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USING BIG DATA TO GENERATE HYPOTHESES ON RISK FACTORS FOR POORLY UNDERSTOOD CANCERS

Cancer is one of the most common and deadly diseases and its incidence is increasing. Considering that only 5 -10% of cancers are due to genetics, most cancer types are due to external risk factors such as lifestyle habits and environmental exposure.According to the American Institute for Cancer Research (AICR), 40 percent of cancer cases

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A Data Analytics Framework for Improving the Efficiency of Stroke Imaging Investigations

Emergency departments are under tremendous pressure to provide high-quality care in the shortest amount of time possible. While not all cases seen in the ED are urgent in nature, some require immediate attention. These true emergencies are usually complex in nature and depend on people, processes and technologies to work seamlessly, in perfect orchestration, in

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Real-time prediction of unplanned 30-day hospital readmissions

Hospital readmissions are frequent and costly. It has been estimated that unplanned readmissions account for $17.4 billion in Medicare expenditures annually. Since the fiscal year 2013, the Hospital Readmissions Reduction Program (HRRP) has been established to financially penalize hospitals with excessive readmissions after initial admissions for particular conditions and procedures. In recent years, numerous hospital readmission predictive

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Medical Calculators: Prevalence, and Barriers to Use

Medical calculators synthesize measurable evidence and help introduce new medical guidelines and standards.   Some medical calculators can fulfill the role of CDS for Meaningful Use purposes.  However, there are barriers for clinicians to use medical calculators in practice.  Objectives of this study were to determine whether lack of EHR integration would be a barrier to

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Volumetric Analysis of Adipose Tissue

Body Condition Score is the veterinary equivalent of BMI in humans, in which veterinarians attempt to assess adiposity of an animal and make appropriate recommendations. However, this measure of adiposity is fairly subjective and quite variable depending on the species being analyzed. Thus, a more quantifiable and objective measure of adiposity, through the utilization of

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Investigating Genome Compositional Features of Apis and other Hymenopteran Species

Initial analysis of the honey bee (Apis mellifera) genome in 2006 revealed several interesting features compared to other metazoan genome sequences available at that time: a low but heterogeneous GC content, an overabundance of CpG dinucleotides and a lack of repetitive elements. The average GC content of the honey bee genome is only 33%, but

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Translational Thyroid Cancer Informatics

Survival prediction is important both to clinicians and patients; ensuring the best course of treatment is selected to manage the thyroid cancer.  In 2018 there will be an estimated half a million new thyroid cancer diagnoses and 41,071 deaths.  Unlike other tumors whose mortality has decreased over the last two decades, thyroid cancer mortality rates

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Using Deep Convolutional Neural Networks To Detect And Classify Indicators Of Leukemia In Blood Samples

The successful detection of leukemia depends on the correct interpretation of the lineage and morphology of monocytes — a type of white blood cells. The monocytes have been classified into four primary stages of differentiation. However, the stages cannot be distinguished unambiguously even by panels of trained experts. A number of attempts have been made

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Study of A Visualization Tool Development in Health Informatics

The volume and complexity of data continue to increase in the world around us, including science, business, medicine and everyday human activity. Handling these diverse data to simple and intuitive representation, using simple design and intuitive interaction for non-informatics or non-statistics expert is a pursuance for informatics researchers. Nowadays, the data visualization technology and the internet

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Promoting Healthy Coping in seniors 72 years or older with Type 2 Diabetes: A feasibility study of a mobile diabetes self-management and support application on functionality, readability, and usability

One out of four Americans older than 65 years old has diabetes. Type 2 diabetes accounts for about 90% to 95% of all diagnosed cases of diabetes. Mobile health technology provides possible solutions for seniors with type 2 diabetes to manage their daily lives. However, our preliminary research shows that only 10% of diabetes apps

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