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Computer Aided Decision Making for Heart Disease Detection using Hybrid Neural Network - Genetic Algorithm
Data mining refers to the extraction of valid patterns, hidden information and relationships from large datasets [1]. This interdisciplinary subfield is employed in banking, insurance, and marketing for cost reduction and quality improvement [2]. Recent years have witnessed a surge of interest in utilizing machine learning and data mining in the field of medicine for early diagnosis [3-10]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - January 17, 2017 Category: Bioinformatics Authors: Zeinab Arabasadi, Roohallah Alizadehsani, Mohamad Roshanzamir, Hossein Moosaei, Ali Asghar Yarifard Source Type: research

Practical Identifiability Analysis of a Minimal Cardiovascular System Model
Mathematical models of the cardiovascular system (CVS) can be used with clinical data to monitor cardiac and circulatory states. To have clinical value, these models must be patient-specific. In other words, the model parameters have to be estimated from data such that model simulations represent the individual patient ’s state [10,22,30,38]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - January 16, 2017 Category: Bioinformatics Authors: Antoine Pironet, Paul D. Docherty, Pierre C. Dauby, J.Geoffrey Chase, Thomas Desaive Source Type: research

An Improved Arteriovenous Classification Method for the Early Diagnostics of Various Diseases in Retinal Image
The retinal vasculature provides lots of information about various ophthalmic and systemic diseases, including diabetes mellitus and cardiovascular diseases. However, these diseases may affect arteries and veins differentially [1]. For instance, retinal veins are abnormally dilated in patients with diabetes mellitus and ipsilateral severe extracranial carotid diseases, while arteries are narrowed in high blood pressure [2, 3]. Besides, these vascular changes often precede the onset of other signs and symptoms associated with these diseases, which makes the analysis of retinal vessels attractive as a biomarker for the early...
Source: Computer Methods and Programs in Biomedicine - January 16, 2017 Category: Bioinformatics Authors: Xiayu Xu, Wenxiang Ding, Michael D. Abr àmoff, Ruofan Cao Source Type: research

An Effective Method for Computerized Prediction and Segmentation of Multiple Sclerosis Lesions in Brain MRI
Multiple sclerosis (MS) is a central nervous system (CNS) disease that damages to the insulating myelin sheaths around the axons in the brain. MS causes the immune system to attack these nerve fibers. The rate of progress of MS varies from person to person and can have periodic remission and relapse. The healthy brain contains White Matter (WM), Grey Matter (GM), and Cerebrospinal Fluid (CSF) [1 –2]. There are three main types of segmentation approaches: manual, semi-automatic, and automatic. Manual segmentation is the base method for lesion segmentation. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - January 9, 2017 Category: Bioinformatics Authors: Sudipta Roy, Debnath Bhattacharyya, Samir Kumar Bandyopadhyay, Tai-Hoon Kim Source Type: research

A Novel End-to-End Classifier Using Domain Transferred Deep Convolutional Neural Networks for Biomedical Images
In the past, biomedical image analysis for diagnosis of diseases for patients was performed using traditional radiological screening techniques and manual identification, which is rather time-consuming and suffers from several critical limitations including the subjectivity of the diagnosed result and the variability between laboratories. Furthermore, with the recent drastic advances in the biomedical image technology [1], many types of biomedical images have been generated in a variety of modalities using advanced medical imaging devices, including CT (Computed Tomography), X-Ray, MS (Microscopic), US (Ultrasound) and MRI...
Source: Computer Methods and Programs in Biomedicine - January 5, 2017 Category: Bioinformatics Authors: Shuchao Pang, Zhezhou Yu, Mehmet A. Orgun Source Type: research

Classification Techniques on Computerized Systems to predict and/or to detect Apnea: A Systematic Review
Sleep apnea syndrome (SAS) is defined as a temporary closure of the upper airway during sleep when air is prevented from entering lungs which may results on the complete cessation of breathing for more than 10s in adults [1]. This is typically, accompanied by a reduction in blood oxygen saturation and leads to arousal from sleep in order to breathe. In addition, repetitive obstructive events during sleep are hypothesized to cause intermittent hypoxia, resulting in activation of oxygen free radicals and an oxidative stress response. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - January 4, 2017 Category: Bioinformatics Authors: Nuno Pombo, Nuno Garcia, Kouamana Bousson Source Type: research

