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This study proposes a methodology to support coding professionals in assigning ICD-9-CM codes to inpatient episodes. This subject has been predominantly addressed through the use of natural language processing methods, which show limited generalizability. To surpass this issue, this paper proposes a methodology entailing an adaptive data processing method(More)
Dynamic contrast-enhanced magnetic resonance (DCE-MR) of the breast is especially robust for the diagnosis of cancer in high-risk women due to its high sensitivity. Its specificity may be, however, compromised since several benign masses take up contrast agent as malignant lesions do. In this paper, we propose a novel method of 3D multifractal analysis to(More)
In this paper, we propose a method based on a generalization of the multifractal detrended fluctuation analysis (MF-DFA) to the two-dimensionality, for the analysis of breast medical images, particularly grey scale images of mammograms. The existent generalization has been suitably applied in synthetic multifractal surfaces. However, when it is applied to(More)
This work proposes a multifractal analysis of the time series derived from ASL fMRI (Arterial Spin Labeling functional Magnetic Resonance Imaging) to detect brain activated regions in response to an unknown stimulus. In contrast to standard model-based activation analysis, no prior knowledge of the expected haemodynamic response has to be assumed for(More)
Electronic health record (EHR) data is becoming ubiquitous in the healthcare domain, with potential to provide valuable insights to clinicians and managers. Data mining methodologies have been largely unexplored to analyze EHR data retrospectively and to inform expected patterns of disease and utilization during the course of patient stay. In this work, we(More)
The growing influx of patients in healthcare providers is the result of an aging population and emerging self-consciousness about health. In order to guarantee the welfare of all the healthcare stakeholders, it is mandatory to implement methodologies that optimize the healthcare providers' efficiency while increasing patient throughput and reducing(More)
The recent advances in Magnetic Resonance Imaging gradient, regarding strength and computation speed, led to the development of Echo-Planar Imaging pulse-sequences with faster acquisition times. This kind of sequence is used in functional MRI and diffusion-weighted Magnetic Resonance Imaging and it presents more distortions than slower sequences. This work(More)