Share with your friends










Submit

Analytics Magazine

Newsmakers: Computer Model Optimizes Diabetes Treatment

Fall 2009

CLICK HERE TO GO TO THE DIGITAL VERSION OF THIS ARTICLE

Researchers from North Carolina State University and Mayo Clinic have developed a computer model that medical doctors can use to determine the best time to begin using statin therapy in diabetes patients to help prevent heart disease and stroke.

“The research is significant because patients with diabetes are at high risk for cardiovascular disease and statins are the single most commonly used treatment for patients at risk of heart disease and/or stroke,” says Brian Denton, “and this model can help determine the best course of action for individual patients based on their risk of developing cardiovascular disease.” Denton is an assistant professor in NC State’s Edward P. Fitts Department of Industrial & Systems Engineering and lead author of the study.

Statins are a key component of current cardiovascular medical treatment guidelines, Denton says. They lower cholesterol levels and may significantly reduce the risk of heart attack and stroke, particularly in patients that are considered to be at high risk.

The researchers developed a new mathematical model that examines various possible treatment policies to see how they influence short-term and long-term health outcomes for patients. The model shows how people are affected by diabetes, and how their health changes over time as the disease advances and patients’ age.

The new model incorporates patient-specific data. An established risk model calculates each patient’s probability of heart attack and stroke based on risk factors, such as their cholesterol, blood pressure, etc. This overall risk “score” is used to weigh the medical advantages of beginning statin therapy against the financial cost of the statins.

Overall, by accounting for the progression of diabetes, the patient’s specific risk score and the cost-benefit analysis, the new model may help patients and doctors decide on the optimal time to begin statin therapy.

Denton says the new model has not yet been put into practice, but that the research team plans to develop a pilot to put the tool into the hands of medical professionals.

The research, “Optimizing the Start Time of Statin Therapy for Patients with Diabetes,” was funded in part by the Agency for Healthcare Research and Quality and the National Science Foundation, and was published earlier this month in the journal Medical Decision Making. The research was co-authored by Denton from NC State; Nilay D. Shah, Sandra C. Bryant and Steven A. Smith of the Mayo Clinic College of Medicine; and University of Pittsburgh graduate student Murat Kurt.

CLICK HERE TO GO TO THE DIGITAL VERSION OF THIS ARTICLE







Headlines

Artificial intelligence a game changer for personal devices

Emotion artificial intelligence (AI) systems are becoming so sophisticated that Gartner, Inc. predicts that by 2022, personal devices will know more about an individual’s emotional state than his or her own family. AI is generating multiple disruptive forces that are reshaping the way we interact with personal technologies. Read more →

FICO predicts AI and blockchain will meet in 2018

Scott Zoldi, chief analytics officer at FICO, in his AI predictions for 2018, predicts the rise of “defensive AI” and manipulative chatbots. Blockchain will use AI to search through relationship data, Zoldi says, and defensive AI will be used to protect systems from malicious AI and machine learning. Adds Zoldi: Chatbots will get so good at understanding us they will learn how to manipulate us. Read more →

UPCOMING ANALYTICS EVENTS

INFORMS-SPONSORED EVENTS

2018 INFORMS Conference on Business Analytics and Operations Research
April 15-17, 2018, Baltimore

CAP® EXAM SCHEDULE

CAP® Exam computer-based testing sites are available in 700 locations worldwide. Take the exam close to home and on your schedule:


 
For more information, go to 
https://www.certifiedanalytics.org.