Automatic Diagnosis of Strabismus in Digital Videos through Cover Test
Strabismus is a condition in which the line of sight of one eye does not fixate on the object upon which both eyes are focused [1]. That is, while one of the eyes focuses on the object, the other eye focuses toward another direction, generating a misalignment of the ocular muscles in relation to the eye focus at the frontal point. This anomaly can be classified according to the focus direction in which the deviated eye points, which can be either manifest or latent. The former is identified by simply looking at the patient; the latter requires tests to obtain the diagnosis. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - January 4, 2017 Category: Bioinformatics Authors: Thales Levi Azevedo Valente, Jo ão Dallyson Sousa de Almeida, Aristófanes Corrêa Silva, Jorge Antonio Meireles Teixeira, Marcelo Gattass Source Type: research

ECG artifact cancellation in surface EMG signals by fractional order calculus application
Researchers have been developing advanced surface electromyography (sEMG) applications for decades [1]. In particular, adequate methods for sEMG registration and analysis are crucial for assessment of various neuromuscular pathologies [1, 2]. Despite its wide application, sEMG based assessment might be limited due to inappropriate artifact cancellation [3]. E. g., sEMG recordings of trunk muscles are contaminated by electrocardiography (ECG) interference as a consequence of heart proximity. Various methods for ECG artifact cancellation have been proposed [4 –11]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - January 3, 2017 Category: Bioinformatics Authors: Nadica Miljkovi ć, Nenad Popović, Olivera Djordjević, Ljubica Konstantinović, Tomislav B. Šekara Source Type: research

A personalized medication management platform (PMMP) to improve medication adherence: A randomized control trial
In the Worldwide Health Ranking report issued by “The Economist Intelligence Unit” 2007, Taiwan's healthcare system was ranked second to Sweden and followed by Canada among the top 32 developed nations in the world [1]. This led to many European nations taking interest in Taiwan's National Health Insurance (NHI) model, with the American Public Television network visiting Taiwan to produce special programs on the successful implementation of the NHI system [2]. However, Taiwan is becoming an aging society [3] resulting in increased medical treatment costs and treatment complexities of emerging diseases which contribute ...
Source: Computer Methods and Programs in Biomedicine - December 30, 2016 Category: Bioinformatics Authors: Chu-Ya Huang, Phung-Anh Alex Nguyen, Daniel L. Clinciu, Chun-Kung Hsu, Jui-Chia Richard Lu, Hsuan ‐Chia Yang, Chieh-Chen Wu, Wen-Chen Tsai, Yueh-Ching Chou, Terry B.J. Kuo, Po-Lun Chang, Wen-Shan Jian, Yu-Chuan Jack Li Source Type: research

Identification of fracture zones and its application in automatic bone fracture reduction
The development of computer-assisted techniques increases the information available to specialists before surgery. This information allows reducing surgery time and potential misinterpretations, with the consequent benefits to treatment and recovery time [1]. The reduction of a bone fracture requires properly identifying all the bone fragments, placing them to their original position and stabilizing the fracture. Computer-assisted techniques facilitate the process by enabling interaction with virtual models of fragments, by assisting in the planning of the surgery, by detecting the lack of tissue or by analysing different ...
Source: Computer Methods and Programs in Biomedicine - December 30, 2016 Category: Bioinformatics Authors: F élix Paulano-Godino, Juan J. Jiménez-Delgado Source Type: research

Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma
High-grade brain neoplasms, such as glioblastoma (GBM), are among the most aggressive and difficult-to-treat forms of cancer. Temozolomide, a DNA alkylating agent, is the standard chemotherapeutic agent approved by the U.S. Food and Drug Administration for first-line treatment of GBM. Temozolomide causes alkylation at the O6 guanine position of DNA and induces cytotoxic effects and apoptosis in cancer cells. Recent molecular studies have demonstrated that the methylation status of the O6 methylguanine-DNA methyltransferase (MGMT) gene promoter is a predictor of response to temozolomide and a prognostic indicator of surviva...
Source: Computer Methods and Programs in Biomedicine - December 30, 2016 Category: Bioinformatics Authors: Vasileios G. Kanas, Evangelia I. Zacharaki, Ginu A. Thomas, Pascal O. Zinn, Vasileios Megalooikonomou, Rivka R. Colen Source Type: research

