Computer Methods and Programs in Biomedicine This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Editorial Board
(Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - May 10, 2017 Category: Bioinformatics Source Type: research

Predictive Analytics through Machine Learning in the clinical settings
One of the frequently asked questions by informatics students is “What is the difference between Machine Learning and Prediction models?” It is common to misuse and misunderstood the word “Machine Learning”. Predictive Analytics is a use and Machine Learning is a technique. Although, there are other traditional statistical methods available for predictive analytics, Machine Learning techniques have their own nuances and advantages. This month's Editor's choice articles are about prediction models and machine learning techniques used in clinical settings. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - May 10, 2017 Category: Bioinformatics Authors: Shabbir Syed-Abdul, Usman Iqbal, Yu-Chuan (Jack) Li Tags: Editorial Source Type: research

Examining Applying High Performance Genetic Data Feature Selection and Classification Algorithms for Colon Cancer Diagnosis
According to the World Health Organization, “cancer is considered among the leading causes of death over the world, with approximately 14 million cases and 8.2 million cancer-related deaths every year” [1]. Cancer arises from genetic mutations of normal cells. These mutations cause damage to the DNA and affect the life cycle of the cells causing them to reproduce in an uncontrolled manner, and perhaps resulting in the formation of malignant tumors (cancers) [1]. According to Stewart and Wild, colon cancer has been identified as the fourth most common cause worldwide of cancer-related death [2]. (Source: Computer Method...
Source: Computer Methods and Programs in Biomedicine - May 4, 2017 Category: Bioinformatics Authors: Murad Al-Rajab, Joan Lu, Qiang Xu Source Type: research

Biomechanically driven unsteady non-uniform flow of Copper water and Silver water nanofluids through finite length channel
Peristalsis is a physiological phenomenon specially found in the digestive system where food bolus propelled by continuous propulsion of muscle contraction and relaxation. It is a natural transport mechanism where physiological fluids are pushed from one part to another part of the body without any contaminations. This mechanism is also applied in industrial applications where various types of peristaltic pumps are being manufactured and used in biomedical science [1] and industry [2-3]. These pumps are frequently used in transportations of physiological fluids and industrial fluids without being contaminated due to contac...
Source: Computer Methods and Programs in Biomedicine - April 29, 2017 Category: Bioinformatics Authors: Noreen Sher Akbar, Adil Wahid Butt, Dharmendra Tripathi Source Type: research

Imaging of Heart Acoustic Based on the Sub-space Methods Using a Microphone Array
Heart sounds are mostly generated by acceleration or deceleration of blood in a cardiac cycle; while, heart murmurs are generated by the turbulence of blood whileand after passing the cardiac valves [1, 2]. During a Phonocardiogram (PCG) cycle, the S1 and S2 segments are two main parts produced by the closures of the involved cardiac valves [3, 4]. The heart sounds and murmurs are relatively weak signals in the frequency range of 0.1-2000 Hz, while a part of their low frequency bound is not in the audibility range [1]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 27, 2017 Category: Bioinformatics Authors: Hanie Moghaddasi, Farshad Almasganj, Arezoo Zoroufian Source Type: research

Editorial Board
(Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 26, 2017 Category: Bioinformatics Source Type: research

Deciphering the human brain: How health information technology can help in diagnosis, evaluation, and treatment
The brain remains one of the most mysterious organs of the human body. Unlike other organs that we can touch, study, and examine, even the finest touch of the human brain can cause hemorrhaging and lead to death. Neuroscientists are still actively developing different approaches to studying the human brain. This month's Editor's Choice articles demonstrate how to use health information technology to decipher the human brain to improve neuroscience research. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 26, 2017 Category: Bioinformatics Authors: Ming-Chin Lin, Usman Iqbal, Yu-Chuan   (Jack) Li Tags: Editorial Source Type: research

Benchmarking of a T-Wave Alternans detection method based on empirical mode decomposition
The phenomenon of T –wave alternans (TWA), which is found on the surface electrocardiogram (ECG) as a periodic pattern given on an every–other–beat basis, is referred to the subtle variations of amplitude, waveform, and duration of the ST–T complex. Also named repolarization alternans, it has been found to be a clinical method to identify patients at risk for malignant arrhythmias and also as a marker for stratifying risk of sudden cardiac death (SCD) [1–3]. From a theoretical point of view, the problem statement for its characterization is easy and well defined, as it basically consists of finding a p eriodic p...
Source: Computer Methods and Programs in Biomedicine - April 25, 2017 Category: Bioinformatics Authors: Manuel Blanco –Velasco, Rebeca Goya–Esteban, Fernando Cruz–Roldán, Arcadi García–Alberola, José Luis Rojo–Álvarez Source Type: research

