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https://www.readbyqxmd.com/read/28231679/-use-the-markov-decision-tree-model-to-optimize-vaccination-strategies-of-hepatitis-e-among-women-aged-15-to-49
#1
Z M Chen, S B Ji, X L Shi, Y Y Zhao, X F Zhang, H Jin
Objective: To evaluate the cost-utility of different hepatitis E vaccination strategies in women aged 15 to 49. Methods: The Markov-decision tree model was constructed to evaluate the cost-utility of three hepatitis E virus vaccination strategies. Parameters of the models were estimated on the basis of published studies and experience of experts. Both methods on sensitivity and threshold analysis were used to evaluate the uncertainties of the model. Results: Compared with non-vaccination group, strategy on post-screening vaccination with rate as 100%, could save 0...
February 10, 2017: Zhonghua Liu Xing Bing Xue za Zhi, Zhonghua Liuxingbingxue Zazhi
https://www.readbyqxmd.com/read/28231514/the-social-and-economic-impact-of-biofortification-through-genetic-modification
#2
REVIEW
Hans De Steur, Matty Demont, Xavier Gellynck, Alexander J Stein
Genetic modification (GM) has been advocated as an alternative or complement to micronutrient interventions such as supplementation, fortification or dietary diversification. While proof-of-concept of various GM biofortified crops looks promising, the decision tree of policy makers is much more complex, and requires insight on their socio-economic impacts: Will it actually work? Is it financially sound? Will people accept it? Can it be implemented in a globalized world? This review shows that GM biofortification could effectively reduce the burden of micronutrient deficiencies, in an economically viable way, and is generally well received by target beneficiaries, despite some resistance and uncertainty...
February 20, 2017: Current Opinion in Biotechnology
https://www.readbyqxmd.com/read/28231511/automated-diagnosis-of-congestive-heart-failure-using-dual-tree-complex-wavelet-transform-and-statistical-features-extracted-from-2s-of-ecg-signals
#3
Vidya K Sudarshan, U Rajendra Acharya, Shu Lih Oh, Muhammad Adam, Jen Hong Tan, Chua Kuang Chua, Kok Poo Chua, Ru San Tan
Identification of alarming features in the electrocardiogram (ECG) signal is extremely significant for the prediction of congestive heart failure (CHF). ECG signal analysis carried out using computer-aided techniques can speed up the diagnosis process and aid in the proper management of CHF patients. Therefore, in this work, dual tree complex wavelets transform (DTCWT)-based methodology is proposed for an automated identification of ECG signals exhibiting CHF from normal. In the experiment, we have performed a DTCWT on ECG segments of 2s duration up to six levels to obtain the coefficients...
February 7, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28230161/robust-high-dimensional-bioinformatics-data-streams-mining-by-odr-iovfdt
#4
Dantong Wang, Simon Fong, Raymond K Wong, Sabah Mohammed, Jinan Fiaidhi, Kelvin K L Wong
Outlier detection in bioinformatics data streaming mining has received significant attention by research communities in recent years. The problems of how to distinguish noise from an exception and deciding whether to discard it or to devise an extra decision path for accommodating it are causing dilemma. In this paper, we propose a novel algorithm called ODR with incrementally Optimized Very Fast Decision Tree (ODR-ioVFDT) for taking care of outliers in the progress of continuous data learning. By using an adaptive interquartile-range based identification method, a tolerance threshold is set...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28227944/classification-of-squat-quality-with-inertial-measurement-units-in-the-single-leg-squat-mobility-test
#5
Rezvan Kianifar, Alex Lee, Sachin Raina, Dana Kulic, Rezvan Kianifar, Alex Lee, Sachin Raina, Dana Kulic, Alex Lee, Sachin Raina, Dana Kulic, Rezvan Kianifar
Many assessment and diagnosis protocols in rehabilitation, orthopedic surgery and sports medicine rely on mobility tests like the Single Leg Squat (SLS). In this study, a set of three Inertial Measurement Units (IMUs) were used to estimate the joint pose during SLS and to classify the SLS as poor, moderate or good. An Extended Kalman Filter pose estimation method was used to estimate kinematic joint variables, and time domain features were generated based on these variables. The most important features were then selected and used to train Support Vector Machine (SVM), Linear Multinomial Logistic Regression, and Decision Tree classifiers...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227617/detection-of-chewing-from-piezoelectric-film-sensor-signals-using-ensemble-classifiers
