Readmission
Showing 1 - 6 of 6 results-
Predicting 30 day Readmission Probability For CHF Patients
- Published on: September, 2017
- CitiusTech
A machine learning based solution is built to analyzes factors that caused readmissions of CHF patients, compute readmission risk scores and to sugges ...
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Patient Specific Readmission Prediction and Intervention for Health Care
- Published on: August, 2017
- Microsoft
- Code Available
Patient-Specific Readmission Prediction and Intervention for Health Care is one of the applications of Population Health Management for Healthcare - A ...
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CONTENT: Readmission prediction via deep contextual embedding of clinical concepts
- Published on: April, 2018
- Tengfei Ma, David M. Blei, Fei Wang, Adji B. Dieng, Cao Xiao
- Code Available
Hospital readmissions are expensive and can be harmful to patients. However, many times readmission are preventable and can be reduced with the help o ...
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ClinicalBERT-Modeling Clinical Notes and Predicting Hospital Readmission
- Published on: November, 2020
- Jaan Altosaar, Kexin Huang, Rajesh Ranganath
- Code Available
Clinical notes provide valuable information about patients. However, being high-dimensional and unstructured, clinical notes are underused as compared ...
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Predicting 30-day hospital readmissions using artificial neural networks with medical code embedding
- Published on: April, 2020
- Brahmajee K. Nallamothu, Andrew M. Ryan, Akbar Waljee, Karandeep Singh, Devraj Sukul, Wenshuo Liu, Elham Mahmo...
- Code Available
Readmission rates are an important factor in assessing hospital performance. To prevent unfair penalization, prediction models are employed by policym ...
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Readmission prediction using deep learning on electronic health records
- Published on: July, 2019
- Awais Ashfaq, Slawomir Nowaczyk, Markus Lingman, Anita Sant’Anna
- Code Available
Ashfaq et. al. have developed a deep learning framework for predicting 30-day unscheduled readmission. This model incorporates both: (a) human derived ...