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https://www.readbyqxmd.com/read/29793128/convolutional-neural-networks-for-seizure-prediction-using-intracranial-and-scalp-electroencephalogram
#1
Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Samuel Ippolito, Omid Kavehei
Seizure prediction has attracted growing attention as one of the most challenging predictive data analysis efforts to improve the life of patients with drug-resistant epilepsy and tonic seizures. Many outstanding studies have reported great results in providing sensible indirect (warning systems) or direct (interactive neural stimulation) control over refractory seizures, some of which achieved high performance. However, to achieve high sensitivity and a low false prediction rate, many of these studies relied on handcraft feature extraction and/or tailored feature extraction, which is performed for each patient independently...
May 7, 2018: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29793072/leveraging-semantic-labels-for-multi-level-abstraction-in-medical-process-mining-and-trace-comparison
#2
Giorgio Leonardi, Manuel Striani, Silvana Quaglini, Anna Cavallini, Stefania Montani
Many medical information systems record data about the executed process instances in the form of an event log. In this paper, we present a framework, able to convert actions in the event log into higher level concepts, at different levels of abstraction, on the basis of domain knowledge. Abstracted traces are then provided as an input to trace comparison and semantic process discovery. Our abstraction mechanism is able to manage non trivial situations, such as interleaved actions or delays between two actions that abstract to the same concept...
May 21, 2018: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/29793070/intradialytic-blood-pressure-pattern-recognition-based-on-density-peak-clustering
#3
Feng Wang, Jing-Yi Zhou, Yu Tian, Yu Wang, Ping Zhang, Jiang-Hua Chen, Jing-Song Li
End-stage renal disease (ESRD) is the final stage of chronic kidney disease (CKD) and requires hemodialysis (HD) for survival. Intradialytic blood pressure (IBP) measurements are necessary to ensure patient safety during HD treatments and have critical clinical and prognostic significance. Studies on IBP measurements, especially IBP patterns, are limited. All related studies have been based on a priori knowledge and artificially classified IBP patterns. Therefore, the results were influenced by subjective concepts...
May 21, 2018: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/29792729/90-kvp-low-tube-voltage-ct-pulmonary-angiography-in-combination-with-advanced-modelled-iterative-reconstruction-algorithm-effects-on-radiation-dose-image-quality-and-diagnostic-accuracy-for-the-detection-of-pulmonary-embolism
#4
Doris Leithner, Tatjana Gruber-Rouh, Martin Beeres, Julian L Wichmann, Scherwin Mahmoudi, Simon S Martin, Lukas Lenga, Moritz H Albrecht, Christian Booz, Thomas J Vogl, Jan-Erik Scholtz
OBJECTIVE: To evaluate low-tube-voltage 90-kVp computed tomography pulmonary angiography (CTPA) with advanced modelled iterative reconstruction algorithm (Admire) compared to 120-kVp equivalent dual-energy acquisition with regards to radiation exposure, image quality, and diagnostic accuracy for pulmonary embolism (PE) assessment. METHODS: CTPA studies of 40 patients with suspected PE (56.7 ± 16.3 years) performed on a third-generation 192-slice dual-source CT scanner were retrospectively included...
May 24, 2018: British Journal of Radiology
https://www.readbyqxmd.com/read/29792677/ultra-low-power-smart-electronic-nose-system-based-on-three-dimensional-tin-oxide-nanotube-arrays
#5
Jiaqi Chen, Zhuo Chen, Farid Boussaid, Daquan Zhang, Xiaofang Pan, Huijuan Zhao, Amine Bermak, Chi-Ying Tsui, Xinran Wang, Zhiyong Fan
In this work, we present a high performance smart electronic nose (E-nose) system consisting of multiplexed tin dioxide (SnO2) nanotube sensor array, read-out circuit, wireless data transmission unit, mobile phone receiver and data processing application (App). Using the proposed nanotube sensor device structure in conjunction with multiple electrode materials, high sensitivity gas detection and discrimination have been achieved at room temperature, enabling a 1,000 times reduction of sensor's power consumption as compared to a conventional device using thin film SnO2...
