AIMC Topic: Patient Discharge

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Development of a Machine Learning-Based Prescriptive Tool to Address Racial Disparities in Access to Care After Penetrating Trauma.

JAMA surgery Oct 1, 2023
IMPORTANCE: The use of artificial intelligence (AI) in clinical medicine risks perpetuating existing bias in care, such as disparities in access to postinjury rehabilitation services.
Male Middle Aged United States Machine Learning Female Adult Black or African American White Wounds, Penetrating Health Services Accessibility Healthcare Disparities Patient Discharge Humans
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Long-term SARS-CoV-2 neutralizing antibody level prediction using multimodal deep learning: A prospective cohort study on longitudinal data in Wuhan, China.

Journal of medical virology Aug 1, 2023
The ongoing epidemic of SARS-CoV-2 is taking a substantial financial and health toll on people worldwide. Assessing the level and duration of SARS-CoV-2 neutralizing antibody (Nab) would provide key information for government to make sound healthcare...
Humans China Antibodies, Viral Aftercare Patient Discharge Antibodies, Neutralizing COVID-19 Immunoglobulin G Prospective Studies SARS-CoV-2 Deep Learning
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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...
Humans Analgesics, Opioid Opioid-Related Disorders Hospitalization Unsupervised Machine Learning Patient Discharge
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Same-Day Discharge Protocol for Robot-Assisted Radical Prostatectomy: Experience of a High-Volume Referral Center.

Journal of endourology Jul 1, 2022
As the coronavirus disease 2019 (COVID-19) global pandemic continues, there is increased value in performing same-day discharge (SDD) protocols to minimize viral exposure and maintain the appropriate surgical treatment for oncologic patients. In thi...
Nausea Dizziness Pain Referral and Consultation Prostatectomy COVID-19 Male Postoperative Complications Robotics Robotic Surgical Procedures Patient Discharge Humans
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Hospital Readmission Prediction via Keyword Extraction and Sentiment Analysis on Clinical Notes.

Studies in health technology and informatics Jun 29, 2022
Unplanned hospital readmission is a problem that affects hospitals worldwide and is due to different factors. The identification of those factors can help determine which patients are at greater risk of hospital readmission for early intervention. Ou...
Humans Medical Records Natural Language Processing Retrospective Studies Sentiment Analysis Risk Factors Patient Discharge Logistic Models Patient Readmission
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Early home discharge after robot-assisted coronary artery bypass grafting.

Interactive cardiovascular and thoracic surgery Jun 15, 2022
OBJECTIVES: Robot-assisted coronary artery bypass grafting (CABG) has been developed as a less invasive alternative for conventional CABG to enhance postoperative recovery, patient satisfaction and early discharge to home. Furthermore, it may provide...
Patient Discharge Coronary Artery Bypass Robotics Coronary Artery Disease Humans Retrospective Studies Quality of Life Treatment Outcome
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[Artificial Intelligence in internal medicine : development of a model predicting length of stay for non-elective admissions].

Revue medicale suisse Nov 24, 2021
Efficient management of hospitalized patients requires carefully planning each stay by taking into account patients' pathologies and hospital constraints. Therefore, the ability to accurately estimate length of stays allows for better interprofession...
Artificial Intelligence Hospitalization Length of Stay Patient Discharge Internal Medicine Humans
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Artificial neural network prediction of same-day discharge following primary total knee arthroplasty based on preoperative and intraoperative variables.

The bone & joint journal Aug 1, 2021
AIMS: This study used an artificial neural network (ANN) model to determine the most important pre- and perioperative variables to predict same-day discharge in patients undergoing total knee arthroplasty (TKA).
Humans Neural Networks, Computer Forecasting Middle Aged Intraoperative Period Female Arthroplasty, Replacement, Knee Preoperative Period Patient Discharge Aged Ambulatory Surgical Procedures Male Osteoarthritis, Knee
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Application of Cooperative Game Theory Principles to Interpret Machine Learning Models of Nonhome Discharge Following Spine Surgery.

Spine Jun 15, 2021
STUDY DESIGN: Retrospective analysis of prospectively acquired data.
Patient Discharge Machine Learning Spinal Diseases Risk Factors Game Theory Postoperative Complications Humans Comorbidity Models, Statistical Spine
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First Steps to Evaluate an NLP Tool's Medication Extraction Accuracy from Discharge Letters.

Studies in health technology and informatics May 24, 2021
INTRODUCTION: The aim of this study is to evaluate the use of a natural language processing (NLP) software to extract medication statements from unstructured medical discharge letters.
Natural Language Processing Humans Patient Discharge Software
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