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https://www.readbyqxmd.com/read/27925695/integrated-biomarker-profiling-of-smokers-with-periodontitis
#1
Radhakrishnan Nagarajan, Mohanad Al-Sabbagh, Dolph Dawson, Jeffrey Ebersole
: In the context of precision medicine, understanding patient-specific variation is an important step in developing targeted and patient-tailored treatment regimens for periodontitis. While several studies have successfully demonstrated the usefulness of molecular expression profiling in conjunction with single classifier systems in discerning distinct disease groups, the majority of these studies do not provide sufficient insights into potential variations within the disease groups. AIM: The goal of the present study is to discern biological response profiles of periodontitis and non-periodontitis smoking subjects using an informed panel of biomarkers across multiple scales (salivary, oral microbiome, pathogens and other markers)...
December 7, 2016: Journal of Clinical Periodontology
https://www.readbyqxmd.com/read/27925597/tackling-missing-data-in-community-health-studies-using-additive-ls-svm-classifier
#2
Guanjin Wang, Zhaohong Deng, Kup-Sze Choi
Missing data is a common issue in community health and epidemiological studies. Direct removal of samples with missing data can lead to reduced sample size and information bias, which deteriorates the significance of the results. While data imputation methods are available to deal with missing data, they are limited in performance and could introduce noises into the dataset. Instead of data imputation, a novel method based on additive least square support vector machine (LS-SVM) is proposed in this paper for predictive modeling when the input features of the model contain missing data...
December 1, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/27923525/using-clinical-information-to-make-individualized-prognostic-predictions-in-people-at-ultra-high-risk-for-psychosis
#3
Andrea Mechelli, Ashleigh Lin, Stephen Wood, Patrick McGorry, Paul Amminger, Stefania Tognin, Philip McGuire, Jonathan Young, Barnaby Nelson, Alison Yung
Recent studies have reported an association between psychopathology and subsequent clinical and functional outcomes in people at ultra-high risk (UHR) for psychosis. This has led to the suggestion that psychopathological information could be used to make prognostic predictions in this population. However, because the current literature is based on inferences at group level, the translational value of the findings for everyday clinical practice is unclear. Here we examined whether psychopathological information could be used to make individualized predictions about clinical and functional outcomes in people at UHR...
December 3, 2016: Schizophrenia Research
https://www.readbyqxmd.com/read/27922113/non-small-cell-lung-cancer-quantitative-phenotypic-analysis-of-ct-images-as-a-potential-marker-of-prognosis
#4
Jiangdian Song, Zaiyi Liu, Wenzhao Zhong, Yanqi Huang, Zelan Ma, Di Dong, Changhong Liang, Jie Tian
This was a retrospective study to investigate the predictive and prognostic ability of quantitative computed tomography phenotypic features in patients with non-small cell lung cancer (NSCLC). 661 patients with pathological confirmed as NSCLC were enrolled between 2007 and 2014. 592 phenotypic descriptors was automatically extracted on the pre-therapy CT images. Firstly, support vector machine (SVM) was used to evaluate the predictive value of each feature for pathology and TNM clinical stage. Secondly, Cox proportional hazards model was used to evaluate the prognostic value of these imaging signatures selected by SVM which subjected to a primary cohort of 138 patients, and an external independent validation of 61 patients...
December 6, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27919211/development-of-mlr-and-svm-aided-qsar-models-to-identify-common-sar-of-gaba-uptake-herbal-inhibitors-used-in-the-treatment-of-schizophrenia
#5
Sahila Mohammed Marunnan, Babitha Pallikkara Pulikka, V K Gopalakrishnan, Srinivas Bandaru, Mukesh Yadav, Anuraj Nayarisseri, Victor Arokia Doss
Deficits in GABAnergic system is implicated in the pathophysiology of schizophrenia. Available antipsychotics that target GABA receptor form a desirable therapeutic strategy in the treatment regimen of schizophrenia but, unfortunately, suffers serious setback due to their prolonged side effects. The present investigation focuses on developing QSAR models from the biological activity of herbal compounds and their derivatives that promise to be alternative candidates to GABA uptake inhibitors. Three sets of compounds were undertaken in the study to develop the QSAR models...
