AIMC Topic: Patient Acuity

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Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Medically complex patients consume a disproportionate amount of care resources in hospitals but still often end up with sub-optimal clinical outcomes. Predicting dynamics of complexity in such patients can potentially help improve the quality of care...
Clinical Coding Child Health Services Area Under Curve Patient Acuity Data Mining Datasets as Topic Electronic Health Records Humans Child ROC Curve Neural Networks, Computer Logistic Models Longitudinal Studies
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Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Catheter-associated urinary tract infection (CAUTI) is a common and costly healthcare-associated infection, yet measuring it accurately is challenging and resource-intensive. Electronic surveillance promises to make this task more objective and effic...
Prospective Studies Electronic Health Records Monitoring, Physiologic Natural Language Processing Patient Acuity Data Mining Documentation Catheter-Related Infections Urinary Tract Infections Humans Algorithms Cross Infection
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Interleukin-6 and interleukin-8 levels in children with aplastic anemia and its correlation with disease severity and response to immunosuppressive therapy.

Annals of African medicine Jan 1, 2023
BACKGROUND: Aplastic anemia (AA) is an uncommon condition characterized by pancytopenia and hypocellular bone marrow. Interleukin (IL)-6 and IL-8 have been shown to inhibit myelopoiesis and are major mediators of tissue damage. The primary goal of th...
Anemia, Aplastic Patient Acuity Humans Treatment Outcome Interleukin-6 Adolescent Immunosuppressive Agents Child Interleukin-8 Immunosuppression Therapy
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Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S).

Critical care medicine Jan 1, 2022
OBJECTIVES: Delirium is a common and frequently underdiagnosed complication in acutely hospitalized patients, and its severity is associated with worse clinical outcomes. We propose a physiologically based method to quantify delirium severity as a to...
Male Middle Aged Hospitals Comorbidity Retrospective Studies Female Aged Adult Electroencephalography Patient Acuity Delirium Academic Medical Centers Confusion Severity of Illness Index Length of Stay Hospital Mortality Image Processing, Computer-Assisted Humans Machine Learning Prognosis
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Deep learning for abdominal ultrasound: A computer-aided diagnostic system for the severity of fatty liver.

Journal of the Chinese Medical Association : JCMA Sep 1, 2021
BACKGROUND: The prevalence of nonalcoholic fatty liver disease is increasing over time worldwide, with similar trends to those of diabetes and obesity. A liver biopsy, the gold standard of diagnosis, is not favored due to its invasiveness. Meanwhile,...
Deep Learning Ultrasonography Abdomen Humans Patient Acuity United States Retrospective Studies Non-alcoholic Fatty Liver Disease
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Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset.

Journal of the American Medical Informatics Association : JAMIA Feb 15, 2021
OBJECTIVE: The lack of representative coronavirus disease 2019 (COVID-19) data is a bottleneck for reliable and generalizable machine learning. Data sharing is insufficient without data quality, in which source variability plays an important role. We...
COVID-19 Female Aged Adult Male Humans Machine Learning Datasets as Topic Middle Aged Computer Communication Networks Patient Acuity Data Accuracy Information Dissemination
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Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning.

Cancer control : journal of the Moffitt Cancer Center Jan 1, 2021
INTRODUCTION: Accurate prediction of patient prognosis can be especially useful for the selection of best treatment protocols. Machine Learning can serve this purpose by making predictions based upon generalizable clinical patterns embedded within le...
Logistic Models Support Vector Machine Age Factors Ovarian Neoplasms Aged Aged, 80 and over Adult Middle Aged Patient Acuity Cystadenocarcinoma, Serous Humans Machine Learning Prospective Studies Prognosis Female
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Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: To use unsupervised topic modeling to evaluate heterogeneity in sepsis treatment patterns contained within granular data of electronic health records.
Unsupervised Machine Learning Patient Acuity Quality of Health Care Male Middle Aged Sepsis Hospital Mortality Retrospective Studies Hospitalization Electronic Health Records Aged Humans Female Aged, 80 and over Anti-Bacterial Agents Adult
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Machine learning for psychiatric patient triaging: an investigation of cascading classifiers.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2018
OBJECTIVE: Develop an approach, One-class-at-a-time, for triaging psychiatric patients using machine learning on textual patient records. Our approach aims to automate the triaging process and reduce expert effort while providing high classification ...
Patient Acuity Pattern Recognition, Automated Classification Medical Records Decision Support Techniques Mental Disorders Reproducibility of Results Triage Humans Machine Learning Algorithms
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Risk factors for diastolic left ventricular myocardial dysfunction in patients with chronic kidney disease.

Terapevticheskii arkhiv Sep 20, 2018
AIM: To examine the frequency and risk factors for the development of diastolic dysfunction (DD) of the left ventricle (LV) of the heart in patients with chronic kidney disease (CKD).
Cystatin C Patient Acuity Ventricular Remodeling Ventricular Dysfunction, Left Humans Disease Progression Risk Factors Russia Female Incidence Male Hypertrophy, Left Ventricular Renal Insufficiency, Chronic Echocardiography Glomerular Filtration Rate Middle Aged
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