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Computer Methods and Programs in Biomedicine

Ming-Chin Lin, Usman Iqbal, Yu-Chuan Li
No abstract text is available yet for this article.
October 2018: Computer Methods and Programs in Biomedicine
Mücahid Barstuğan, Rahime Ceylan, Semih Asoglu, Hakan Cebeci, Mustafa Koplay
BACKGROUND AND OBJECTIVE: Adrenal tumors, which occur on adrenal glands, are incidentally determined. The liver, spleen, spinal cord, and kidney surround the adrenal glands. Therefore, tumors on the adrenal glands can be adherent to other organs. This is a problem in adrenal tumor segmentation. In addition, low contrast, non-standardized shape and size, homogeneity, and heterogeneity of the tumors are considered as problems in segmentation. METHODS: This study proposes a computer-aided diagnosis (CAD) system to segment adrenal tumors by eliminating the above problems...
October 2018: Computer Methods and Programs in Biomedicine
Huan Deng, Jing Wang, Xingyu Liu, Bangtao Liu, Jianbo Lei
BACKGROUND: As the world's second largest economy, China makes unique contributions to the world in many fields, including sociology, the economy, technology and defense. Medical informatics (MI) is an important cross-disciplinary field that, along with its applications, has received massive funding from the Chinese government. However, the question of how to evaluate China's input and output in MI remains important and complex issue of great significance for China and the rest of the world...
October 2018: Computer Methods and Programs in Biomedicine
Hai-Hui Huang, Yong Liang
BACKGROUND AND OBJECTIVE: An important issue in genomic research is to identify the significant genes that related to survival from tens of thousands of genes. Although Cox proportional hazards model is a conventional survival analysis method, it does not induce the gene selection. METHODS: In this paper, we extend the hybrid L1/2  + 2 regularization (HLR) idea to the censored survival situation, a new edition of sparse Cox model based on the HLR method has been proposed...
October 2018: Computer Methods and Programs in Biomedicine
Arkaitz Artetxe, Andoni Beristain, Manuel Graña
OBJECTIVES: Hospital readmission risk prediction facilitates the identification of patients potentially at high risk so that resources can be used more efficiently in terms of cost-benefit. In this context, several models for readmission risk prediction have been proposed in recent years. The goal of this review is to give an overview of prediction models for hospital readmission, describe the data analysis methods and algorithms used for building the models, and synthesize their results...
October 2018: Computer Methods and Programs in Biomedicine
Qing Lan, Hongyue Sun, John Robertson, Xinwei Deng, Ran Jin
BACKGROUND AND OBJECTIVE: Liver quality evaluation is one of the vital steps for predicting the success of liver transplantation. Current evaluation methods, such as biopsy and visual inspection, which are either invasive or lack of consistent standards, provide limited predictive value of long-term transplant viability. Objective analytical models, based on the real-time infrared images of livers during perfusion and preservation, are proposed as novel methods to precisely evaluate donated liver quality...
October 2018: Computer Methods and Programs in Biomedicine
Umair Qazi, Mahdi Haq, Nabhan Rashad, Khalid Rashid, Shahid Ullah, Usman Raza
No abstract text is available yet for this article.
October 2018: Computer Methods and Programs in Biomedicine
Hui Xie, Weihua Gao, Baodong Xing, Daniel F Heitjan, Donald Hedeker, Chengbo Yuan
BACKGROUND AND OBJECTIVE: The popular assumption of ignorability simplifies analyses with incomplete data, but if it is not satisfied, results may be incorrect. Therefore it is necessary to assess the sensitivity of empirical findings to this assumption. We have created a user-friendly and freely available software program to conduct such analyses. METHOD: One can evaluate the dependence of inferences on the assumption of ignorability by measuring their sensitivity to its violation...
October 2018: Computer Methods and Programs in Biomedicine
Shekhar S Chandra, Jason A Dowling, Craig Engstrom, Ying Xia, Anthony Paproki, Aleš Neubert, David Rivest-Hénault, Olivier Salvado, Stuart Crozier, Jurgen Fripp
Biomedical imaging analysis typically comprises a variety of complex tasks requiring sophisticated algorithms and visualising high dimensional data. The successful integration and deployment of the enabling software to clinical (research) partners, for rigorous evaluation and testing, is a crucial step to facilitate adoption of research innovations within medical settings. In this paper, we introduce the Simple Medical Imaging Library Interface (SMILI), an object oriented open-source framework with a compact suite of objects geared for rapid biomedical imaging (cross-platform) application development and deployment...
October 2018: Computer Methods and Programs in Biomedicine
Junming Zhang, Yan Wu
BACKGROUND AND OBJECTIVE: Despite numerous deep learning methods being developed for automatic sleep stage classification, almost all the models need labeled data. However, obtaining labeled data is a subjective process. Therefore, the labels will be different between two experts. At the same time, obtaining labeled data also is a time-consuming task. Even an experienced expert requires hours to annotate the sleep stage patterns. More important, as the development of wearable sleep devices, it is very difficult to obtain labeled sleep data...
October 2018: Computer Methods and Programs in Biomedicine
Xiaowei Li, Jianxiu Li, Bin Hu, Jing Zhu, Xuemin Zhang, Liuqing Wei, Ning Zhong, Mi Li, Zhijie Ding, Jing Yang, Lan Zhang
BACKGROUND AND OBJECTIVE: Strands of evidence have supported existence of negative attentional bias in patients with depression. This study aimed to assess the behavioral and electrophysiological signatures of attentional bias in major depressive disorder (MDD) and explore whether ERP components contain valuable information for discriminating between MDD patients and healthy controls (HCs). METHODS: Electroencephalography data were collected from 17 patients with MDD and 17 HCs in a dot-probe task, with emotional-neutral pairs as experimental materials...