December 5, 2016: Current Neuropharmacology
https://www.readbyqxmd.com/read/27916817/real-time-classification-of-patients-with-balance-disorders-vs-normal-subjects-using-a-low-cost-small-wireless-wearable-gait-sensor
#6
Bhargava Teja Nukala, Taro Nakano, Amanda Rodriguez, Jerry Tsay, Jerry Lopez, Tam Q Nguyen, Steven Zupancic, Donald Y C Lie
Gait analysis using wearable wireless sensors can be an economical, convenient and effective way to provide diagnostic and clinical information for various health-related issues. In this work, our custom designed low-cost wireless gait analysis sensor that contains a basic inertial measurement unit (IMU) was used to collect the gait data for four patients diagnosed with balance disorders and additionally three normal subjects, each performing the Dynamic Gait Index (DGI) tests while wearing the custom wireless gait analysis sensor (WGAS)...
November 29, 2016: Biosensors
https://www.readbyqxmd.com/read/27913395/metabolomic-characterization-of-hepatocellular-carcinoma-in-patients-with-liver-cirrhosis-for-biomarker-discovery
#7
Cristina Di Poto, Alessia Ferrarini, Yi Zhao, Rency S Varghese, Chao Tu, Yiming Zuo, Minkun Wang, Mohammad R Nezami Ranjbar, Yue Luo, Chi Zhang, Chirag S Desai, Kirti Shetty, Mahlet G Tadesse, Habtom W Ressom
BACKGROUND: Metabolomics plays an important role in providing insight into the etiology and mechanisms of hepatocellular carcinoma (HCC). This is accomplished by a comprehensive analysis of patterns involved in metabolic alterations in human specimens. This study compares the levels of plasma metabolites in HCC cases versus cirrhotic patients and evaluates the ability of candidate metabolites in distinguishing the two groups. Also, it investigates the combined use of metabolites and clinical covariates for detection of HCC in patients with liver cirrhosis...
December 2, 2016: Cancer Epidemiology, Biomarkers & Prevention
https://www.readbyqxmd.com/read/27913367/a-new-method-for-self-estimation-of-the-severity-of-obstructive-sleep-apnea-using-easily-available-measurements-and-neural-fuzzy-evaluation-system
#8
Ming-Feng Wu, Wei-Chang Huang, Chia-Feng Juang, Kai-Ming Chang, Chih-Yu Wen, Yu-Hsuan Chen, Ching-Yi Lin, Yi-Chan Chen, Ching-Cheng Lin
This paper proposes a neural fuzzy evaluation system (NFES) with significant variables selected from stepwise regression to predict apnea-hypopnea index (AHI) for evaluating obstructive sleep apnea (OSA). The variables considered are the change statuses of blood pressure (BP) before going to sleep and early in the morning as well as other five easily available measurements (age, body mass index (BMI) etc.) so that users can use the system for self-evaluation of OSA. A total of 150 subjects are reviewed retrospectively and categorized as training (120 subjects) and validation (30 subjects) sets by a five-fold cross validation scheme with stratified sampling based on the OSA severity...
December 1, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/27913322/automatic-detection-and-classification-of-high-frequency-oscillations-in-depth-eeg-signals
#9
Nisrine Jrad, Amar Kachenoura, Isabelle Merlet, Fabrice Bartolomei, Anca Nica, Arnaud Biraben, Fabrice Wendling
GOAL: Interictal High Frequency Oscillations (HFOs [30-600 Hz]) have proven to be relevant biomarkers in epilepsy. In this paper, four categories of HFOs are considered: Gamma ([30- 80 Hz]), High-Gamma ([80-120 Hz]), Ripples ([120-250 Hz]) and Fast-Ripples ([250-600 Hz]). A universal detector of the four types of HFOs is proposed. It has the advantages of i) classifying HFOs, and thus being robust to inter- and intra-subject variability; ii) rejecting artefacts, thus being specific. METHODS: Gabor atoms are tuned to cover the physiological bands...
