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Computer Methods and Programs in Biomedicine

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https://www.readbyqxmd.com/read/28495010/predictive-analytics-through-machine-learning-in-the-clinical-settings
#1
EDITORIAL
Shabbir Syed-Abdul, Usman Iqbal, Yu-Chuan Jack Li
No abstract text is available yet for this article.
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28495009/a-two-step-convolutional-neural-network-based-computer-aided-detection-scheme-for-automatically-segmenting-adipose-tissue-volume-depicting-on-ct-images
#2
Yunzhi Wang, Yuchen Qiu, Theresa Thai, Kathleen Moore, Hong Liu, Bin Zheng
Accurately assessment of adipose tissue volume inside a human body plays an important role in predicting disease or cancer risk, diagnosis and prognosis. In order to overcome limitation of using only one subjectively selected CT image slice to estimate size of fat areas, this study aims to develop and test a computer-aided detection (CAD) scheme based on deep learning technique to automatically segment subcutaneous fat areas (SFA) and visceral fat areas (VFA) depicting on volumetric CT images. A retrospectively collected CT image dataset was divided into two independent training and testing groups...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28495008/a-fully-automatic-approach-for-multimodal-pet-and-mr-image-segmentation-in-gamma-knife-treatment-planning
#3
Leonardo Rundo, Alessandro Stefano, Carmelo Militello, Giorgio Russo, Maria Gabriella Sabini, Corrado D'Arrigo, Francesco Marletta, Massimo Ippolito, Giancarlo Mauri, Salvatore Vitabile, Maria Carla Gilardi
BACKGROUND AND OBJECTIVES: Nowadays, clinical practice in Gamma Knife treatments is generally based on MRI anatomical information alone. However, the joint use of MRI and PET images can be useful for considering both anatomical and metabolic information about the lesion to be treated. In this paper we present a co-segmentation method to integrate the segmented Biological Target Volume (BTV), using [(11)C]-Methionine-PET (MET-PET) images, and the segmented Gross Target Volume (GTV), on the respective co-registered MR images...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28495007/a-lightweight-qrs-detector-for-single-lead-ecg-signals-using-a-max-min-difference-algorithm
#4
Diptangshu Pandit, Li Zhang, Chengyu Liu, Samiran Chattopadhyay, Nauman Aslam, Chee Peng Lim
BACKGROUND AND OBJECTIVES: Detection of the R-peak pertaining to the QRS complex of an ECG signal plays an important role for the diagnosis of a patient's heart condition. To accurately identify the QRS locations from the acquired raw ECG signals, we need to handle a number of challenges, which include noise, baseline wander, varying peak amplitudes, and signal abnormality. This research aims to address these challenges by developing an efficient lightweight algorithm for QRS (i.e., R-peak) detection from raw ECG signals...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28495006/e-health-internationalization-requirements-for-audit-purposes
#5
Sofia Ouhbi, José Luis Fernández-Alemán, Juan Manuel Carrillo-de-Gea, Ambrosio Toval, Ali Idri
BACKGROUND AND OBJECTIVE: In the 21st century, e-health is proving to be one of the strongest drivers for the global transformation of the health care industry. Health information is currently truly ubiquitous and widespread, but in order to guarantee that everyone can appropriately access and understand this information, regardless of their origin, it is essential to bridge the international gap. The diversity of health information seekers languages and cultures signifies that e-health applications must be adapted to satisfy their needs...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28495005/developing-a-ubiquitous-health-management-system-with-healthy-diet-control-for-metabolic-syndrome-healthcare-in-taiwan
#6
Yao-Chiang Kan, Kai-Hong Chen, Hsueh-Chun Lin
BACKGROUND AND OBJECTIVE: Self-management in healthcare can allow patients managing their health data anytime and everywhere for prevention of chronic diseases. This study established a prototype of ubiquitous health management system (UHMS) with healthy diet control (HDC) for people who need services of metabolic syndrome healthcare in Taiwan. METHODS: System infrastructure comprises of three portals and a database tier with mutually supportive components to achieve functionality of diet diaries, nutrition guides, and health risk assessments for self-health management...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28495004/optimized-pid-control-of-depth-of-hypnosis-in-anesthesia
#7
Fabrizio Padula, Clara Ionescu, Nicola Latronico, Massimiliano Paltenghi, Antonio Visioli, Giulio Vivacqua
BACKGROUND AND OBJECTIVE: This paper addresses the use of proportional-integral-derivative controllers for regulating the depth of hypnosis in anesthesia by using propofol administration and the bispectral index as a controlled variable. In fact, introducing an automatic control system might provide significant benefits for the patient in reducing the risk for under- and over-dosing. METHODS: In this study, the controller parameters are obtained through genetic algorithms by solving a min-max optimization problem...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28495003/viral-warts-human-papilloma-virus-as-a-potential-risk-for-breast-cancer-among-younger-females
