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Computer Methods and Programs in Biomedicine

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https://www.readbyqxmd.com/read/30401579/mqc-a-post-mapping-data-exploration-tool-for-ribosome-profiling
#1
Steven Verbruggen, Gerben Menschaert
BACKGROUND AND OBJECTIVE: Ribosome profiling is a recent next generation sequencing technique enabling the genome-wide study of gene expression in biomedical research at the translation level. Too often, researchers precipitously start trying to test their hypotheses after alignment of their data, without checking the quality and the general features of their mapped data. Despite the fact that these checks are essential to prevent errors and ensure valid conclusions afterwards, easy-to-use tools for visualizing the quality and overall outlook of mapped ribosome profiling data are lacking...
October 28, 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30392889/a-systematic-literature-review-and-classification-of-knowledge-discovery-in-traditional-medicine
#2
Goli Arji
INTRODUCTION AND OBJECTIVE: Despite the importance of machine learning methods application in traditional medicine there is a no systematic literature review and a classification for this field. This is the first comprehensive literature review of the application of data mining methods in traditional medicine. METHOD: We reviewed 5 database between 2000 to 2017 based on the Kitchenham systematic review methodology. 502 articles were identified and reviewed for their relevance to application of machine learning methods in traditional medicine, 42 selected papers were classified and categorized on four dimension; 1) application domain of data mining techniques in traditional medicine; 2) the data mining methods most frequently used in traditional medicine; 3) main strength and limitation of data mining techniques in traditional medicine; 4) the performance evaluation methods in data mining methods in traditional medicine...
October 27, 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30391052/preface
#3
EDITORIAL
Thomas Desaive, Neil Evans, Teresa Mendonca, J Geoffrey Chase
No abstract text is available yet for this article.
October 16, 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30376987/end-to-end-syndrome-differentiation-of-yin-deficiency-and-yang-deficiency-in-traditional-chinese-medicine
#4
Qinan Hu, Tong Yu, Jinghua Li, Qi Yu, Ling Zhu, Yueguo Gu
BACKGROUND AND OBJECTIVE: Yin and Yang, two concepts adapted from classical Chinese philosophy, play a diagnostic role in Traditional Chinese Medicine (TCM). The Yin and Yang in harmonious balance indicate health, whereas imbalances to either side indicate unhealthiness, which may result in diseases. Yin-yang disharmony is considered to be the cause of pathological changes. Syndrome differentiation of yin-yang is crucial to clinical diagnosis. It lays a foundation for subsequent medical judgments, including therapeutic methods, and formula, among many others...
October 16, 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30344050/modelling-intestinal-glucose-absorption-in-premature-infants-using-continuous-glucose-monitoring-data
#5
J L Knopp, M Signal, D L Harris, G Marics, P Weston, J Harding, P Tóth-Heyn, J Hómlok, B Benyó, J G Chase
BACKGROUND: Model-based glycaemic control protocols have shown promise in neonatal intensive care units (NICUs) for reducing both hyperglycaemia and insulin-therapy driven hypoglycaemia. However, current models for the appearance of glucose from enteral feeding are based on values from adult intensive care cohorts. This study aims to determine enteral glucose appearance model parameters more reflective of premature infant physiology. METHODS: Peaks in CGM data associated with enteral milk feeds in preterm and term infants are used to fit a two compartment gut model...
October 3, 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415724/artificial-intelligence-in-clinical-implications
#6
EDITORIAL
Phung-Anh Nguyen, Yu-Chuan Jack Li
No abstract text is available yet for this article.