#6
Muhammad Farooq, Edward Sazonov, Muhammad Farooq, Edward Sazonov, Muhammad Farooq, Edward Sazonov
Selection and use of pattern recognition algorithms is application dependent. In this work, we explored the use of several ensembles of weak classifiers to classify signals captured from a wearable sensor system to detect food intake based on chewing. Three sensor signals (Piezoelectric sensor, accelerometer, and hand to mouth gesture) were collected from 12 subjects in free-living conditions for 24 hrs. Sensor signals were divided into 10 seconds epochs and for each epoch combination of time and frequency domain features were computed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227533/upper-extremity-post-stroke-motion-quality-estimation-with-decision-trees-and-bagging-forests
#7
Sarvenaz Chaeibakhsh, Elissa Phillips, Amanda Buchanan, Eric Wade, Sarvenaz Chaeibakhsh, Elissa Phillips, Amanda Buchanan, Eric Wade, Elissa Phillips, Sarvenaz Chaeibakhsh, Amanda Buchanan, Eric Wade
Stroke is one of the leading causes of long-term disability. Approximately two thirds of stroke survivors require long-term rehabilitation, which suggests the importance of understanding movement quality in real-world settings. To address this need, we have developed an approach that quantifies physical activity and also evaluates performance quality. Accelerometer and gyroscope sensor data are used to measure upper extremity movements and to develop a mathematical framework to relate objective sensor data to clinical performance metrics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227388/learning-to-distinguish-cerebral-vasculature-data-from-mechanical-chatter-in-india-ink-images-acquired-using-knife-edge-scanning-microscopy
#8
Michael R Nowak, Yoonsuck Choe, Michael R Nowak, Yoonsuck Choe, Michael R Nowak, Yoonsuck Choe
We introduce a simple, yet effective, procedure for accurate classification of connected components embedded in biological images. In our method, a training set is generated from user-delineated features of manually-labeled examples; we subsequently train a classifier using the resultant training set. The overall process is described using imaging data acquired from an India-ink perfused C57BL/6J mouse brain using Knife Edge Scanning Microscopy. We illustrate the procedure through segmentation of cerebral vasculature structures from mechanical noise using trained classifiers...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227212/classification-of-large-scale-fundus-image-data-sets-a-cloud-computing-framework
#9
Sohini Roychowdhury, Sohini Roychowdhury, Sohini Roychowdhury
Large medical image data sets with high dimensionality require substantial amount of computation time for data creation and data processing. This paper presents a novel generalized method that finds optimal image-based feature sets that reduce computational time complexity while maximizing overall classification accuracy for detection of diabetic retinopathy (DR). First, region-based and pixel-based features are extracted from fundus images for classification of DR lesions and vessel-like structures. Next, feature ranking strategies are used to distinguish the optimal classification feature sets...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227169/biomarker-discovery-based-on-bbha-and-adaboostm1-on-microarray-data-for-cancer-classification
#10
Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin, Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin, Nizamettin Aydin, Elnaz Pashaei, Mustafa Ozen
In this paper, a new approach based on Binary Black Hole Algorithm (BBHA) and Adaptive Boosting version Ml (AdaboostM1) is proposed for finding genes that can classify the group of cancers correctly. In this approach, BBHA is used to perform gene selection and AdaboostM1 with 10-fold cross validation is adopted as the classifier. Also, to find the relation between the biomarkers for biological point of view, decision tree algorithm (C4.5) is utilized. The proposed approach is tested on three benchmark microarrays...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227051/optimal-decision-support-rules-improve-personalize-warfarin-treatment-outcomes