#8
Suleman Atique, Chung-Ho Hsieh, Ruei-Ting Hsiao, Usman Iqbal, Phung Anh Alex Nguyen, Md Mohaimenul Islam, Yu-Chuan Jack Li, Chien-Yeh Hsu, Ting-Wu Chuang, Shabbir Syed-Abdul
INTRODUCTION: There have been several reports on the role of human papillomavirus (HPV) in the etiology of breast cancer. To our knowledge, this is first study to use disease-disease association data-mining approach to analyzing viral warts and breast cancer to be conducted in Taiwanese population. MATERIALS AND METHODS: We analyzed the Taiwan's National Health Insurance database (NHIDM data comprising of 23 million patient data) to examine the association between viral warts and female breast carcinoma...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28495002/a-hybrid-energy-model-for-region-based-curve-evolution-application-to-cta-coronary-segmentation
#9
Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes-Aldasoro, Greg Slabaugh
BACKGROUND AND OBJECTIVE: State-of-the-art medical imaging techniques have enabled non-invasive imaging of the internal organs. However, high volumes of imaging data make manual interpretation and delineation of abnormalities cumbersome for clinicians. These challenges have driven intensive research into efficient medical image segmentation. In this work, we propose a hybrid region-based energy formulation for effective segmentation in computed tomography angiography (CTA) imagery. METHODS: The proposed hybrid energy couples an intensity-based local term with an efficient discontinuity-based global model of the image for optimal segmentation...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28495001/a-comparison-between-swallowing-sounds-and-vibrations-in-patients-with-dysphagia
#10
Faezeh Movahedi, Atsuko Kurosu, James L Coyle, Subashan Perera, Ervin Sejdić
The cervical auscultation refers to the observation and analysis of sounds or vibrations captured during swallowing using either a stethoscope or acoustic/vibratory detectors. Microphones and accelerometers have recently become two common sensors used in modern cervical auscultation methods. There are open questions about whether swallowing signals recorded by these two sensors provide unique or complementary information about swallowing function; or whether they present interchangeable information. This study aims to compare of swallowing signals recorded by a microphone and a tri-axial accelerometer from 72 patients (mean age 63...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28495000/prognostic-value-of-tumor-volume-for-patients-with-advanced-lung-cancer-treated-with-chemotherapy
#11
Chung-Feng Jeffrey Kuo, Bo-Han Ke, Nain-Ying Wu, Joseph Kuo, Hsian-He Hsu
BACKGROUND AND OBJECTIVE: We aim to develop a reference system utilizing computed tomography to calculate changes in tumor volume of lung cancer patients after chemotherapy to assist physicians in clinical treatment and evaluation. METHODS: Image processing techniques were used to analyze the computed tomography of lung cancer, locate the tumor, and calculate the tumor volume. The medical indicator was then evaluated and analyzed. We examined the correlation between reduced tumor volume and survival duration of 88 patients after chemotherapy at Tri-Service General Hospital, Taiwan...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28494999/modeling-and-control-of-operator-functional-state-in-a-unified-framework-of-fuzzy-inference-petri-nets
#12
Jian-Hua Zhang, Jia-Jun Xia, Jonathan M Garibaldi, Petros P Groumpos, Ru-Bin Wang
BACKGROUND AND OBJECTIVE: In human-machine (HM) hybrid control systems, human operator and machine cooperate to achieve the control objectives. To enhance the overall HM system performance, the discrete manual control task-load by the operator must be dynamically allocated in accordance with continuous-time fluctuation of psychophysiological functional status of the operator, so-called operator functional state (OFS). The behavior of the HM system is hybrid in nature due to the co-existence of discrete task-load (control) variable and continuous operator performance (system output) variable...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28494998/a-novel-method-for-planning-liver-resections-using-deformable-b%C3%A3-zier-surfaces-and-distance-maps
#13
Rafael Palomar, Faouzi A Cheikh, Bjørn Edwin, Åsmund Fretland, Azeddine Beghdadi, Ole J Elle
BACKGROUND AND OBJECTIVE: For more than a decade, computer-assisted surgical systems have been helping surgeons to plan liver resections. The most widespread strategies to plan liver resections are: drawing traces in individual 2D slices, and using a 3D deformable plane. In this work, we propose a novel method which requires low level of user interaction while keeping high flexibility to specify resections. METHODS: Our method is based on the use of Bézier surfaces, which can be deformed using a grid of control points, and distance maps as a base to compute and visualize resection margins (indicators of safety) in real-time...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28494997/multiple-model-predictive-control-for-optimal-drug-administration-of-mixed-immunotherapy-and-chemotherapy-of-tumours