A Personalized Medication Management Platform (PMMP) to Improve Medication Adherence:A Randomized Control Trial
In the Worldwide Health Ranking report issued by “The Economist Intelligence Unit” 2007, Taiwan's healthcare system was ranked second to Sweden and followed by Canada among the top 32 developed nations in the world [1]. This led to many European nations taking interest in Taiwan's National Health Insurance (NHI) model, with the American Public Television network visiting Taiwan to produce special programs on the successful implementation of the NHI system [2]. However, Taiwan is becoming an aging society [3] resulting in increased medical treatment costs and treatment complexities of emerging diseases which contribute ...
Source: Computer Methods and Programs in Biomedicine - December 30, 2016 Category: Bioinformatics Authors: Chu-Ya Huang, Phung-Anh (Alex) Nguyen, Daniel L. Clinciu, Chun-Kung Hsu, Jui-Chia (Richard) Lu, Hsuan ‐Chia Yang, Chieh-Chen Wu, Wen-Chen Tsai, Yueh-Ching Chou, Terry B.J Kuo, Po-Lun Chang, Wen-Shan Jian, Yu-Chuan (Jack) Li Source Type: research

Bidimensional unconstrained optimization approach to EMD: an algorithm revealing skin perfusion alterations in pseudoxanthoma elasticum patients
Pseudoxanthoma elasticum (PXE) is a heritable systemic metabolic disorder that leads to ectopic calcification of soft connective tissue [2,7,26]. Alterations in the ABCC6 gene have been associated with the disease  (see, e.g., [3]). The organs that are primarily affected by PXE are the skin and the eyes [17]. Cutaneous lesions in PXE are asymptomatic yellow-white papules. These papules usually have a diameter of 2 to 5 mm and are “dome-shaped”. The skin thus resembles an orange peel (peau d’orange), s ee Fig. 1. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - December 27, 2016 Category: Bioinformatics Authors: Anne Humeau-Heurtier, Marcelo A. Colominas, Gast ón Schlotthauer, Maxime Etienne, Ludovic Martin, Pierre Abraham Source Type: research

Automated identification of sleep states from EEG signals by means of ensemble empirical mode decomposition and random under sampling boosting
In clinical practice, sleep stage annotation is typically performed by an expert scorer on the basis of visual examination of polysomnographic (PSG) measurements which is composed of electroencephalogram (EEG), electromyogram (EMG) and electrooculogram (EOG). In this respect, Rechtschaffen ’s and Kales’s (R&K) recommendations  [1] are widely followed. The annotation of 8-hour (whole night) recording requires approximately 2-4 hours which is not pragmatic in current clinical settings [2]. Moreover, visual inspection of this gargantuan volume of data not only makes this process onerous for clinicians but also makes sle...
Source: Computer Methods and Programs in Biomedicine - December 26, 2016 Category: Bioinformatics Authors: Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan Source Type: research

Development of antibacterial conjugates using sulfamethoxazole with monocyclic terpenes: a systematic medicinal chemistry based computational approach
The Gram-positive (GP) bacterium, methicillin resistant Staphylococcus aureus (MRSA) causes commonplace infection at hospital and community sectors, with simultaneous aggrandizement of resistance to several antibiotics [1, 2, 3, 4], resulting in additional morbidity and unexpected mortality, through bacteremia. Consequently, it has become now a major public health concern, because very few antibiotics remain effective. Escherichia coli is another shockingly repelling, commensal-turned-pathogen, suffused in communities with several versatile strains causing a range of enteric diseases [5], and urinary tract infection (UTI) ...
Source: Computer Methods and Programs in Biomedicine - December 25, 2016 Category: Bioinformatics Authors: Shasank S. Swain, Sudhir K. Paidesetty, Rabindra N. Padhy Tags: Original article Source Type: research