AIMC Topic: Patient Readmission

Clear Filters Showing 51 to 60 of 198 articles

Deep learning prediction of hospital readmissions for asthma and COPD.

Respiratory research Dec 13, 2023
QUESTION: Severe asthma and COPD exacerbations requiring hospitalization are linked to increased disease morbidity and healthcare costs. We sought to identify Electronic Health Record (EHR) features of severe asthma and COPD exacerbations and evaluat...
Retrospective Studies Female Hospitalization Humans Male Deep Learning Patient Readmission Pulmonary Disease, Chronic Obstructive Asthma
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Surgery's Rosetta Stone: Natural language processing to predict discharge and readmission after general surgery.

Surgery Sep 29, 2023
BACKGROUND: This study aimed to examine the accuracy with which multiple natural language processing artificial intelligence models could predict discharge and readmissions after general surgery.
Patient Readmission Humans Artificial Intelligence Natural Language Processing Patient Discharge Australia
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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 ...
Hospital Mortality Natural Language Processing Area Under Curve Comorbidity Length of Stay Insurance Coverage Patient Readmission Clinical Trials as Topic Humans Physicians Clinical Decision-Making Point-of-Care Systems Electronic Health Records
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Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach.

BMC medical informatics and decision making Jun 5, 2023
BACKGROUND: Advanced machine learning models have received wide attention in assisting medical decision making due to the greater accuracy they can achieve. However, their limited interpretability imposes barriers for practitioners to adopt them. Rec...
Humans Neural Networks, Computer Risk Factors Patient Readmission Machine Learning Algorithms
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Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 29, 2023
A hospital readmission risk prediction tool for patients with diabetes based on electronic health record (EHR) data is needed. The optimal modeling approach, however, is unclear. In 2,836,569 encounters of 36,641 diabetes patients, deep learning (DL)...
Diabetes Mellitus Deep Learning Humans Patient Readmission ROC Curve Neural Networks, Computer
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Effect of an Artificial Intelligence Decision Support Tool on Palliative Care Referral in Hospitalized Patients: A Randomized Clinical Trial.

Journal of pain and symptom management Feb 24, 2023
CONTEXT: Palliative care services are commonly provided to hospitalized patients, but accurately predicting who needs them remains a challenge.
Patient Readmission Referral and Consultation Palliative Care Humans Artificial Intelligence Hospitalization
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Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning.

International journal of environmental research and public health Feb 16, 2023
It is of great interest to develop and introduce new techniques to automatically and efficiently analyze the enormous amount of data generated in today's hospitals, using state-of-the-art artificial intelligence methods. Patients readmitted to the IC...
Bayes Theorem Patient Readmission Machine Learning Intensive Care Units Humans Artificial Intelligence
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Knowledge Graph Embeddings for ICU readmission prediction.

BMC medical informatics and decision making Jan 19, 2023
BACKGROUND: Intensive Care Unit (ICU) readmissions represent both a health risk for patients,with increased mortality rates and overall health deterioration, and a financial burden for healthcare facilities. As healthcare became more data-driven with...
Humans Patient Readmission Biological Ontologies Pattern Recognition, Automated Machine Learning Intensive Care Units
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Readmissions after radical nephrectomy in a national cohort.

Scandinavian journal of urology Jan 16, 2023
OBJECTIVE: To analyze the factors and costs associated with 30-day readmissions for patients undergoing radical nephrectomy.
Hospitalization Adult United States Robotics Postoperative Complications Retrospective Studies Risk Factors Humans Databases, Factual Patient Readmission Nephrectomy
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Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data.

IEEE journal of biomedical and health informatics Dec 7, 2022
In a hospital, accurate and rapid mortality prediction of Length of Stay (LOS) is essential since it is one of the essential measures in treating patients with severe diseases. When predictions of patient mortality and readmission are combined, these...
Patient Readmission Length of Stay Machine Learning Humans Deep Learning Cost-Benefit Analysis
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