Jump to content

Choose locationChoose Location
  • Sign in or Enroll
    • Open I want to choose my medical group or hospital
    • Clear my location
Change Location

We've expanded your view

You are now viewing all services in the Sutter Health network. You can change your location above to narrow your view to a medical group, hospital, city or zip.
Sutter Health
  • Video Visits
  • Find Doctors
  • Find Locations
  • Treatments & Services
  • Locations
  • Sign in or Enroll
    • Video Visits
    • Find Doctors
    • Find Locations
    • Treatments & Services
    • COVID-19 Resources
    • Pay a Bill
    • Symptom Checker
    • Get Care Today
    • Diseases & Conditions
    • Health & Wellness
    • Classes & Events
    • Research & Clinical Trials
    • For Patients
    • About Sutter Health
    • Giving
    • Volunteering
    • Careers
    • News
    • For Medical Professionals
    • Other Business Services
Close Search
  • Home
  • Research
  • Medical Informatics
Content

Interpretable Deep Learning Model for Longitudinal Electronic Health Record and Applications to Heart Failure Prediction

Description

Thisproject is to develop advanced deep learning model to predict early onset ofheart failure using electronic health records, including structured (e.g.,diagnosis, medication order, etc.) and unstructured (i.e., progress notes, imagereports, etc.)data.

PI is Jimeng Sun, Ph.D., School of Computational Sciences and Engineering at College of Computing, Georgia Institute of Technology. Site PI is Xiaowei Yan, Ph.D.

Principal Investigator

Xiaowei (Sherry) Yan, PhD, MS, External PI, Principal Investigator

Start Date

November 01, 2017

End Date

October 30, 2019

Research Topics

  • Heart Failure
  • Medical Informatics

Related Studies

COVID-19 Impacts on Cancer Care Management, Patient Experience and Care Costs

Project goals: To understand impacts of COVID-19 on cancer care management (detection, diagnosis, treatment), pt-reported experience, and cancer care costs.

Investigators: Monique de Bruin, M.D., MPH, Su-Ying Liang, Ph.D., Cheryl Stults, Ph.D. 

COVID-19 Universal Registry for Vital Evaluations (CURVE) Project

To create a COVID-19 Universal Registry for Vital Evaluations (CURVE) database, a semi-real-time registry of Sutter Health patients with COVID-19 infection.

Investigators: Robert Romanelli, Ph.D., MPH, Jiang Li, Ph.D., MPH 

Impact of COVID-19 on Cancer Care Management

Study will enhance understanding of cancer care management due to COVID-19.

Investigators: Monique de Bruin, M.D., MPH, Su-Ying Liang, Ph.D. 

Improving Cancer Care

Project will provide information about referrals to palliative care and way to enhance goals of care discussions for patients diagnosed with stage IV cancer.

Investigators: Ellis C. Dillon, Ph.D., Harold (Hal) Luft, Ph.D., Su-Ying Liang, Ph.D. 

Pilot Project in Applied Artificial Intelligence: Using Machine Learning to Improve the Safety of Hospital Care

Develop and test predictive model identifying emerging sepsis using artificial intelligence, and translate learnings into improved operational criteria.

Investigators: Sylvia Sudat, PhD, Alice R. Pressman, Ph.D., M.S. 

Quantifying 2D and 3D MRI Imaging For Improving MS Diagnosis, Treatment, And Clinical Care

Create a longitudinal proof-of-concept MS research database (MSClinQ) that can support clinical queries, and can be updated with new tx, dx tools, care options

Investigators: Xiaowei (Sherry) Yan, PhD, MS, J.B. Jones, PhD, MBA 

Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in Minority Subgroups (SURPASS) Study

Overall goal of this study is to address gaps in knowledge about CVD prediction and treatment in understudied racial/ethnic minority populations.

Investigators: Jiang Li, Ph.D., MPH, External PI, Principal Investigator 

Stupski Serious Illness Program Evaluation

Evaluate palliative care projects at seven healthcare organizations in the SF Bay Area.

Investigators: Ellis C. Dillon, Ph.D., Sylvia Sudat, PhD 

The Impact of Smoking, Comorbidities, and Race/Ethnicity on COVID-19 Infection and Disease Severity

Using EHR from a large healthcare system in Northern CA, we will study the impact of smoking, comorbidities, race on COVID-19 infection and disease severity.

Investigator: Jiang Li, Ph.D., MPH 

Using Mobile Technology and Analytics to Track Outcomes in MS Patients

Develop an app to collect and transform pt-reported outcomes in MS for health care providers to improve care and support shared decision making.

Investigators: J.B. Jones, PhD, MBA, Xiaowei (Sherry) Yan, PhD, MS 

The Sutter Health Network of Care
Expertise to fit your needs
Primary Care

Check-ups, screenings and sick visits for adults and children.

Specialty Care

Expertise and advanced technologies in all areas of medicine.

Emergency Care

For serious accidents, injuries and conditions that require immediate medical care.

Urgent Care

After-hours, weekend and holiday services.

Walk-In Care

Convenient walk-in care clinics for your non-urgent health needs.

About Sutter

  • About Our Network
  • Annual Report
  • Awards
  • Community Benefit
  • Contact Us
  • News
  • Giving
  • Find Care

  • Birth Centers
  • Care Centers
  • Emergency Rooms
  • Hospitals
  • Imaging
  • Labs
  • Surgery Centers
  • Urgent Care
  • Walk-In Care
  • View All >
  • Featured Services

  • Behavioral Health
  • Cancer Services
  • Family Medicine
  • Home Health and Hospice
  • Orthopedics
  • Pediatrics
  • Pregnancy
  • Primary Care
  • Women's Health
  • View All >
  • Patient Resources

  • Accepted Health Plans
  • Classes and Events
  • Estimate Costs
  • Flu Resources
  • Health and Wellness
  • Medical Records
  • Medicare
  • My Health Online
  • Pay a Bill
  • Symptom Checker
  • Our Team

  • For Employees
  • Physician Careers
  • Recruiting Events
  • Sutter Careers
  • Vendors
  • Volunteers
    • ADA Accessibility
    • Contact
    • Privacy
    • Do Not Sell My Personal Information

    • LinkedIn Opens new window
    • YouTube Opens new window
    • Facebook Opens new window
    • Twitter Opens new window
    • Glassdoor Opens new window
    • Instagram Opens new window

    Copyright © 2021 Sutter Health. All rights reserved. Sutter Health is a registered trademark of Sutter Health ®, Reg. U.S. Patent & Trademark office.

    Cookie Policy

    We use cookies to give you the best possible user experience. By continuing to use the site, you agree to the use of cookies. Privacy Policy Cookie Preferences

    Privacy Policy Cookie Preferences