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  1. Research

    Logistic regression analysis differentiates high from low computer users by facial skin conditions in a population of Chinese women

    In the past few decades, video display terminals (VDTs) and computer use have been associated with various skin symptoms in several published reports. In addition, internet beauty sites report that extended co...

    Mary S. Matsui, Jomer Dela Cruz, Jiawen Tang, Bin Wei Deng, Xiaoyuan Xie and Guan Lei

    Applied Informatics 2017 4:4

    Published on: 7 January 2017

  2. Research

    A novel framework for 3D shape retrieval

    The ability to accurately and effectively search for 3D shape is crucial for many applications. In this study, we proposed a novel framework for 3D shape retrieval. We compensate the loss of high frequencies o...

    Ye Jin, ZhiXun Li, YingTao Zhang and XiangLong Tang

    Applied Informatics 2017 4:3

    Published on: 6 January 2017

  3. Research

    Impact of order set use on outcome of patients with sepsis

    In an effort to improve outcome of patients with sepsis, we developed and implemented a disease-specific alert and order set for our computerized physician order entry system. This alert and order set were imp...

    Robert C. Goldszer, Kenneth Ratzan, Marc Csete, Nancy Nanes, Charity Love, Luigi X. Cubeddu, David Farcy, Ameena Shrestha and Tom Gillette

    Applied Informatics 2017 4:2

    Published on: 5 January 2017

  4. Research

    An adaptive random compressive partial sampling method with TV recovery

    Different from standard sampling strategy in compressive sensing (CS), we present a compressive partial sampling framework called adaptive-random sampling and recovery (ASR) for image. It could faithfully reco...

    Jun Yang, Wei E. I. Sha, Hongyang Chao and Zhu Jin

    Applied Informatics 2016 3:12

    Published on: 28 December 2016

  5. Research

    Altered effective connectivity network of the thalamus in post-traumatic stress disorder: a resting-state FMRI study with granger causality method

    Post-traumatic stress disorder (PTSD) is an anxiety disorder that can develop following a traumatic event. Previous studies have found abnormal functional connectivity between the thalamus and other brain regi...

    Youxue Zhang, Heng Chen, Zhiliang Long, Qian Cui and Huafu Chen

    Applied Informatics 2016 3:8

    Published on: 15 November 2016

  6. Research

    DDO: a diabetes mellitus diagnosis ontology

    Diabetes mellitus is a major cause of morbidity and mortality in humans. Early diagnosis is the first step toward the management of this condition. However, a diagnosis involves several variables, which makes ...

    Shaker El-Sappagh and Farman Ali

    Applied Informatics 2016 3:5

    Published on: 25 August 2016

  7. Research

    Kernel fractional affine projection algorithm

    This paper extends the kernel affine projection algorithm to a rich, flexible and cohesive taxonomy of fractional signal processing approach. The formulation of the algorithm is established on the inclusion o...

    Bilal Shoaib, Ijaz Mansoor Qureshi, Shafqat Ullah Khan, Sharjeel Abid Butt and Ihsan ul haq

    Applied Informatics 2015 2:12

    Published on: 14 December 2015

  8. Research

    On the translation-invariance of image distance metric

    An appropriate choice of the distance metric is a fundamental problem in pattern recognition, machine learning and cluster analysis. Some methods that based on the distance of samples, e.g, the k-means clustering...

    Bing Sun, Jufu Feng and Guoping Wang

    Applied Informatics 2015 2:11

    Published on: 25 November 2015

  9. Review

    An update on genome-wide association studies of hypertension

    Hypertension is a major global health problem associated with cardiovascular and cerebrovascular diseases. It is well established that blood pressure and hypertension are common complex phenotypes affected by ...

    Jie Zheng, Dabeeru C. Rao and Gang Shi

    Applied Informatics 2015 2:10

    Published on: 14 October 2015

  10. Research

    Sparsity preserving score for feature selection

    Compared with supervised feature selection, selecting features in unsupervised learning scenarios is a much harder problem due to the lack of label information. In this paper, we propose sparsity preserving sc...

    Hui Yan

    Applied Informatics 2015 2:8

    Published on: 16 July 2015

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