error is an inevitable part of life and cannot be completely eliminated, but it can be minimized. a root cause analysis is a technique for understanding the systematic error causes that is involved beyond a person or people to implement an errors and including field and environmental causes of errors when occur in this situation too. an important factor of an error occurrence is a root cause (c...

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As a complementary and alternative medicine in medical field, traditional Chinese medicine (TCM) has drawn great attention in the domestic field and overseas. In practice, TCM provides a quite distinct methodology to patient diagnosis and treatment compared to western medicine (WM). Syndrome (ZHENG or pattern) is differentiated by a set of symptoms and signs examined from an individual by four ...

The clinical distinction between Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) remains challenging and largely dependent on the experience of the clinician. This study investigates whether objective machine learning algorithms using supportive neuroimaging and neuropsychological clinical features can aid the distinction between both diseases. Retrospective neur...

Introduction: Digital radiography has a major role in nowadays healthcare system so radiation protection (justification and optimization) is important in this field. Many related organizations to protection suggested to establish national and regional diagnostic reference level for medical procedures. Reference levels are typically set at the 75th percentile of the dose distri...

This paper describes an approach to the diagnostic evaluation of machine translation (MT) based on linguistic checkpoints, which can provide valuable information both to the developers and to the end-users of MT systems. We present a flexible framework and a new tool, DELiC4MT, for fine-grained diagnostic MT evaluation which can be extended to any language pair and applied to any evaluation tar...

We present a fully automatic diagnostic imaging test for Attention-Deficit/Hyperactivity Disorder diagnosis assistance based on previously found evidences of caudate nucleus volumetric abnormalities. The proposed method consists of different steps: a new automatic method for external and internal segmentation of caudate based on Machine Learning methodologies; the definition of a set of new vol...

Kimmo S. Halonen, MSc, Mika E. Mononen, Ph.D., Jukka S. Jurvelin, Ph.D., Juha Töyräs, Ph.D., Adam Klodowski, MSc, Juha-Pekka Kulmala, MSc, Rami Korhonen, Ph.D.. Department of Applied Physics, University of Eastern Finland, Kuopio, Finland, Diagnostic Imaging Centre, Kuopio University Hospital, Kuopio, Finland, Laboratory of Machine Design, Lappeenranta University of Technology, Lappeenranta, Fi...