Computational CreativityCreativity plays a key role in many aspects of (intelligent) behavior, including:
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Medical Applications of Artificial IntelligenceModern medical procedure provides vast amounts of patient data that is grossly under-utilized, yet has the potential to revolutionize the diagnosis and treatment of many serious medical conditions. According to the Centers for Disease Control and Prevention, heart disease is the leading cause of death in the United states, attributable to more than 650,000 deaths each year (about 27\% of all U.S. deaths). Pulmonary artery pressure is an indicator of some types of heart and blood diseases, including pulmonary hypertension and sickle-cell anemia. Right-heart catheterization is the most accurate method for estimating pulmonary artery pressure; however, it is also an invasive procedure that is expensive, exposes patients to the risk of infection, and is not suited for long-term monitoring situations. The medical literature points to a correlation between heart sound and pulmonary artery pressure. The goal of this work is to develop a prototype system that estimates a patient’s pulmonary artery pressure by analyzing heart sounds from the patient. The challenge is two-fold: 1) discover heart sound feature sets that will be useful as input to the system, and 2) build machine learning algorithms using those features that can act as pulmonary artery pressure estimators. We are currently working with a small cohort of patient data, to build diagnostic models (both classification- and regression-based). This work will naturally lead to the study of additional medical applications to which machine learning may be applied. | |
Traditional Machine Learning and Artificial IntelligenceMachine Learning and Artificial Intelligence are broad fields and our interests and past projects are diverse, including:
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