Research and improvement of ECG compression algorithm based on EZW
The typical ECG is made up of P, QRS and T wavebands, as shown in Fig. 1. When real-time electrocardiogram(ECG) monitor systems can extract and detect cardiac signals in real time, large amounts of data is required to store and send [1]. In order to reduce the bit rate, the ECG data need to be compressed efficiently. In the past several years, many different signal compression techniques have been designed for the ECG signal, so as to overcome wireless transmission and storage problems [2]. The current ECG compression algorithms can be divided into two groups: direct and transform schemes [3]. (Source: Computer Methods and...
Source: Computer Methods and Programs in Biomedicine - April 24, 2017 Category: Bioinformatics Authors: Ziran Peng, Guojun Wang, Huabin Jiang, Shuangwu Meng Source Type: research

BRAIM: A computer-aided diagnosis system for neurodegenerative diseases and brain lesion monitoring from volumetric analyses.
Neurological disorders are one of the most common health problems of the population that negatively affect their individual autonomy and well-being. Besides the physiological aging and natural cognitive decline, numerous diseases such as Parkinson disease, Multiple Sclerosis, and many common processes in the adult population (i.e. infections, neoplasms, systemic diseases, drug consumption, etc.) can adversely affect cognitive functions both acute or chronically [1,2]. Regardless etiology, in all cases an early diagnosis is crucial to proceed with appropriate therapeutic measures in order to improve patients quality of life...
Source: Computer Methods and Programs in Biomedicine - April 20, 2017 Category: Bioinformatics Authors: Sandra Morales, Angela Bernabeu-Sanz, Fernando L ópez-Mir, Pablo González, Luis Luna, Valery Naranjo Source Type: research

Separation of P300 Event-Related Potential using Time Varying Time-lag Blind Source Separation Algorithm
Human brain always generates electrical signals, termed background electroencephalogram (EEG) [1]. When the brain receives an internal or external input, a specific electrical response is added to the background EEG which is so called event-related potential (ERP) [2, 3]. External events are those received by human sensors, i.e. audio or visual stimuli, while internal events are defined as mental tasks like attention, decision making, working memory, imagery movement, or performing an arithmetic task. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 19, 2017 Category: Bioinformatics Authors: Malihe Sabeti, Reza Boostani Source Type: research

Feature Selection using Ant Colony Optimization with Tandem-Run Recruitment to Diagnose Bronchitis from CT scan images
Chronic Obstructive Pulmonary Disease (COPD) is a major cause of mortality across the world. According to WHO, COPD is a serious lung ailment that is marked by a persistent blockage of airflow from the lungs [1]. Global initiative for chronic Obstructive Lung Disease (GOLD) defines COPD as a state of disease that is characterized by limited airflow and is not fully reversible [2]. COPD is not curable, but treatment can slow the progress of the disease. Obstruction in air flow is due to two main conditions: Emphysema and Chronic Bronchitis. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 18, 2017 Category: Bioinformatics Authors: J. Dhalia Sweetlin, H. Khanna Nehemiah, A. Kannan Source Type: research

A Novel Clinical Decision Support Algorithm for Constructing Complete Medication Histories
It is estimated that 82% of American adults take at least one medication, and 29% take five or more medications [1]. Although prescription medication use undoubtedly improves the health and quality of life for millions of Americans, the increasing complexity of their use also comes with a number of disadvantages. Adverse drug events (ADEs) are responsible for nearly 700,000 emergency department visits and 120,000 hospitalizations annually [2] and contribute an estimated $21 billion in wasteful healthcare spending [3]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 18, 2017 Category: Bioinformatics Authors: Ju Long, Michael Juntao Yuan Source Type: research

An Automatic Non-Invasive Method for Parkinson's disease Classification
Approximately 60,000 Americans are diagnosed with Parkinson's disease (PD) each year in US and there is an estimate of seven to ten million people worldwide that are living with Parkinson's disease (statistics of Parkinson's disease foundation, [1]). Parkinson's is a neurodegenerative disease which is characterized by incapability of nerve cells to produce enough neurotransmitter in brain known as “dopamine”, affecting the gait pattern of an individual. The use of functional neuroimaging for diagnosis of neurodegenerative diseases including Parkinson's has been quite popular [2,3] however still there is a need of an al...
Source: Computer Methods and Programs in Biomedicine - April 17, 2017 Category: Bioinformatics Authors: Deepak Joshi, Aayushi Khajuria, Pradeep Joshi Source Type: research

Adaptive Neuro-Fuzzy Inference System for Breath Phase Detection and Breath Cycle Segmentation
The observation of the respiratory pattern in many patients with cardiac and pulmonary illnesses is vital [1,2], mainly for the identification of the respiratory rate, which can show signs of poor health conditions [3]. Respiratory rate monitoring is also important in patients with sleep apnea [4] because respiration is slower or completely stopped in cases of sleep apnea. Hence, an abnormal respiration rate can serve in the diagnosis of sleep apnea at an early stage. Respiratory rate detection also helps the detection of breath phases (Inspiratory /Expiratory), which aids breath cycle segmentation for computerized breath ...
Source: Computer Methods and Programs in Biomedicine - April 14, 2017 Category: Bioinformatics Authors: Rajkumar Palaniappan, Kenneth Sundaraj, Sebastian Sundaraj Source Type: research