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Computer Methods and Programs in Biomedicine

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https://www.readbyqxmd.com/read/28859834/two-new-computational-methods-for-data-analysis-a-social-network-analysis-based-classifier-and-the-geeord-sas-module
#1
EDITORIAL
Richard Lu, Usman Iqbal, Yu-Chuan Jack Li
No abstract text is available yet for this article.
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28859833/massively-parallel-simulator-of-optical-coherence-tomography-of-inhomogeneous-turbid-media
#2
Siavash Malektaji, Ivan T Lima, Mauricio R Escobar I, Sherif S Sherif
BACKGROUND AND OBJECTIVE: An accurate and practical simulator for Optical Coherence Tomography (OCT) could be an important tool to study the underlying physical phenomena in OCT such as multiple light scattering. Recently, many researchers have investigated simulation of OCT of turbid media, e.g., tissue, using Monte Carlo methods. The main drawback of these earlier simulators is the long computational time required to produce accurate results. We developed a massively parallel simulator of OCT of inhomogeneous turbid media that obtains both Class I diffusive reflectivity, due to ballistic and quasi-ballistic scattered photons, and Class II diffusive reflectivity due to multiply scattered photons...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28859832/a-novel-and-robust-bayesian-approach-for-segmentation-of-psoriasis-lesions-and-its-risk-stratification
#3
Vimal K Shrivastava, Narendra D Londhe, Rajendra S Sonawane, Jasjit S Suri
BACKGROUND AND OBJECTIVE: The need for characterization of psoriasis lesion severity is clinically valuable and vital for dermatologists since it provides a reliable and precise decision on risk assessment. The automated delineation of lesion is a prerequisite prior to characterization, which is challenging itself. Thus, this paper has two major objectives: (a) design of a segmentation system which can model by learning the lesion characteristics and this is posed as a Bayesian model; (b) develop a psoriasis risk assessment system (pRAS) by crisscrossing the blocks which drives the fundamental machine learning paradigm...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28859831/automatic-reconstruction-of-the-muscle-architecture-from-the-superficial-layer-fibres-data
#4
Josef Kohout, David Cholt
BACKGROUND AND OBJECTIVE: Physiological cross-sectional area (PCSA) of a muscle plays a significant role in determining the force contribution of muscle fascicles to skeletal movement. This parameter is typically calculated from the lengths of muscle fibres selectively sampled from the superficial layer of the muscle. However, recent studies have found that the length of fibres in the superficial layer often differs significantly (p < 0.5) from the length of fibres in the deep layer...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28859830/social-network-analysis-based-classifier-snac-a-case-study-on-time-course-gene-expression-data
#5
Serkan Üçer, Yunuscan Koçak, Tansel Ozyer, Reda Alhajj
BACKGROUND AND OBJECTIVES: Social Network Analysis is an attractive approach to model and analyze complex networks. In recent years, several bioinformatics related networks have been modeled and analyzed thoroughly using social network analysis. The objective of this study is to build a social network analysis based classifier for time sequential data. METHODS: In this work, we model a genomic time sequential data as a 'social' network of interactions. We define interactions as similarity of patients' measurements...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28859829/multi-model-based-interactive-authoring-environment-for-creating-shareable-medical-knowledge
#6
Taqdir Ali, Maqbool Hussain, Wajahat Ali Khan, Muhammad Afzal, Jamil Hussain, Rahman Ali, Waseem Hassan, Arif Jamshed, Byeong Ho Kang, Sungyoung Lee
OBJECTIVE: Technologically integrated healthcare environments can be realized if physicians are encouraged to use smart systems for the creation and sharing of knowledge used in clinical decision support systems (CDSS). While CDSSs are heading toward smart environments, they lack support for abstraction of technology-oriented knowledge from physicians. Therefore, abstraction in the form of a user-friendly and flexible authoring environment is required in order for physicians to create shareable and interoperable knowledge for CDSS workflows...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28859828/liver-vessel-segmentation-and-identification-based-on-oriented-flux-symmetry-and-graph-cuts
#7
Ye-Zhan Zeng, Yu-Qian Zhao, Ping Tang, Miao Liao, Yi-Xiong Liang, Sheng-Hui Liao, Bei-Ji Zou
