Member Experience

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  Depression Detection in Speech

  • Published on: November, 2019
  • Sukesh Shenoy, Megha Ghosh
  • Code Available

  Given a clinical audio interview designed to support the diagnosis of psychological distress conditions such as anxiety, depression and post traumatic ...

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  Member Outreach Model to Predict Target Responders

  • Published on: April, 2021
  • CitiusTech

  This ML model is used to predict if a member will respond to outreach campaign. It helps prioritise members who are more likely to respond to an outre ...

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  Statistical Analysis of County-Level Contributing Factors to Opioid-Related Overdose Deaths in the United State

  • Published on: May, 2020
  • Kim Haedong
  • Code Available

  The model is designed to predict the overdose deaths from all types of opioids including prescription(e.g. oxycodone and hydrocodone) and illicit opio ...

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  Predicting high-risk opioid prescriptions

  • Published on: January, 2020
  • Sarah E. Inman, Justine S. Hastings, Mark Howison
  • Code Available

  In this model the state government administrative data and machine learning methods are combined to examine whether the risk of future opioid dependen ...

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  U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

  • Published on: November, 2019
  • Mathias Perslev
  • Code Available

  During sleep our brain goes through a series of changes between different sleep stages, which are characterized by specific brain and body activity pat ...

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  Member Outreach Model to Predict Best Channel to Communicate with Members

  • Published on: April, 2021
  • CitiusTech

  This ML model is used to predict the best channel for reaching out to members, to ensure increased member response rate. It helps identify key attribu ...

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  Machine learning model for identifying opioid misuse from the clinical notes of hospitalized patients

  • Published on: April, 2020
  • Dmitriy Dligach, Majid Afshar, Niranjan S. Karnik, Cara Joyce, Brihat Sharma, Elizabeth Salisbury-Afshar, Kris...
  • Code Available

  A Natural Language processing (NLP) model which uses clinical notes from Electronic Health Records(EHR) to predict misuse of opioids. This model compa ...

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  Member Outreach Model to Predict Best Time for Communicating with Members

  • Published on: April, 2021
  • CitiusTech

  This ML model is used to predict the best time for member outreach to ensure increased member response rate. It identifies key attributes for predicti ...

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  Member Target Model – Clinical

  • Published on: November, 2020
  • CitiusTech

  Member target list for each measure based on the likelihood of gap closure upon engagement

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  Control GAD (Generalized Anxiety Disorder)

  • Published on: January, 2019
  • Mercy Falconi
  • Code Available

  Generalized anxiety disorder (GAD) is one of these disorders, characterized by the presence of excessive worries and alertness over different issues; ...