2018 9th International Conference on Information Technology in Medicine and Education (ITME)

19-21 Oct. 2018

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  • [Title page i]

    Publication Year: 2018, Page(s): 1
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  • [Title page iii]

    Publication Year: 2018, Page(s): 2
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  • [Copyright notice]

    Publication Year: 2018, Page(s): 3
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  • Table of Contents

    Publication Year: 2018, Page(s):4 - 27
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  • Message from the General Chairs

    Publication Year: 2018, Page(s): 28
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  • Message from the Program Chairs

    Publication Year: 2018, Page(s): 29
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  • Organizing Committee

    Publication Year: 2018, Page(s):30 - 31
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  • Program Committee

    Publication Year: 2018, Page(s):32 - 34
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  • Reviewers

    Publication Year: 2018, Page(s):35 - 37
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  • Keynote Speakers

    Publication Year: 2018, Page(s):38 - 41
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (152 KB)

    Provides an abstract for each of the keynote presentations and may include a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • Sponsors

    Publication Year: 2018, Page(s): 42
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  • A Case of Secondary Bloodthirsty Syndrome in Still's Disease in Adults

    Publication Year: 2018, Page(s):1 - 4
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (189 KB) | HTML iconHTML

    Hematopoietic syndrome (HPS) is a rare, severe disease characterized by abnormal activation of macrophages that results in the phagocytosis of large numbers of blood cells. Typical features include fever, hepatosplenomegaly, lymphadenopathy, hypocytopenia, and low fibrinogenemia. Symptoms, ferritinemia. HPs are divided into two subtypes: Primary HPs are autosomal recessive inherited diseases. Seco... View full abstract»

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  • A Case Report of Granulomatous Polyangiitis

    Publication Year: 2018, Page(s):5 - 8
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (938 KB) | HTML iconHTML

    Granulomatous polyangiitis (GPA), previously known as Wegener's granulomatosis, is the most common form of life-threatening vasculitis. Although its exact pathogenesis is not known, GPA is considered to be its own due to the presence of anti-neutrophil cytoplasmic antibodies with cytoplasmic staining pattern (c-ANCA) expressed in activated neutrophils. Widespread complex of immune diseases. GPA ma... View full abstract»

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  • A Feature-Enhanced Entity Recognition Method for Chinese Electronic Medical Records

    Publication Year: 2018, Page(s):9 - 14
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (213 KB) | HTML iconHTML

    Electronic medical records (EMRs) contain rich medical information, which is of great significance to medical research. The amount of Chinese EMRs is growing, whereas the current named entity recognition methods based on machine learning do not consider the unique characteristics of Chinese EMR. In this paper, four types of entities for disease, symptom, inspection and treatment are trained and te... View full abstract»

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  • A Hybrid Ensemble Algorithm Combining AdaBoost and Genetic Algorithm for Cancer Classification with Gene Expression Data

    Publication Year: 2018, Page(s):15 - 19
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1150 KB) | HTML iconHTML

    There are two key issues in the field of ensemble learning: (1) diversity of base classifiers; (2) the way of integrating multiple classifiers. In this paper, a special classifier structure, namely, decision group, is designed to increase the diversity of base classifier pool; and the genetic algorithm (GA) is used to assign weight to each base classifier, thus to improve the classification perfor... View full abstract»

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  • A New Efficient Algorithm for Weighted Vertex Cover in Bipartite Graphs Based on a Dual Problem

    Publication Year: 2018, Page(s):20 - 23
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (192 KB) | HTML iconHTML

    The (un-weighted) vertex cover problem in general graphs is a classical NP-hard problem, but it is polynomial time solvable in bipartite graphs. This paper considers two combinatorial optimization problems. One is the weighted vertex cover problem and the other is the so-called maximum edge packing problem. We proved that in bipartite graphs, maximum edge packing problem can be viewed as the dual ... View full abstract»

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  • A Segmentation Framework for MR Images Combining with Tissue Characteristics

    Publication Year: 2018, Page(s):24 - 28
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (504 KB) | HTML iconHTML

    Magnetic Resonance (MR) brain tissue segmentation plays an important role in assisting diagnosis, treatment planning and surgical navigation. In this paper, a framework combining with T1 mapping is proposed to segment white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF). For the T1 parameters are intrinsic MR properties of tissue, it can be used as prior knowledge for MR images segmen... View full abstract»