BACKGROUND AND OBJECTIVE: Accurate segmentation of liver vessels from abdominal computer tomography angiography (CTA) volume is very important for liver-vessel analysis and living-related liver transplants. This paper presents a novel liver-vessel segmentation and identification method. METHODS: Firstly, an anisotropic diffusion filter is used to smooth noise while preserving vessel boundaries. Then, based on the gradient symmetry and antisymmetry pattern of vessel structures, optimal oriented flux (OOF) and oriented flux antisymmetry (OFA) measures are respectively applied to detect liver vessels and their boundaries, and further to slenderize vessels...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28859827/geeord-a-sas-macro-for-analyzing-ordinal-response-variables-with-repeated-measures-through-proportional-odds-partial-proportional-odds-or-non-proportional-odds-models
#8
Xiaoming Gao, Todd A Schwartz, John S Preisser, Jamie Perin
BACKGROUND AND OBJECTIVE: A SAS macro, GEEORD, has been developed for the analysis of ordinal responses with repeated measures through a regression model that flexibly allows the proportional odds assumption to apply (or not) separately for each explanatory variable. METHODS AND RESULTS: Previously utilized in an analysis of a longitudinal orthognathic surgery clinical trial by Preisser et al. [1,2], the basis of GEEORD is the generalized estimating equations (GEE) method for cumulative logits models described by Lipsitz et al...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28859826/an-alzheimers-disease-related-genes-identification-method-based-on-multiple-classifier-integration
#9
Yu Miao, Huiyan Jiang, Huiling Liu, Yu-Dong Yao
BACKGROUND AND OBJECTIVE: Alzheimers disease (AD) is a fatal neurodegenerative disease and the onset of AD is insidious. Full understanding of the AD-related genes (ADGs) has not been completed. The National Center for Biotechnology Information (NCBI) provides an AD dataset of 22,283 genes. Among these genes, 71 genes have been identified as ADGs. But there may still be underlying ADGs that have not yet been identified in the remaining 22,212 genes. This paper aims to identify additional ADGs using machine learning techniques...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28859825/multi-modal-discriminative-dictionary-learning-for-alzheimer-s-disease-and-mild-cognitive-impairment
#10
Qing Li, Xia Wu, Lele Xu, Kewei Chen, Li Yao, Rui Li
BACKGROUND AND OBJECTIVE: The differentiation of mild cognitive impairment (MCI), which is the prodromal stage of Alzheimer's disease (AD), from normal control (NC) is important as the recent research emphasis on early pre-clinical stage for possible disease abnormality identification, intervention and even possible prevention. METHODS: The current study puts forward a multi-modal supervised within-class-similarity discriminative dictionary learning algorithm (SCDDL) we introduced previously for distinguishing MCI from NC...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802333/solving-the-adoption-bottleneck-to-streamline-application-of-medical-informatics
#11
EDITORIAL
Ming-Chin Lin, Usman Iqbal, Yu-Chuan Jack Li
No abstract text is available yet for this article.
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802332/new-algorithms-for-processing-time-series-big-eeg-data-within-mobile-health-monitoring-systems
#12
Mohamed Adel Serhani, Mohamed El Menshawy, Abdelghani Benharref, Saad Harous, Alramzana Nujum Navaz
BACKGROUND AND OBJECTIVES: Recent advances in miniature biomedical sensors, mobile smartphones, wireless communications, and distributed computing technologies provide promising techniques for developing mobile health systems. Such systems are capable of monitoring epileptic seizures reliably, which are classified as chronic diseases. Three challenging issues raised in this context with regard to the transformation, compression, storage, and visualization of big data, which results from a continuous recording of epileptic seizures using mobile devices...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802331/preliminary-physician-and-pharmacist-survey-of-the-national-health-insurance-pharmacloud-system-in-taiwan
#13
Yu-Ting Tseng, Elizabeth H Chang, Li-Na Kuo, Wan-Chen Shen, Kuan-Jen Bai, Chih-Chi Wang, Hsiang-Yin Chen
BACKGROUND: The PharmaCloud system, a cloud-based medication system, was launched by the Taiwan National Health Insurance Administration (NHIA) in 2013 to integrate patients' medication lists among different medical institutions. The aim of the preliminary study was to evaluate satisfaction with this system among physicians and pharmacists at the early stage of system implementation. METHODS: A questionnaire was developed through a review of the literature and discussion in 6 focus groups to understand the level of satisfaction, attitudes, and intentions of physicians and pharmacists using the PharmaCloud system...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802330/fast-detection-of-the-main-anatomical-structures-in-digital-retinal-images-based-on-intra-and-inter-structure-relational-knowledge
#14
José M Molina-Casado, Enrique J Carmona, Julián García-Feijoó
