AIMC Topic: Patient Readmission

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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 Algorithms Risk Factors Patient Readmission Neural Networks, Computer Machine Learning
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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 Patient Readmission ROC Curve Humans 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.
Referral and Consultation Palliative Care Hospitalization Patient Readmission Humans Artificial Intelligence
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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...
Patient Readmission Intensive Care Units Bayes Theorem Artificial Intelligence Machine Learning Humans
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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...
Patient Readmission Biological Ontologies Pattern Recognition, Automated Machine Learning Intensive Care Units Humans
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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 Retrospective Studies Risk Factors Robotics Patient Readmission Nephrectomy Postoperative Complications United States Humans Databases, Factual
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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 Humans Machine Learning Length of Stay Cost-Benefit Analysis Deep Learning
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DeepBackRib: Deep learning to understand factors associated with readmissions after rib fractures.

The journal of trauma and acute care surgery Sep 19, 2022
BACKGROUND: Deep neural networks yield high predictive performance, yet obscure interpretability limits clinical applicability. We aimed to build an explainable deep neural network that elucidates factors associated with readmissions after rib fractu...
Rib Fractures Hospitalization Humans Cohort Studies Adult Deep Learning Patient Readmission
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Machine Learning-Based Analysis and Prediction of Unplanned 30-Day Readmissions After Pituitary Adenoma Resection: A Multi-Institutional Retrospective Study With External Validation.

Neurosurgery Apr 8, 2022
BACKGROUND: Unplanned readmission after transsphenoidal resection of pituitary adenoma can occur in up to 10% of patients but is unpredictable.
Bayes Theorem Patient Readmission Adenoma Predictive Value of Tests Retrospective Studies Pituitary Neoplasms Humans Machine Learning
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Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?

Journal of the American Heart Association Mar 24, 2022
Background Social risk factors influence rehospitalization rates yet are challenging to incorporate into prediction models. Integration of social risk factors using natural language processing (NLP) and machine learning could improve risk prediction ...
Natural Language Processing Retrospective Studies Myocardial Infarction Humans Electronic Health Records Information Storage and Retrieval Aged Medicare United States Patient Readmission
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