NCSI: Analyzing Readmissions of Cancer Patients: A Cost and Geographical Analysis

Status	Completed
Mentor Name	Luwen (Vivian) Huangfu
Mentor's XSEDE Affiliation	Research Allocation
Mentor Has Been in XSEDE Community	Less than 1 year
Project Title	Analyzing Readmissions of Cancer Patients: A Cost and Geographical Analysis
Summary	The use of excess thirty-day readmission rates as an indicator of poor hospital service quality has been widely embraced, but it is unclear if patients' characteristics play important roles in readmissions. Our analysis will reveal the effects of patients' characteristics on health outcomes by leveraging a large-scale cancer patient dataset. This study will enhance our understanding of factors that can influence readmissions and help healthcare programs better define or measure readmission activity that can bring large impacts on hospitals and patients.
Job Description	Student(s) will analyze data, present results, and write down a conference/journal paper as a deliverable if possible.
Computational Resources	We need to use XSEDE supercomputers to run experiments on large datasets.
Contribution to Community	Parallel computing on the large-scale dataset. A big contribution to human health.
Position Type	Learner
Training Plan	We will provide the student(s) with datasets, train student(s) with machine learning algorithms to deal with large-scale networks, teach student(s) how to write a professional report/research paper.
Student Prerequisites/Conditions/Qualifications	Programming skills, critical thinking skills, mathematical skills, writing skills
Duration	Semester
Start Date	01/19/2022
End Date	05/31/2022