#11
Chih-Lin Chi, Kourosh Ravvaz, John Weissert, Peter J Tonellato, Chih-Lin Chi, Kourosh Ravvaz, John Weissert, Peter J Tonellato, Chih-Lin Chi, Kourosh Ravvaz, John Weissert, Peter J Tonellato
We tested optimization-based approaches to generate decision support rules used to improve personalized warfarin treatment based on clinical and genetic characteristics. Our approach simulated warfarin treatment outcomes using five existing treatment plans for clinical avatars (virtual patients). We used individual clinical avatar Time-in-Therapeutic-Range to represent the two-sided adverse risk to bleeding (over dosed - above therapeutic range) and thrombosis (under dosed - below therapeutic range) and as the objective function in the optimization to minimize overall risk...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227024/sensor-data-quality-processing-for-vital-signs-with-opportunistic-ambient-sensing
#12
Ibrahim Sadek, Jit Biswas, Zhu Yongwei, Zhang Haihong, Jayachandran Maniyeri, Chen Zhihao, Teo Ju Teng, Ng Soon Huat, Mounir Mokhtari, Ibrahim Sadek, Jit Biswas, Zhu Yongwei, Zhang Haihong, Jayachandran Maniyeri, Chen Zhihao, Teo Ju Teng, Ng Soon Huat, Mounir Mokhtari
Opportunistic ambient sensing involves placement of sensors appropriately so that intermittent contact can be made unobtrusively for gathering physiological signals for vital signs. In this paper, we discuss the results of our quality processing system used to extract heart rate from ballisto-cardiogram signals obtained from a micro-bending fiber optic sensor pressure mat. Visual inspection is used to label data into informative and non-informative classes based on their heart rate information. Five classifiers are employed for the classification process, i...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227009/a-machine-learning-framework-for-auto-classification-of-imaging-system-exams-in-hospital-setting-for-utilization-optimization
#13
Meru A Patil, Ravindra B Patil, P Krishnamoorthy, Jacob John, Meru A Patil, Ravindra B Patil, P Krishnamoorthy, Jacob John, Meru A Patil, Jacob John, Ravindra B Patil, P Krishnamoorthy
In clinical environment, Interventional X-Ray (IXR) system is used on various anatomies and for various types of the procedures. It is important to classify correctly each exam of IXR system into respective procedures and/or assign to correct anatomy. This classification enhances productivity of the system in terms of better scheduling of the Cath lab, also provides means to perform device usage/revenue forecast of the system by hospital management and focus on targeted treatment planning for a disease/anatomy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226978/improving-clinical-models-based-on-knowledge-extracted-from-current-datasets-a-new-approach
#14
D Mendes, S Paredes, T Rocha, P Carvalho, J Henriques, J Morais, D Mendes, S Paredes, T Rocha, P Carvalho, J Henriques, J Morais, D Mendes, T Rocha, P Carvalho, J Morais, S Paredes, J Henriques
The Cardiovascular Diseases (CVD) are the leading cause of death in the world, being prevention recognized to be a key intervention able to contradict this reality. In this context, although there are several models and scores currently used in clinical practice to assess the risk of a new cardiovascular event, they present some limitations. The goal of this paper is to improve the CVD risk prediction taking into account the current models as well as information extracted from real and recent datasets. This approach is based on a decision tree scheme in order to assure the clinical interpretability of the model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226966/measuring-the-quality-of-exercises
#15
Paritosh Parmar, Brendan Tran Morris, Paritosh Parmar, Brendan Tran Morris, Paritosh Parmar, Brendan Tran Morris
This work explores the problem of exercise quality measurement since it is essential for effective management of diseases like cerebral palsy (CP). This work examines the assessment of quality of large amplitude movement (LAM) exercises designed to treat CP in an automated fashion. Exercise data was collected by trained participants to generate ideal examples to use as a positive samples for machine learning. Following that, subjects were asked to deliberately make subtle errors during the exercise, such as restricting movements, as is commonly seen in cases of patients suffering from CP...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226868/hardware-friendly-seizure-detection-with-a-boosted-ensemble-of-shallow-decision-trees