#14
N Sharifi, S Ozgoli, A Ramezani
BACKGROUND: Mixed immunotherapy and chemotherapy of tumours is one of the most efficient ways to improve cancer treatment strategies. However, it is important to 'design' an effective treatment programme which can optimize the ways of combining immunotherapy and chemotherapy to diminish their imminent side effects. Control engineering techniques could be used for this. METHODS: The method of multiple model predictive controller (MMPC) is applied to the modified Stepanova model to induce the best combination of drugs scheduling under a better health criteria profile...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28494996/prediction-of-labor-onset-type-spontaneous-vs-induced-role-of-electrohysterography
#15
Jose Alberola-Rubio, Javier Garcia-Casado, Gema Prats-Boluda, Yiyao Ye-Lin, Domingo Desantes, Javier Valero, Alfredo Perales
BACKGROUND AND OBJECTIVE: Induction of labor (IOL) is a medical procedure used to initiate uterine contractions to achieve delivery. IOL entails medical risks and has a significant impact on both the mother's and newborn's well-being. The assistance provided by an automatic system to help distinguish patients that will achieve labor spontaneously from those that will need late-term IOL would help clinicians and mothers to take an informed decision about prolonging pregnancy. With this aim, we developed and evaluated predictive models using not only traditional obstetrical data but also electrophysiological parameters derived from the electrohysterogram (EHG)...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28494995/high-accuracy-detection-of-airway-obstruction-in-asthma-using-machine-learning-algorithms-and-forced-oscillation-measurements
#16
Jorge L M Amaral, Agnaldo J Lopes, Juliana Veiga, Alvaro C D Faria, Pedro L Melo
BACKGROUND AND OBJECTIVES: The main pathologic feature of asthma is episodic airway obstruction. This is usually detected by spirometry and body plethysmography. These tests, however, require a high degree of collaboration and maximal effort on the part of the patient. There is agreement in the literature that there is a demand of research into new technologies to improve non-invasive testing of lung function. The purpose of this study was to develop automatic classifiers to simplify the clinical use and to increase the accuracy of the forced oscillation technique (FOT) in the diagnosis of airway obstruction in patients with asthma...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28494994/predicting-return-visits-to-the-emergency-department-for-pediatric-patients-applying-supervised-learning-techniques-to-the-taiwan-national-health-insurance-research-database
#17
Ya-Han Hu, Chun-Tien Tai, Solomon Chih-Cheng Chen, Hai-Wei Lee, Sheng-Feng Sung
BACKGROUND AND OBJECTIVE: Return visits (RVs) to the emergency department (ED) consume medical resources and may represent a patient safety issue. The occurrence of unexpected RVs is considered a performance indicator for ED care quality. Because children are susceptible to medical errors and utilize considerable ED resources, knowing the factors that affect RVs in pediatric patients helps improve the quality of pediatric emergency care. METHODS: We collected data on visits made by patients aged ≤18years to EDs from the National Health Insurance Research Database...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28494993/robust-activation-detection-methods-for-real-time-and-offline-fmri-analysis
#18
Kaya Oguz, Muhammed G Cinsdikici, Ali Saffet Gonul
We propose two contributions with novel approaches to fMRI activation analysis. The first is to apply confidence intervals to locate activations in real-time, and second is a new metric based on robust regression of fMRI signals. These contributions are implemented in our four proposed methods; Instantaneous Activation Method (IAM), Instantaneous Activation Method with Past Blocks (IAMP) for real-time analysis, Task Robust Regression Distance Method (TRRD) for the new metric with robust regression and Instantaneous Robust Regression Distance Method (IRRD) for both contributions...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391824/deciphering-the-human-brain-how-health-information-technology-can-help-in-diagnosis-evaluation-and-treatment
#19
EDITORIAL
Ming-Chin Lin, Usman Iqbal, Yu-Chuan Jack Li
No abstract text is available yet for this article.
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391823/location-of-mammograms-roi-s-and-reduction-of-false-positive
#20
Luis Antonio Salazar-Licea, Jesús Carlos Pedraza-Ortega, Alberto Pastrana-Palma, Marco A Aceves-Fernandez
BACKGROUND AND OBJECTIVE: There are many work related with segmentation techniques, including nearest neighbor algorithm, fuzzy rules, morphological filters, image entropy, thresholding, machine learning, wavelet analysis, and so on. Such methods carry out the segmentation, but take a lot of processing time by modifying the content of the image or showing discern problems in homogeneous areas, and the segmentation technique is designed to work efficiently only with the techniques used...
May 2017: Computer Methods and Programs in Biomedicine
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