November 29, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/27910886/sequential-information-in-a-great-ape-utterance
#10
Pawel Fedurek, Klaus Zuberb├╝hler, Christoph D Dahl
Birdsong is a prime example of acoustically sophisticated vocal behaviour, but its complexity has evolved mainly through sexual selection to attract mates and repel sexual rivals. In contrast, non-human primate calls often mediate complex social interactions, but are generally regarded as acoustically simple. Here, we examine arguably the most complex call in great ape vocal communication, the chimpanzee (Pan troglodytes schweinfurthii) 'pant hoot'. This signal consists of four acoustically distinct phases: introduction, build-up, climax and let-down...
December 2, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27908249/automated-system-for-referral-of-cotton-wool-spots
#11
Syed Ali Gohar Naqvi, Hafiz Muhammad Faisal Zafar, Ihsan Ul Haq
BACKGROUND: Cotton-wool spots also referred as soft exudates are the early sign of complications in the eye fundus of the patients suffering from diabetic retinopathy. Early detection of exudates helps in diagnosis of the disease and provides better medical attention. METHODS: In the paper an automated system for detection of soft exudates has been suggested. The system has been developed by the combination of different techniques like scale invariant feature transform (SIFT), Visual Dictionaries, K-means clustering and support vector machine (SVM)...
December 1, 2016: Current Diabetes Reviews
https://www.readbyqxmd.com/read/27904990/computer-modeling-in-predicting-the-bioactivity-of-human-5-lipoxygenase-inhibitors
#12
Mengdi Zhang, Zhonghua Xia, Aixia Yan
5-Lipoxygenase (5-LOX) is a key enzyme in the inflammatory path. Inhibitors of 5-LOX are useful for the treatment of diseases like arthritis, cancer, and asthma. We have collected a dataset including 220 human 5-LOX inhibitors for classification. A self-organizing map (SOM), a support vector machine (SVM), and a multilayer perceptron (MLP) algorithm were used to build models with selected descriptors for classifying 5-LOX inhibitors into active and weakly active ones. MACCS fingerprints were used in this model building process...
November 30, 2016: Molecular Diversity
https://www.readbyqxmd.com/read/27899584/cath-an-expanded-resource-to-predict-protein-function-through-structure-and-sequence
#13
Natalie L Dawson, Tony E Lewis, Sayoni Das, Jonathan G Lees, David Lee, Paul Ashford, Christine A Orengo, Ian Sillitoe
The latest version of the CATH-Gene3D protein structure classification database has recently been released (version 4.1, http://www.cathdb.info). The resource comprises over 300 000 domain structures and over 53 million protein domains classified into 2737 homologous superfamilies, doubling the number of predicted protein domains in the previous version. The daily-updated CATH-B, which contains our very latest domain assignment data, provides putative classifications for over 100 000 additional protein domains...
November 28, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27898691/a-personalized-electronic-movie-recommendation-system-based-on-support-vector-machine-and-improved-particle-swarm-optimization
#14
Xibin Wang, Fengji Luo, Ying Qian, Gianluca Ranzi
With the rapid development of ICT and Web technologies, a large an amount of information is becoming available and this is producing, in some instances, a condition of information overload. Under these conditions, it is difficult for a person to locate and access useful information for making decisions. To address this problem, there are information filtering systems, such as the personalized recommendation system (PRS) considered in this paper, that assist a person in identifying possible products or services of interest based on his/her preferences...
2016: PloS One
https://www.readbyqxmd.com/read/27897236/recognition-of-mould-colony-on-unhulled-paddy-based-on-computer-vision-using-conventional-machine-learning-and-deep-learning-techniques
#15
Ke Sun, Zhengjie Wang, Kang Tu, Shaojin Wang, Leiqing Pan
To investigate the potential of conventional and deep learning techniques to recognize the species and distribution of mould in unhulled paddy, samples were inoculated and cultivated with five species of mould, and sample images were captured. The mould recognition methods were built using support vector machine (SVM), back-propagation neural network (BPNN), convolutional neural network (CNN), and deep belief network (DBN) models. An accuracy rate of 100% was achieved by using the DBN model to identify the mould species in the sample images based on selected colour-histogram parameters, followed by the SVM and BPNN models...
