Say What You Do. Do What You Say.

The problem with promotional and marketing materials is that the claims seldom match the reality. That's because when any firm writes marketing materials the objective is to be completely persuasive -- not completely truthful.

DecisionQ believes that the best promotion is true and accurate accounts of your actual successes. Say what you do, and then defend it in front of a tough audience.

To that end we are participants in - and strong supporters of - the academic peer-review and publication process. In order to be chosen to publish your work you must first make a substantial and novel contribution to the body of science and then defend your work to a jury of your scientific and academic peers who will scrutinize your every statement for accuracy and completeness.

If you can get through the process, the publication that results is both substantial and thoroughly vetted so that the reader can rely on the fact that you say what you do and do what you say.

It's a high hurdle to clear and the kind of real marketing we think is worth the investment in time and treasure.

Below is a very small sample of over forty peer reviewed publications and presentations from our work in healthcare and life sciences. Materials from our work in national defense and other industries as well as more of our work in the life sciences are available upon request.


(click on the case studies below to view PDF)


Our work in managed care is designed to help make healthcare more affordable and more efficient. To this end, we have done some work detecting health insurance fraud We have also done work applying our machine learning algorithms to help predict costs and risks for subjects with chemical dependencies.


DecisionQ has built several clinical decision support systems, which are designed to help physicians make clinical decisions that affect care and treatment of patients. Most of our work in this field pertains to oncology. Our work uses our machine-learning trained model to estimate survival time for patients with colon cancer. We have also applied our algorithms to estimate the likelihood of disease-specific survival in patients with soft-tissue sarcoma.


Our diagnostic tools are used to help physicians determine the relationships between symptoms and diagnosis. Some of our current work uses our tools to examine the relationship of clinical variables to proper healing in the severely wounded. We have also used our tools to predict kidney transplant failure using gene transcripts.


DecisionQ also has experience in the fields of defense, finance, insurance and consumer marketing. We work with experts in these fields to solve precise problems, including malware detection and fraud detection. For more information regarding our work in these fields please email us at