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415723/a-semi-supervised-deep-learning-method-based-on-stacked-sparse-auto-encoder-for-cancer-prediction-using-rna-seq-data
#7
Yawen Xiao, Jun Wu, Zongli Lin, Xiaodong Zhao
BACKGROUND AND OBJECTIVE: Cancer has become a complex health problem due to its high mortality. Over the past few decades, with the rapid development of the high-throughput sequencing technology and the application of various machine learning methods, remarkable progress in cancer research has been made based on gene expression data. At the same time, a growing amount of high-dimensional data has been generated, such as RNA-seq data, which calls for superior machine learning methods able to deal with mass data effectively in order to make accurate treatment decision...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415722/automated-detection-and-classification-of-liver-fibrosis-stages-using-contourlet-transform-and-nonlinear-features
#8
U Rajendra Acharya, U Raghavendra, Joel E W Koh, Kristen M Meiburger, Edward J Ciaccio, Yuki Hagiwara, Filippo Molinari, Wai Ling Leong, Anushya Vijayananthan, Nur Adura Yaakup, Mohd Kamil Bin Mohd Fabell, Chai Hong Yeong
BACKGROUND AND OBJECTIVE: Liver fibrosis is a type of chronic liver injury that is characterized by an excessive deposition of extracellular matrix protein. Early detection of liver fibrosis may prevent further growth toward liver cirrhosis and hepatocellular carcinoma. In the past, the only method to assess liver fibrosis was through biopsy, but this examination is invasive, expensive, prone to sampling errors, and may cause complications such as bleeding. Ultrasound-based elastography is a promising tool to measure tissue elasticity in real time; however, this technology requires an upgrade of the ultrasound system and software...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415721/nutrition-delivery-workload-and-performance-in-a-model-based-icu-glycaemic-control-system
#9
Kent W Stewart, J Geoffrey Chase, Christopher G Pretty, Geoffrey M Shaw
BACKGROUND AND OBJECTIVE: Hyperglycaemia is commonplace in the adult intensive care unit (ICU), and has been associated with increased morbidity and mortality. Effective glycaemic control (GC) can reduce morbidity and mortality, but has proven difficult. STAR is a model-based GC protocol that uniquely maintains normoglycaemia by changing both insulin and nutrition interventions, and has been proven effective in controlling blood glucose (BG) in the ICU. However, most ICU GC protocols only change insulin interventions, making the variable nutrition aspect of STAR less clinically desirable...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415720/cascaded-classifiers-and-stacking-methods-for-classification-of-pulmonary-nodule-characteristics
#10
Aydin Kaya
BACKGROUND AND OBJECTIVES: Detection and classification of pulmonary nodules are critical tasks in medical image analysis. The Lung Image Database Consortium (LIDC) database is a widely used resource for small pulmonary nodule classification research. This dataset is comprised of nodule characteristic evaluations and CT scans of patients. Although these characteristics are utilized in several studies, they can be used to improve classification performance. METHODS: Numerous methods have been proposed to classify malignancy, but there are not many studies that facilitate nodule characteristics in classification steps...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415719/accurate-liver-vessel-segmentation-via-active-contour-model-with-dense-vessel-candidates
#11
Minyoung Chung, Jeongjin Lee, Jin Wook Chung, Yeong-Gil Shin
BACKGROUND AND OBJECTIVE: The purpose of this paper is to propose a fully automated liver vessel segmentation algorithm including portal vein and hepatic vein on contrast enhanced CTA images. METHODS: First, points of a vessel candidate region are extracted from 3-dimensional (3D) CTA image. To generate accurate points, we reduce 3D segmentation problem to 2D problem by generating multiple maximum intensity (MI) images. After the segmentation of MI images, we back-project pixels to the original 3D domain...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415718/diagnosis-of-urinary-tract-infection-based-on-artificial-intelligence-methods
#12
Ilker Ali Ozkan, Murat Koklu, Ibrahim Unal Sert
BACKGROUND AND OBJECTIVE: Urinary tract infection (UTI) is a common disease affecting the vast majority of people. UTI involves a simple infection caused by urinary tract inflammation as well as a complicated infection that may be caused by an inflammation of other urinary tract organs. Since all of these infections have similar symptoms, it is difficult to identify the cause of primary infection. Therefore, it is not easy to diagnose a UTI with routine examination procedures. Invasive methods that require surgery could be necessary...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415717/fully-automatic-brain-tumor-segmentation-using-end-to-end-incremental-deep-neural-networks-in-mri-images
#13
Mostefa Ben Naceur, Rachida Saouli, Mohamed Akil, Rostom Kachouri
BACKGROUND AND OBJECTIVE: Nowadays, getting an efficient Brain Tumor Segmentation in Multi-Sequence MR images as soon as possible, gives an early clinical diagnosis, treatment and follow-up. The aim of this study is to develop a new deep learning model for the segmentation of brain tumors. The proposed models are used to segment the brain tumors of Glioblastomas (with both high and low grade). Glioblastomas have four properties: different sizes, shapes, contrasts, in addition, Glioblastomas appear anywhere in the brain...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415716/fusion-based-glioma-brain-tumor-detection-and-segmentation-using-anfis-classification
#14
A Selvapandian, K Manivannan
