Supreeth Shashikumar

Research Fellow, University of California, San Diego

2 active projects

MED299

We intend to use this dataset in MED299 at UC San Diego in order to teach students about cloud computing and informatics.

Scientific Questions Being Studied

We intend to use this dataset in MED299 at UC San Diego in order to teach students about cloud computing and informatics.

Project Purpose(s)

  • Disease Focused Research (Sepsis )
  • Educational

Scientific Approaches

Sepsis is one of the country’s most urgent systemic health threats. Each year, more than 1.5 million people in the U.S. get sepsis. Sepsis kills a quarter-million Americans each year. Sepsis can occur when a trauma or an infection – often caused by a superbug or drug-resistant bacteria in the skin, lungs or urinary tract – triggers a chain reaction throughout the body. Without timely recognition and treatment, it can rapidly cause tissue damage, organ failure, and death; each hour treatment of sepsis is delayed mortality risk increases by an additional 4%. One in three patients who die in a hospital have sepsis. We intend to use regression analysis to study the factors that contribute to sepsis readmission.

Anticipated Findings

Successful prevention and management of sepsis, septic shock, and organ injury rely on the ability of clinicians to anticipate and estimate the risk, and administer the right life-saving treatments (e.g., antibiotics, fluids and vasopressors) at the right time.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

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Explore All of us Data

Scientific Questions Being Studied

Explore All of us Data

Project Purpose(s)

  • Disease Focused Research (Sepsis )

Scientific Approaches

Use machine learning based methods to analyze data

Anticipated Findings

Characterize the EHR data

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

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