BACKGROUND AND OBJECTIVE: The anatomical structure detection in retinal images is an open problem. However, most of the works in the related literature are oriented to the detection of each structure individually or assume the previous detection of a structure which is used as a reference. The objective of this paper is to obtain simultaneous detection of the main retinal structures (optic disc, macula, network of vessels and vascular bundle) in a fast and robust way. METHODS: We propose a new methodology oriented to accomplish the mentioned objective...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802329/skin-lesion-computational-diagnosis-of-dermoscopic-images-ensemble-models-based-on-input-feature-manipulation
#15
Roberta B Oliveira, Aledir S Pereira, João Manuel R S Tavares
BACKGROUND AND OBJECTIVES: The number of deaths worldwide due to melanoma has risen in recent times, in part because melanoma is the most aggressive type of skin cancer. Computational systems have been developed to assist dermatologists in early diagnosis of skin cancer, or even to monitor skin lesions. However, there still remains a challenge to improve classifiers for the diagnosis of such skin lesions. The main objective of this article is to evaluate different ensemble classification models based on input feature manipulation to diagnose skin lesions...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802328/hybrid-pet-mri-co-segmentation-based-on-joint-fuzzy-connectedness-and-graph-cut
#16
Arafet Sbei, Khaoula ElBedoui, Walid Barhoumi, Philippe Maksud, Chokri Maktouf
BACKGROUND AND OBJECTIVE: Tumor segmentation from hybrid PET/MRI scans may be highly beneficial in radiotherapy treatment planning. Indeed, it gives for both modalities the suitable information that could make the delineation of tumors more accurate than using each one apart. We aim in this work to propose a co-segmentation method that deals with several challenges, notably the lack of one-to-one correspondence between tumors of the two modalities and the boundaries' smoothing. METHODS: The proposed method is designed to surpass these limits, we propose a segmentation method based on the GCsum(max) technique...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802327/three-dimensional-motion-capture-applied-to-violin-playing-a-study-on-feasibility-and-characterization-of-the-motor-strategy
#17
Andrea Ancillao, Bernardo Savastano, Manuela Galli, Giorgio Albertini
BACKGROUND AND OBJECTIVE: Playing string instruments requires advanced motor skills and a long training that is often spent in uncomfortable postures that may lead to injuries or musculoskeletal disorders. Thus, it is interesting to objectively characterize the motor strategy adopted by the players. In this work, we implemented a method for the quantitative analysis of the motor performance of a violin player. METHODS: The proposed protocol takes advantage of an optoelectronic system and some infra-red reflecting markers in order to track player's motion...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802326/a-biological-inspired-fuzzy-adaptive-window-median-filter-fawmf-for-enhancing-dna-signal-processing
#18
Muneer Ahmad, Low Tan Jung, Al-Amin Bhuiyan
BACKGROUND AND OBJECTIVE: Digital signal processing techniques commonly employ fixed length window filters to process the signal contents. DNA signals differ in characteristics from common digital signals since they carry nucleotides as contents. The nucleotides own genetic code context and fuzzy behaviors due to their special structure and order in DNA strand. Employing conventional fixed length window filters for DNA signal processing produce spectral leakage and hence results in signal noise...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28802325/snomed2hl7-a-tool-to-normalize-and-bind-snomed-ct-concepts-to-the-hl7-reference-information-model
#19
D Perez-Rey, R Alonso-Calvo, S Paraiso-Medina, C R Munteanu, M Garcia-Remesal
BACKGROUND: Current clinical research and practice requires interoperability among systems in a complex and highly dynamic domain. There has been a significant effort in recent years to develop integrative common data models and domain terminologies. Such efforts have not completely solved the challenges associated with clinical data that are distributed among different and heterogeneous institutions with different systems to encode the information. Currently, when providing homogeneous interfaces to exploit clinical data, certain transformations still involve manual and time-consuming processes that could be automated...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28774444/the-integration-of-image-processing-and-machine-learning-for-the-diagnosis-of-stroke-in-ct
#20
EDITORIAL
Chung-Ming Lo, Shabbir Syed-Abdul, Yu-Chuan Jack Li
No abstract text is available yet for this article.
September 2017: Computer Methods and Programs in Biomedicine
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