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  • A Ten-Long Non-Coding RNA Model Improves Prognosis Prediction of Hepatocellular Carcinoma Patients

    Publication Year: 2018, Page(s):29 - 33
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (421 KB) | HTML iconHTML

    In this paper, the lncRNA expression profiles of 424 hepatocellular carcinoma (HCC) patients, including 374 tumor and 50 adjacent non-tumor tissues, from The Cancer Genome Atlas (TCGA) were analyzed. By univariate and multivariate Cox survival analysis, we found and validated 10 significant lncRNAs associated with HCC prognosis. Based on the risk calculation model established on these 10 lncRNAs, ... View full abstract»

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  • Acupuncture Combined with Musical Therapy in the Treatment of Post-Stroke Depression: A Case Report

    Publication Year: 2018, Page(s):34 - 38
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (302 KB) | HTML iconHTML

    Rationale: The clinical treatment of mental symptoms of post-stroke depression (PSD) mainly focuses on western medicines which lead to great pain to patients due to unavoidable side effects. In this study, simultaneous treatment of both body and mind consisting of traditional Chinese medicine (TCM) acupuncture combined with musical therapy was conducted to a patient with PSD, with satisfactory cli... View full abstract»

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  • AE-CNN Classification of Pulmonary Tuberculosis Based on CT Images

    Publication Year: 2018, Page(s):39 - 42
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (370 KB) | HTML iconHTML

    Because the tuberculosis is increasingly threatening the health and life of patients, this paper does the research on classification of pulmonary tuberculosis based on CT images. We proposed a new method called AECNN, which combines the feature extraction of Conv and the unsupervised features of AutoEncoder to be AE-CNN block, and constructs the deep network model of AECNN based on deep learning, ... View full abstract»

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  • An Extended Genetic Algorithm Based Gene Selection Framework for Cancer Diagnosis

    Publication Year: 2018, Page(s):43 - 47
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (277 KB) | HTML iconHTML

    Existing biomedical research shows that cancers can be diagnosed by effective feature selection and classification of DNA microarray in the molecular level. DNA microarrays are well-known as high-dimensional, possibly redundant, and small sample size data, which usually consist of many thousands of features. Therefore, feature selection methods are highly demanded to reduce the complexity for clas... View full abstract»

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  • An Ontology-Based Approach to Double Scenario Model Knowledge Base Development for International Disaster Relief

    Publication Year: 2018, Page(s):48 - 52
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (487 KB) | HTML iconHTML

    Research Purpose: To establish a knowledge base for the double scenario model which involve large interdisciplinary knowledge. Propose Methods: This research established a conceptual scenario model with two different levels of ambition: a disaster scenario, in which casualty figure, composition of injuries are constrained by the types of the disaster as well as the degree of the damage, and a coun... View full abstract»

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  • Applying QR Code to Secure Medical Management

    Publication Year: 2018, Page(s):53 - 56
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (412 KB) | HTML iconHTML

    At present, the medical management technology has many secure drawbacks, such as, the X-ray transparency leaks user privacy, access to view the medical privacy record is not strictly controlled, infusion confirmation is without technical authentication, patient wrist identity (ID) is easy to be forged, payment is not convenient and so on. This paper first analyzes the present situation of medical ... View full abstract»

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  • Approaches to Improve Teaching Quality of Histology and Embryology by Various Ways

    Publication Year: 2018, Page(s):57 - 60
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (200 KB) | HTML iconHTML

    Histology and embryology is an important basic medical course. Through the exploration and practice of histology and embryology teaching, we found that by integrating multiple teaching methods, integrating multi-disciplinary knowledge points, applying philosophical thinking and mind mapping, and encouraging students to participate in relevant scientific research, students can mobilize the enthusia... View full abstract»

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  • Automatic Bone Age Assessment Combined with Transfer Learning and Support Vector Regression

    Publication Year: 2018, Page(s):61 - 66
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (482 KB) | HTML iconHTML

    Bone Age Assessment (BAA) is an important topic in clinical practice of evaluating biological maturity of children. Traditional manually BAA is time consuming and with strong subjectivity. The existing automated BAA methods are based on pattern matching or classification methods, which are complex and with low generalization performance. To address these problems, a fully automatic BAA method comb... View full abstract»

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