Utilization Management

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  A Machine Learning Approach to Predicting Readmission or Mortality in Patients Hospitalized for Stroke or Transient Ischemic Attack

  • Published on: September, 2020
  • Ling-Chien Hung, Sheng-Feng Sung and Ya-Han Hu
  • Code Available

  Stroke is one of the leading causes of adult disability and mortality worldwide. Stroke reoccurrence is predominant in survivors. Complications like p ...

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  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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  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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  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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  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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  Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk

  • Published on: January, 2020
  • Oscar Perez-Concha, Angus Ritchie, Martin Gallagher, James Kemp, Sradha Kotwal, Louisa Jorm, Sebastiano Barbie...
  • Code Available

  Readmission is an adverse outcome observed among some critically ill patients.In this model we predict the risk of patient readmission based on the Me ...

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  Forecasting model for scheduling and staffing workflow

  • Published on: August, 2018
  • CitiusTech

  The forecasting model is developed to optimize the scheduling and the staffing workflow efficiency across facilities and sub-specialists. It forecast ...

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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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  An Artificial Intelligence System for Predicting the Deterioration of COVID-19 Patients in the Emergency Department

  • Published on: August, 2020
  • Yvonne W. Lui, David Kudlowitz, Taro Makino, Ben Zhang, Lea Azour, Carlos Fernandez-Granda, Siddhant Dogra, Yi...
  • Code Available

  During the coronavirus disease 2019 (COVID-19) pandemic, accurate and timely triage of patients at the emergency department is critical for informing ...