May 24, 2018: ACS Nano
https://www.readbyqxmd.com/read/29792576/using-a-deep-learning-network-to-recognize-low-back-pain-in-static-standing
#6
Boyi Hu, Chong Kim, Xiaopeng Ning, Xu Xu
Low back pain remains one of the most prevalent musculoskeletal disorders, while algorithms that able to recognize low back pain patients from healthy population using balance performance data are rarely seen. In this study, human balance and body sway performance during standing trials were utilized to recognize chronic low back pain populations using deep neural networks. To be specific, forty-four chronic LBP and healthy individuals performed static standing tasks while their spine kinematics and center of pressure were recorded...
May 24, 2018: Ergonomics
https://www.readbyqxmd.com/read/29792570/a-model-for-predicting-the-risk-of-musculoskeletal-disorders-among-computer-professionals
#7
Vishnu Sasikumar, Second Champakkadayil Abdul Basheer Binoosh
OBJECTIVE: The objective of this study was to develop a model for predicting the risk of musculoskeletal disorders among computer professionals. MATERIALS AND METHODS: A preliminary study with a modified Nordic musculoskeletal questionnaire was conducted to identify the risk in different body parts of the professionals during their work. A discrete postural evaluation of the dynamic postures involved in the work was assessed using rapid upper limb assessment. The postural, physiological and work-related factors were considered as the attributes of the model...
May 24, 2018: International Journal of Occupational Safety and Ergonomics: JOSE
https://www.readbyqxmd.com/read/29792537/recognizing-quantifying-and-managing-patient-ventilator-asynchrony-in-invasive-and-noninvasive-ventilation
#8
Eugenio Garofalo, Andrea Bruni, Corrado Pelaia, Luisa Liparota, Nicola Lombardo, Federico Longhini, Paolo Navalesi
Patient-ventilator asynchrony may occur with modes of partial ventilatory support. Because this problem is associated with worsened outcomes, identifying and managing asynchronies has been recognized as a relevant clinical problem during both invasive and non-invasive (NIV) mechanical ventilation. Areas covered: In this review article, we first describe the different forms of patient-ventilator asynchrony and how they are classified and quantified. Then, we show how these asynchronies can be recognized, considering the techniques used to properly detect asynchronies, by either ventilator waveform observation, or through systems based on more complexes mathematical algorithms, by means of adjunctive signals, such as the electrical activity of the diaphragm or esophageal pressure...
May 24, 2018: Expert Review of Respiratory Medicine
https://www.readbyqxmd.com/read/29792524/managing-comorbid-cardiovascular-disease-and-sleep-apnea-with-pharmacotherapy
#9
Jacek Wolf, Krzysztof Narkiewicz
Highly prevalent sleep disordered breathing (SDB) has been recognized as an independent cardiovascular disease (CVD) risk factor. Although these two entities often coexist, there is a shortage of sufficiently-powered studies testing the interplay between the course of sleep apnea and CVD pharmacotherapy. The mutual relationship between treated/untreated obstructive sleep apnea (OSA) with ongoing cardiovascular pharmacotherapies is an evident gap in clinical expertise. Areas covered: In this article, the authors review the available evidence and outline future research directions concerning the reciprocal relationship between the pharmacological treatment of CVD and SDB...
May 24, 2018: Expert Opinion on Pharmacotherapy
https://www.readbyqxmd.com/read/29792514/a-flow-procedure-for-linearization-of-genome-sequence-graphs
#10
David Haussler, Maciej Smuga-Otto, Jordan M Eizenga, Benedict Paten, Adam M Novak, Sergei Nikitin, Maria Zueva, Dmitrii Miagkov
Efforts to incorporate human genetic variation into the reference human genome have converged on the idea of a graph representation of genetic variation within a species, a genome sequence graph. A sequence graph represents a set of individual haploid reference genomes as paths in a single graph. When that set of reference genomes is sufficiently diverse, the sequence graph implicitly contains all frequent human genetic variations, including translocations, inversions, deletions, and insertions. In representing a set of genomes as a sequence graph, one encounters certain challenges...