The detection of tumor regions in Glioma brain image is a challenging task due to its low sensitive boundary pixels. In this paper, Non-Sub sampled Contourlet Transform (NSCT) is used to enhance the brain image and then texture features are extracted from the enhanced brain image. These extracted features are trained and classified using Adaptive Neuro Fuzzy Inference System (ANFIS) approach to classify the brain image into normal and Glioma brain image. Then, the tumor regions in Glioma brain image is segmented using morphological functions...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415715/trends-and-characteristics-of-global-medical-informatics-conferences-from-2007-to-2017-a-bibliometric-comparison-of-conference-publications-from-chinese-american-european-and-the-global-conferences
#15
Yuxi Jia, Wei Wang, Jun Liang, Li Liu, Zhenying Chen, Jiajie Zhang, Ting Chen, Jianbo Lei
BACKGROUND: As the second-largest economy in the world, China has invested considerable financial and policy support into hospital informatization since health care reform in 2010. However, the results and experience of such investments have not been compared with relevant research and applications in the United States and Europe. OBJECTIVES: From the perspective of professional conference proceedings, we comparatively analyzed the current situations, characteristics, hotspots, and trends of medical informatics (MI) development in China, the United States and Europe to help Chinese MI researchers and practitioners summarize their experiences and determine gaps compared to their American and European peers...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415714/global-optimal-constrained-ica-and-its-application-in-extraction-of-movement-related-cortical-potentials-from-single-trial-eeg-signals
#16
Elnaz Eilbeigi, Seyed Kamaledin Setarehdan
BACKGROUND AND OBJECTIVE: The constrained ICA (cICA) is a recent approach which can extract the desired source signal by using prior information. cICA employs gradient-based algorithms to optimize non convex objective functions and therefore global optimum solution is not guaranteed. In this study, we propose the Global optimal constrained ICA (GocICA) algorithm for solving the conventional cICA problems. Due to the importance of movement related cortical potentials (MRCPs) for neurorehabilitation and developing a suitable mechanism for detection of movement intention, single-trial MRCP extraction is presented as an application of GocICA...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415713/towards-an-efficient-and-energy-aware-mobile-big-health-data-architecture
#17
Alramzana Nujum Navaz, Mohamed Adel Serhani, Nabeel Al-Qirim, Marton Gergely
BACKGROUND AND OBJECTIVES: Mobile and ubiquitous devices are everywhere, generating an exorbitant amount of data. New generations of healthcare systems are using mobile devices to continuously collect large amounts of different types of data from patients with chronic diseases. The challenge with such Mobile Big Data in general, is how to meet the growing performance demands of the mobile resources handling these tasks, while simultaneously minimizing their consumption. METHODS: This research proposes a scalable architecture for processing Mobile Big Data...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415712/an-improved-support-vector-machine-based-diabetic-readmission-prediction
#18
Shaoze Cui, Dujuan Wang, Yanzhang Wang, Pay-Wen Yu, Yaochu Jin
BACKGROUND AND OBJECTIVE: In healthcare systems, the cost of unplanned readmission accounts for a large proportion of total hospital payment. Hospital-specific readmission rate becomes a critical issue around the world. Quantification and early identification of unplanned readmission risks will improve the quality of care during hospitalization and reduce the occurrence of readmission. In clinical practice, medical workers generally use LACE score method to evaluate patient readmission risks, but this method usually performs poorly...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415711/application-of-multiscale-poincar%C3%A3-short-time-computation-versus-multiscale-entropy-in-analyzing-fingertip-photoplethysmogram-amplitudes-to-differentiate-diabetic-from-non-diabetic-subjects
#19
Bagus Haryadi, Juin J Liou, Hai-Cheng Wei, Ming-Xia Xiao, Hsien-Tsai Wu, Cheuk-Kwan Sun
BACKGROUND AND OBJECTIVES: Multiscale Poincaré (MSP) plots have recently been introduced to facilitate the visualization of time series of physiological signals. This study aimed at investigating the feasibility of MSP application in distinguishing subjects with and without diabetes. METHODS: Using photoplethysmogram (PPG) waveform amplitudes acquired from unilateral fingertip of non-diabetic (n = 34) and diabetic (n = 30) subjects, MSP indices (MSPI) of the two groups were compared using 1000, 500, 250, 100 data points...
November 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/30415710/classification-of-auditory-selective-attention-using-spatial-coherence-and-modular-attention-index
#20
Ana Paula de Souza, Quenaz B Soares, Leonardo B Felix, Eduardo M A M Mendes
BACKGROUND AND OBJECTIVE: Brain-Computer Interfaces (BCIs) based on auditory selective attention have been receiving much attention because i) they are useful for completely paralyzed users since they do not require muscular effort or gaze and ii) focusing attention is a natural human ability. Several techniques - such as recently developed Spatial Coherence (SC) - have been proposed in order to optimize the BCI procedure. Thus, this work aims at investigating and comparing two strategies based on spatial coherence detection: contralateral and modular classifiers...
November 2018: Computer Methods and Programs in Biomedicine
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