving precision medicine and providing holistic care. The objecti...
Artificial Intelligence Machine Learning Comorbidity Eligibility Determination Quality of Life Humans
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Assessing the utility of a sliding-windows deep neural network approach for risk prediction of trauma patients.

Scientific reports Mar 30, 2023
The risks of post trauma complications are regulated by the injury, comorbidities, and the clinical trajectories, yet prediction models are often limited to single time-point data. We hypothesize that deep learning prediction models can be used for r...
Neural Networks, Computer Comorbidity Benchmarking Quality Improvement Area Under Curve Humans
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Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups.

Scientific reports Mar 11, 2023
Electronic health records (EHRs) are used in hospitals to store diagnoses, clinician notes, examinations, lab results, and interventions for each patient. Grouping patients into distinct subsets, for example, via clustering, may enable the discovery ...
Time Factors Intensive Care Units Humans Electronic Health Records Machine Learning Comorbidity
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Predicting childhood and adolescent attention-deficit/hyperactivity disorder onset: a nationwide deep learning approach.

Molecular psychiatry Dec 19, 2022
Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous disorder with a high degree of psychiatric and physical comorbidity, which complicates its diagnosis in childhood and adolescence. We analyzed registry data from 238,696 persons born ...
Attention Deficit Disorder with Hyperactivity Learning Disabilities Deep Learning Adolescent Sweden Male Humans Comorbidity
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Intervention with a humanoid robot avatar for individuals with social anxiety disorders comorbid with autism spectrum disorders.

Asian journal of psychiatry Nov 4, 2022
For some individuals with social anxiety disorders (SAD) comorbid with autism spectrum disorders (ASD), it is difficult to speak in front of others. Herein, we report the case of a patient with SAD comorbid with ASD who could not speak in front of ot...
Comorbidity Humans Motivation Robotics Autism Spectrum Disorder Phobia, Social Female
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Using Unsupervised Machine Learning Methods to Cluster Comorbidities in a Population-Based Cohort of Patients With Rheumatoid Arthritis.

Arthritis care & research Sep 15, 2022
OBJECTIVE: To identify clusters of comorbidities in patients with rheumatoid arthritis (RA) using 4 methods and to compare to patients without RA.
Middle Aged Unsupervised Machine Learning Humans Female Arthritis, Rheumatoid Reproducibility of Results Retrospective Studies Male Comorbidity
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