May 24, 2018: Journal of Computational Biology: a Journal of Computational Molecular Cell Biology
https://www.readbyqxmd.com/read/29792512/use-of-t2mr-in-invasive-candidiasis-with-and-without-candidemia
#11
Ioannis M Zacharioudakis, Fainareti N Zervou, Eleftherios Mylonakis
The mortality associated with invasive candidiasis remains unacceptably high. The T2 magnetic resonance (T2MR) assay is a novel US FDA-approved molecular diagnostic assay for the diagnosis of candidemia that can rapidly detect the five most commonly isolated Candida spp. In clinical trials, T2MR has exhibited good clinical sensitivity and specificity. Potential benefits from the adoption of T2MR technology in the diagnostic and therapeutic algorithms for invasive candidiasis can arise from timely diagnosis of disease, increased case detection, tailored therapy and decrease in empiric antifungal treatment...
May 24, 2018: Future Microbiology
https://www.readbyqxmd.com/read/29792505/a-new-test-for-the-assessment-of-working-memory-in-clinical-settings-validation-and-norming-of-a-month-ordering-task
#12
Imke Buekenhout, José Leitão, Ana A Gomes
Month ordering tasks have been used in experimental settings to obtain measures of working memory (WM) capacity in older/clinical groups based solely on their face validity. We sought to assess the appropriateness of using a month ordering task in other contexts, including clinical settings, as a psychometrically sound WM assessment. To this end, we constructed a month ordering task (ucMOT), studied its reliability (internal consistency and temporal stability), and gathered construct-related and criterion-related validity evidence for its use as a WM assessment...
May 24, 2018: Psychological Assessment
https://www.readbyqxmd.com/read/29792312/identification-of-patients-with-hemoglobin-ss-s%C3%AE-0-thalassemia-disease-and-pain-crises-within-electronic-health-records
#13
Ashima Singh, Javier Mora, Julie A Panepinto
Electronic health records (EHRs) are a source of big data that provide opportunities for conducting population-based studies and creating learning health systems, especially for rare conditions such as sickle cell disease (SCD). The objective of our study is to validate algorithms for accurate identification of patients with hemoglobin (Hb) SS/Sβ0 thalassemia and acute care encounters for pain among SCD patients within EHR warehouse. We used data for children receiving care at Children's Hospital of Wisconsin from 2013 to 2016 to test the accuracy of the 2 algorithms...
June 12, 2018: Blood Advances
https://www.readbyqxmd.com/read/29792299/a-simple-evidence-based-approach-to-help-guide-diagnosis-of-heart-failure-with-preserved-ejection-fraction
#14
Yogesh N V Reddy, Rickey E Carter, Masaru Obokata, Margaret M Redfield, Barry A Borlaug
Background -Diagnosis of heart failure with preserved ejection fraction (HFpEF) is challenging in euvolemic patients with dyspnea, and no evidence-based criteria are available. We sought to develop and then validate non-invasive diagnostic criteria that could be used to estimate the likelihood that HFpEF is present among patients with unexplained dyspnea in order to guide further testing. Methods -Consecutive patients with unexplained dyspnea referred for invasive hemodynamic exercise testing were retrospectively evaluated...
May 23, 2018: Circulation
https://www.readbyqxmd.com/read/29792227/integrated-time-course-omics-analysis-distinguishes-immediate-therapeutic-response-from-acquired-resistance
#15
Genevieve Stein-O'Brien, Luciane T Kagohara, Sijia Li, Manjusha Thakar, Ruchira Ranaweera, Hiroyuki Ozawa, Haixia Cheng, Michael Considine, Sandra Schmitz, Alexander V Favorov, Ludmila V Danilova, Joseph A Califano, Evgeny Izumchenko, Daria A Gaykalova, Christine H Chung, Elana J Fertig
BACKGROUND: Targeted therapies specifically act by blocking the activity of proteins that are encoded by genes critical for tumorigenesis. However, most cancers acquire resistance and long-term disease remission is rarely observed. Understanding the time course of molecular changes responsible for the development of acquired resistance could enable optimization of patients' treatment options. Clinically, acquired therapeutic resistance can only be studied at a single time point in resistant tumors...
