AIMC Topic: Hospitalization
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Narrowing the gap: expected versus deployment performance.
Journal of the American Medical Informatics Association : JAMIA
Aug 18, 2023
OBJECTIVES: Successful model development requires both an accurate a priori understanding of future performance and high performance on deployment. Optimistic estimations of model performance that are unrealized in real-world clinical settings can co...
Identification of Subphenotypes of Opioid Use Disorder Using Unsupervised Machine Learning.
Studies in health technology and informatics
May 18, 2023
This paper aimed to detect the latent clusters of patients with opioid use disorder and to identify the risk factors affecting drug misuse using unsupervised machine learning. The cluster with the highest proportion of successful treatment outcomes w...
Impact of Professional Background on Inter-Annotator Variability and Accuracy During Annotation of Clinical Notes.
Studies in health technology and informatics
May 2, 2023
BACKGROUND: The aging population's need for treatment of chronic diseases is exhibiting a marked increase in urgency, with heart failure being one of the most severe diseases in this regard. To improve outpatient care of these patients and reduce hos...
Predictive Modeling to Identify Children With Complex Health Needs At Risk for Hospitalization.
Hospital pediatrics
May 1, 2023
BACKGROUND: Identifying children at high risk with complex health needs (CCHN) who have intersecting medical and social needs is challenging. This study's objectives were to (1) develop and evaluate an electronic health record (EHR)-based clinical pr...
Machine Learning, Predicting Future Hospitalizations, and the Importance of Perception.
Hospital pediatrics
May 1, 2023
Using artificial intelligence to improve pain assessment and pain management: a scoping review.
Journal of the American Medical Informatics Association : JAMIA
Feb 16, 2023
CONTEXT: Over 20% of US adults report they experience pain on most days or every day. Uncontrolled pain has led to increased healthcare utilization, hospitalization, emergency visits, and financial burden. Recognizing, assessing, understanding, and t...
Identification of spinal tuberculosis subphenotypes using routine clinical data: a study based on unsupervised machine learning.
Annals of medicine
Jan 1, 2023
OBJECTIVE: The identification of spinal tuberculosis subphenotypes is an integral component of precision medicine. However, we lack proper study models to identify subphenotypes in patients with spinal tuberculosis. Here we identified possible subphe...
Cost supervision mining from EMR based on artificial intelligence technology.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2023
BACKGROUND: To effectively monitor medical insurance funds in the era of big data, the study tries to construct an inpatient cost rationality judgement model by designing a virtuous cycle of inpatient cost supervision information system and exploring...
Development and Validation of a Machine Learning Algorithm Predicting Emergency Department Use and Unplanned Hospitalization in Patients With Head and Neck Cancer.
JAMA otolaryngology-- head & neck surgery
Aug 1, 2022
IMPORTANCE: Patient-reported symptom burden was recently found to be associated with emergency department use and unplanned hospitalization (ED/Hosp) in patients with head and neck cancer. It was hypothesized that symptom scores could be combined wit...
Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients.
Studies in health technology and informatics
Jun 29, 2022
Artificial intelligence processes are increasingly being used in emergency medicine, notably for supporting clinical decisions and potentially improving healthcare services. This study investigated demographics, coagulation tests, and biochemical mar...
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