November 29, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27893380/area-determination-of-diabetic-foot-ulcer-images-using-a-cascaded-two-stage-svm-based-classification
#16
Lei Wang, Peder Pedersen, Emmanuel Agu, Diane Strong, Bengisu Tulu
It is standard practice for clinicians and nurses to primarily assess patients' wounds via visual examination. This subjective method can be inaccurate in wound assessment and also represents a significant clinical workload. Hence, computer-based systems, especially implemented on mobile devices, can provide automatic, quantitative wound assessment and can thus be valuable for accurately monitoring wound healing status. Out of all wound assessment parameters, the measurement of the wound area is the most suitable for automated analysis...
November 23, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/27891256/scale-dependent-signal-identification-in-low-dimensional-subspace-motor-imagery-task-classification
#17
Qingshan She, Haitao Gan, Yuliang Ma, Zhizeng Luo, Tom Potter, Yingchun Zhang
Motor imagery electroencephalography (EEG) has been successfully used in locomotor rehabilitation programs. While the noise-assisted multivariate empirical mode decomposition (NA-MEMD) algorithm has been utilized to extract task-specific frequency bands from all channels in the same scale as the intrinsic mode functions (IMFs), identifying and extracting the specific IMFs that contain significant information remain difficult. In this paper, a novel method has been developed to identify the information-bearing components in a low-dimensional subspace without prior knowledge...
2016: Neural Plasticity
https://www.readbyqxmd.com/read/27891045/reinforced-angle-based-multicategory-support-vector-machines
#18
Chong Zhang, Yufeng Liu, Junhui Wang, Hongtu Zhu
The Support Vector Machine (SVM) is a very popular classification tool with many successful applications. It was originally designed for binary problems with desirable theoretical properties. Although there exist various Multicategory SVM (MSVM) extensions in the literature, some challenges remain. In particular, most existing MSVMs make use of k classification functions for a k-class problem, and the corresponding optimization problems are typically handled by existing quadratic programming solvers. In this paper, we propose a new group of MSVMs, namely the Reinforced Angle-based MSVMs (RAMSVMs), using an angle-based prediction rule with k - 1 functions directly...
2016: Journal of Computational and Graphical Statistics
https://www.readbyqxmd.com/read/27887571/lbsizecleav-improved-support-vector-machine-svm-based-prediction-of-dicer-cleavage-sites-using-loop-bulge-length
#19
Yu Bao, Morihiro Hayashida, Tatsuya Akutsu
BACKGROUND: Dicer is necessary for the process of mature microRNA (miRNA) formation because the Dicer enzyme cleaves pre-miRNA correctly to generate miRNA with correct seed regions. Nonetheless, the mechanism underlying the selection of a Dicer cleavage site is still not fully understood. To date, several studies have been conducted to solve this problem, for example, a recent discovery indicates that the loop/bulge structure plays a central role in the selection of Dicer cleavage sites...
November 25, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/27886710/automated-diagnosis-of-coronary-artery-disease-cad-patients-using-optimized-svm
#20
Azam Davari Dolatabadi, Siamak Esmael Zadeh Khadem, Babak Mohammadzadeh Asl
BACKGROUND AND OBJECTIVE: Currently Coronary Artery Disease (CAD) is one of the most prevalent diseases, and also can lead to death, disability and economic loss in patients who suffer from cardiovascular disease. Diagnostic procedures of this disease by medical teams are typically invasive, although they do not satisfy the required accuracy. METHODS: In this study, we have proposed a methodology for the automatic diagnosis of normal and Coronary Artery Disease conditions using Heart Rate Variability (HRV) signal extracted from electrocardiogram (ECG)...
January 2017: Computer Methods and Programs in Biomedicine
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