May 23, 2018: Genome Medicine
https://www.readbyqxmd.com/read/29792182/boostme-accurately-predicts-dna-methylation-values-in-whole-genome-bisulfite-sequencing-of-multiple-human-tissues
#16
Luli S Zou, Michael R Erdos, D Leland Taylor, Peter S Chines, Arushi Varshney, Stephen C J Parker, Francis S Collins, John P Didion
BACKGROUND: Bisulfite sequencing is widely employed to study the role of DNA methylation in disease; however, the data suffer from biases due to coverage depth variability. Imputation of methylation values at low-coverage sites may mitigate these biases while also identifying important genomic features associated with predictive power. RESULTS: Here we describe BoostMe, a method for imputing low-quality DNA methylation estimates within whole-genome bisulfite sequencing (WGBS) data...
May 23, 2018: BMC Genomics
https://www.readbyqxmd.com/read/29792067/application-of-machine-learning-to-predict-dietary-lapses-during-weight-loss
#17
Stephanie P Goldstein, Fengqing Zhang, John G Thomas, Meghan L Butryn, James D Herbert, Evan M Forman
BACKGROUND: Individuals who adhere to dietary guidelines provided during weight loss interventions tend to be more successful with weight control. Any deviation from dietary guidelines can be referred to as a "lapse." There is a growing body of research showing that lapses are predictable using a variety of physiological, environmental, and psychological indicators. With recent technological advancements, it may be possible to assess these triggers and predict dietary lapses in real time...
May 1, 2018: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/29791984/-the-management-of-common-bile-duct-stones
#18
REVIEW
Chang Hwan Park
Common bile duct (CBD) stone is a relatively frequent disorder with a prevalence of 10-20% in patients with gallstones. This is also associated with serious complications, including obstructive jaundice, acute suppurative cholangitis, and acute pancreatitis. Early diagnosis and prompt treatment is the most important for managing CBD stones. According to a recent meta-analysis, endoscopic ultrasonography and magnetic resonance cholangiopancreatography have high sensitivity, specificity, and accuracy for the diagnosis of CBD stones...
May 25, 2018: Korean Journal of Gastroenterology, Taehan Sohwagi Hakhoe Chi
https://www.readbyqxmd.com/read/29791890/a-robust-and-non-invertible-fingerprint-template-for-fingerprint-matching-system
#19
Amit Kumar Trivedi, Dalton Meitei Thounaojam, Shyamosree Pal
Fingerprint Recognition System is widely deployed in variety of application domain, ranging from forensic to mobile phones. Its widespread deployment in various applications were person authentication are required, has caused concern that a leaked fingerprint template may be used to reconstruct the original fingerprint and the reconstructed fingerprint can be used to circumvent all the applications the person is enrolled. In this paper, a non-invertible fingerprint template that stores only the relative geometric information about the minutiae points is proposed...
May 20, 2018: Forensic Science International
https://www.readbyqxmd.com/read/29791871/network-based-disease-module-discovery-by-a-novel-seed-connector-algorithm-with-pathobiological-implications
#20
Rui-Sheng Wang, Joseph Loscalzo
Understanding the genetic basis of complex diseases is challenging. Prior work shows that disease-related proteins do not typically function in isolation. Rather, they often interact with each other to form a network module that underlies dysfunctional mechanistic pathways. Identifying such disease modules will provide insights into a systems-level understanding of molecular mechanisms of diseases. Owing to the incompleteness of our knowledge of disease proteins and limited information on the biological mediators of pathobiological processes, the key proteins (seed proteins) for many diseases appear scattered over the human protein-protein interactome and form a few small branches, rather than coherent network modules...
May 20, 2018: Journal of Molecular Biology
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