#16
Mahsa Shoaran, Masoud Farivar, Azita Emami, Mahsa Shoaran, Masoud Farivar, Azita Emami, Masoud Farivar, Azita Emami, Mahsa Shoaran
Efficient on-chip learning is becoming an essential element of implantable biomedical devices. Despite a substantial literature on automated seizure detection algorithms, hardware-friendly implementation of such techniques is not sufficiently addressed. In this paper, we propose to employ a gradientboosted ensemble of decision trees to achieve a reasonable trade-off between detection accuracy and implementation cost. Combined with the proposed feature extraction model, we show that these classifiers quickly become competitive with more complex learning models previously proposed for hardware implementation, with only a small number of low-depth (d <; 4) "shallow" trees...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226754/pixel-based-skin-segmentation-in-psoriasis-images
#17
Y George, M Aldeen, R Garnavi, Y George, M Aldeen, R Garnavi, M Aldeen, Y George, R Garnavi
In this paper, we present a detailed comparison study of skin segmentation methods for psoriasis images. Different techniques are modified and then applied to a set of psoriasis images acquired from the Royal Melbourne Hospital, Melbourne, Australia, with aim of finding the best technique suited for application to psoriasis images. We investigate the effect of different colour transformations on skin detection performance. In this respect, explicit skin thresholding is evaluated with three different decision boundaries (CbCr, HS and rgHSV)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226750/artery-and-vein-diameter-ratio-measurement-based-on-improvement-of-arteries-and-veins-segmentation-on-retinal-images
#18
Yuji Hatanaka, Hirokazu Tachiki, Kazunori Ogohara, Chisako Muramatsu, Susumu Okumura, Hiroshi Fujita, Yuji Hatanaka, Hirokazu Tachiki, Kazunori Ogohara, Chisako Muramatsu, Susumu Okumura, Hiroshi Fujita, Hiroshi Fujita, Susumu Okumura, Yuji Hatanaka, Hirokazu Tachiki, Kazunori Ogohara, Chisako Muramatsu
Retinal arteriolar narrowing is decided based on the artery and vein diameter ratio (AVR). Previous methods segmented blood vessels and classified arteries and veins by color pixels in the centerlines of blood vessels. AVR was definitively determined through measurement of artery and vein diameters. However, this approach was not sufficient for cases with close contact between the artery of interest and an imposing vein. Here, an algorithm for AVR measurement via new classification of arteries and veins is proposed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225800/the-risk-of-disabling-surgery-and-reoperation-in-crohn-s-disease-a-decision-tree-based-approach-to-prognosis
#19
Cláudia Camila Dias, Pedro Pereira Rodrigues, Samuel Fernandes, Francisco Portela, Paula Ministro, Diana Martins, Paula Sousa, Paula Lago, Isadora Rosa, Luis Correia, Paula Moura Santos, Fernando Magro
INTRODUCTION: Crohn's disease (CD) is a chronic inflammatory bowel disease known to carry a high risk of disabling and many times requiring surgical interventions. This article describes a decision-tree based approach that defines the CD patients' risk or undergoing disabling events, surgical interventions and reoperations, based on clinical and demographic variables. MATERIALS AND METHODS: This multicentric study involved 1547 CD patients retrospectively enrolled and divided into two cohorts: a derivation one (80%) and a validation one (20%)...
2017: PloS One
https://www.readbyqxmd.com/read/28225651/robotic-surgery-a-solution-in-search-of-a-problem-a-bayesian-analysis-of-343-robotic-procedures-performed-by-a-single-surgical-team
#20
Simona Manciu, Mihnea Dragomir, Fabiana Curea, Catalin Vasilescu
BACKGROUND: Despite the obvious technical advantages, the value of robotic surgery is highly debated and its cost-effectiveness has been questioned. The aim of this article is to provide an evaluation of the outcomes of robotic surgery in comparison to conventional laparoscopy. METHODS: A decision analysis based on the Bayes' theorem and the decision tree was used. The robotic approach was compared with the laparoscopic approach for each of the pathologies discussed in this study...
February 22, 2017: Journal of Laparoendoscopic & Advanced Surgical Techniques. Part A
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