October 2018: Computer Methods and Programs in Biomedicine
Jana Faganeli Pucer, Matjaž Kukar
BACKGROUND AND OBJECTIVE: Arrhythmias are one of the most common symptoms of cardiac failure. They are usually diagnosed using ECG recordings, particularly long ambulatory recordings (AECG). These recordings are tedious to interpret by humans due to their extent (up to 48 h) and the relative scarcity of arrhythmia events. This makes automated systems for detecting various AECG anomalies indispensable. In this work we present a novel procedure based on topological principles (Morse theory) for detecting arrhythmic beats in AECG...
October 2018: Computer Methods and Programs in Biomedicine
Wasswa William, Andrew Ware, Annabella Habinka Basaza-Ejiri, Johnes Obungoloch
BACKGROUND AND OBJECTIVE: Early diagnosis and classification of a cancer type can help facilitate the subsequent clinical management of the patient. Cervical cancer ranks as the fourth most prevalent cancer affecting women worldwide and its early detection provides the opportunity to help save life. To that end, automated diagnosis and classification of cervical cancer from pap-smear images has become a necessity as it enables accurate, reliable and timely analysis of the condition's progress...
October 2018: Computer Methods and Programs in Biomedicine
Qurat-Ul-Ain Mubarak, Muhammad Usman Akram, Arslan Shaukat, Farhan Hussain, Sajid Gul Khawaja, Wasi Haider Butt
BACKGROUND AND OBJECTIVE: Accurate localization of heart beats in phonocardiogram (PCG) signal is very crucial for correct segmentation and classification of heart sounds into S1 and S2. This task becomes challenging due to inclusion of noise in acquisition process owing to number of different factors. In this paper we propose a system for heart sound localization and classification into S1 and S2. The proposed system introduces the concept of quality assessment before localization, feature extraction and classification of heart sounds...
October 2018: Computer Methods and Programs in Biomedicine
Marwa Hmida, Kamel Hamrouni, Basel Solaiman, Sana Boussetta
BACKGROUND AND OBJECTIVE: Accurate mass segmentation in mammographic images is a critical requirement for computer-aided diagnosis systems since it allows accurate feature extraction and thus improves classification precision. METHODS: In this paper, a novel automatic breast mass segmentation approach is presented. This approach consists of mainly three stages: contour initialization applied to a given region of interest; construction of fuzzy contours and estimation of fuzzy membership maps of different classes in the considered image; integration of these maps in the Chan-Vese model to get a fuzzy-energy based model that is used for final delineation of mass...
October 2018: Computer Methods and Programs in Biomedicine
Hermenegildo Fabregat, Lourdes Araujo, Juan Martinez-Romo
BACKGROUND AND OBJECTIVE: There is a huge amount of rare diseases, many of which have associated important disabilities. It is paramount to know in advance the evolution of the disease in order to limit and prevent the appearance of disabilities and to prepare the patient to manage the future difficulties. Rare disease associations are making an effort to manually collect this information, but it is a long process. A lot of information about the consequences of rare diseases is published in scientific papers, and our goal is to automatically extract disabilities associated with diseases from them...
October 2018: Computer Methods and Programs in Biomedicine
Jorge Pérez, Alicia Pérez, Arantza Casillas, Koldo Gojenola
BACKGROUND AND OBJECTIVES: Electronic health records (EHRs) convey vast and valuable knowledge about dynamically changing clinical practices. Indeed, clinical documentation entails the inspection of massive number of records across hospitals and hospital sections. The goal of this study is to provide an efficient framework that will help clinicians explore EHRs and attain alternative views related to both patient-segments and diseases, like clustering and statistical information about the development of heart diseases (replacement of pacemakers, valve implantation etc...
October 2018: Computer Methods and Programs in Biomedicine
Mingping Qi, Jianhua Chen, Yitao Chen
BACKGROUND AND OBJECTIVES: Telecare Medicine Information System (TMIS) enables physicians to efficiently and conveniently make certain diagnoses and medical treatment for patients over the insecure public Internet. To ensure patients securely access to medicinal services, many authentication schemes have been proposed. Although numerous cryptographic authentication schemes for TMIS have been proposed with the aim to ensure data security, user privacy and authentication, various forms of attacks make these schemes impractical...
October 2018: Computer Methods and Programs in Biomedicine
Francisco J Fraga, Godofredo Quispe Mamani, Erin Johns, Guilherme Tavares, Tiago H Falk, Natalie A Phillips
BACKGROUND AND OBJECTIVE: In this study we investigate whether or not event-related potentials (ERP) and/or event-related (de)synchronization (ERD/ERS) can be used to differentiate between 27 healthy elderly (HE), 21 subjects diagnosed with mild cognitive impairment (MCI) and 15 mild Alzheimer's disease (AD) patients. METHODS: Using 32-channel EEG recordings, we measured ERP responses to a three-level (N-back, N = 0,1,2) visual working memory task. We also performed ERD analysis over the same EEG data, dividing the full-band signal into the well-known delta, theta, alpha, beta and gamma bands...
October 2018: Computer Methods and Programs in Biomedicine
Z T Al-Qaysi, B B Zaidan, A A Zaidan, M S Suzani
CONTEXT: Intelligent wheelchair technology has recently been utilised to address several mobility problems. Techniques based on brain-computer interface (BCI) are currently used to develop electric wheelchairs. Using human brain control in wheelchairs for people with disability has elicited widespread attention due to its flexibility. OBJECTIVE: This study aims to determine the background of recent studies on wheelchair control based on BCI for disability and map the literature survey into a coherent taxonomy...
October 2018: Computer Methods and Programs in Biomedicine
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