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Applied AI in CDSS in Medicine: A Systematic Review
Presenter:

Ploypun Narindrarangkura

Date:

02-13-2020

Time:

3:30PM-4:30PM

Location:

Leadership Auditorium

Objective: Clinical decision support systems (CDSS) are continuously developing to solve medical problems and try to improve healthcare management, which has shown a significant result in reducing medical errors and improving multiple healthcare processes. These days, artificial intelligence (AI) becomes more influential in healthcare supporting physicians to make a clinical decision.  Materials and Methods: A systematic review

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Contrast Data Mining and Pattern Discovery for Glaucoma Risk Assessments
Presenter:

Murugesan Raju

Date:

02-13-2020

Time:

3:30PM-4:30PM

Location:

Leadership Auditorium

Glaucoma is the second leading cause of irreversible blindness across the world, about 70 million people have glaucoma, and 4.4 million people are blind due to undiagnosed glaucoma by optic nerve damage worldwide. Studies show that early prediction is the best way to prevent irreversible blindness. To address this problem, we applied a subgroup contrast

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Evaluation of chronic disease education & health information quality using online social networks & communities
Presenter:

Nishant Jain

Date:

12-05-2019

Time:

3:30pm-4:30pm

Location:

Leadership Auditorium

Chronic diseases such as diabetes, cancer and mental illness are the leading causes of morbidity and disability. The total cost in the United States was $327 billion for diagnosed diabetes, 80.2 billion for cancer and $193.2 billion for serious mental illness. Chronic diseases rely a great deal on patient education and self-management and social media

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The power and challenges of single cell gene expression technology
Presenter:

Dr. Wes Warren

Date:

11-21-2019

Time:

3:30PM-4:30PM

Location:

Leadership Auditorium, 2501 Student Center

For many common diseases, a significant percentage of patients simply do not respond effectively or have adverse side-effects to any given treatment. To more successfully focus our disease intervention targets, comparatively diverse species with high-resolution starting points are required. An understanding of cell type–specific variation in gene expression is key to deciphering the roles of

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Geospatial Context Big Table (GeoCBT): Facilitating Geospatial Analysis in Health Research
Presenter:

Tim Haithcoat

Date:

11-08-2019

Time:

3:15PM-4:15PM

Location:

240 Naka Hall

A consistent finding across health literature is that location-matters. Cancer incidence varies across scales from blocks to neighborhoods to regions. As well, a complex myriad of factors that can affect health outcomes also exists. In rural contexts, aging populations, health care access, sparse populations, environmental exposures, and infrastructure are components. In urban contexts, food-deserts, stress,

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