Hospital Resource Utilization
Showing 1 - 7 of 7 results-
Classification and clustering analysis of patient length-of-stay (LOS) in a US hospital
- Published on: March, 2021
- Duncan Wang
- Code Available
The effective management of patient hospital stays is one of the most challenging yet paramount priorities of modern healthcare systems For this anal ...
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Learning to Summarize Radiology Findings
- Published on: February, 2019
- Daisy Yi Ding, Christopher D. Manning, Curtis P. Langlotz, Yuhao Zhang, Tianpei Qian
- Code Available
In radiology report there is one section named as Impression. In this section, the radiologist summarizes the findings. But the process of writing the ...
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Multitask Learning and Benchmarking with Clinical Time Series Data
- Published on: August, 2019
- Aram Galstyan, Greg Ver Steeg, David C. Kale, Hrayr Harutyunyan, Hrant Khachatrian
- Code Available
It is difficult to measure progress in machine learning for healthcare research as there are no publicly available benchmark data sets. To address thi ...
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Forecasting based approach for case volume prediction in a clinic
- Published on: June, 2018
- CitiusTech
A forecasting model which is used to enhance current case volume prediction for Anesthesia line of business is developed.
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Live Population Health Report with Hospital Length of Stay prediction
- Published on: August, 2017
- Microsoft
- Code Available
Live Population Health Report with Hospital Length of Stay prediction is one of the applications of Population Health Management for Healthcare - A Co ...
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Construction of Empirical Care Pathways Process Models from Multiple Real-World Datasets
- Published on: February, 2020
- Francisco Estupiñán-Romero, Juan González-García, Carlos Tellería-Orriols, Enrique Bernal-Delgado
- Code Available
The process models are a unique piece of information for health services research which are created using event logs and can help in visualizing start ...
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Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention
- Published on: December, 2020
- Sangita Kulathinal, Tuomo Nieminen, Henri Salo, Pekka Marttinen, Yogesh Kumar, Kristian Vepsäläinen
- Code Available
Given the EHR data this model uses features like demographics, diagnosis codes, procedures to predict the utilization of healthcare services. The pred ...