Duke University · Mathematics & StatisticsSepsis Assessment and Treatment Lab
Anru Zhang · Durham, North Carolina
Research Focus
Dr. Anru Zhang's lab focuses on improving the assessment and treatment of sepsis, a life-threatening condition that arises from the body's response to infection. Using advanced statistical techniques, particularly tensor methods, the lab analyzes electronic health record (EHR) data to identify patient characteristics and outcomes more accurately. Their work aims to create innovative tools that enhance clinical decision-making and ultimately improve patient care in hospitals.
sepsismachine learningelectronic health recordstensor methodspatient phenotypingclinical decision-makingtreatment planninghealthcare analyticsdata analysis
Research Aims
4AIM 01Develop an iterative timeline registration algorithm for sepsis progress assessment.
AIM 02Create a tensor-based method for patient phenotyping using EHR data.
AIM 03Estimate treatment effects for patients with evolving treatment regimes.
AIM 04Enhance clinical decision-making through advanced data analytics.
Skills the Lab Values
tensor analysismachine learningstatistical modelingdata visualizationPython programmingEHR analysisclinical data interpretationalgorithm developmentlongitudinal data analysis
Output against the department
Publications186bottom 38% of dept.81st of 131
this lab
most publishedleast published
Citations3.5kbottom 25% of dept.98th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.