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https://www.readbyqxmd.com/read/29333328/learning-tree-structured-detection-cascades-for-heterogeneous-networks-of-embedded-devices
#1
Hamid Dadkhahi, Benjamin M Marlin
In this paper, we present a new approach to learning cascaded classifiers for use in computing environments that involve networks of heterogeneous and resource-constrained, low-power embedded compute and sensing nodes. We present a generalization of the classical linear detection cascade to the case of tree-structured cascades where different branches of the tree execute on different physical compute nodes in the network. Different nodes have access to different features, as well as access to potentially different computation and energy resources...
August 2017: KDD: Proceedings
https://www.readbyqxmd.com/read/29331250/inferred-joint-multigram-models-for-medical-term-normalization-according-to-icd
#2
Alicia Pérez, Aitziber Atutxa, Arantza Casillas, Koldo Gojenola, Álvaro Sellart
BACKGROUND: Electronic Health Records (EHRs) are written using spontaneous natural language. Often, terms do not match standard terminology like the one available through the International Classification of Diseases (ICD). OBJECTIVE: Information retrieval and exchange can be improved using standard terminology. Our aim is to render diagnostic terms written in spontaneous language in EHRs into the standard framework provided by the ICD. METHODS: We tackle diagnostic term normalization employing Weighted Finite-State Transducers (WFSTs)...
February 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29331170/implementation-lessons-learned-from-the-benefits-of-enhanced-terminal-room-betr-disinfection-study-process-and-perceptions-of-enhanced-disinfection-with-ultraviolet-disinfection-devices
#3
Deverick J Anderson, Lauren P Knelson, Rebekah W Moehring, Sarah S Lewis, David J Weber, Luke F Chen, Patricia F Triplett, Michael Blocker, R Marty Cooney, J Conrad Schwab, Yuliya Lokhnygina, William A Rutala, Daniel J Sexton
OBJECTIVE To summarize and discuss logistic and administrative challenges we encountered during the Benefits of Enhanced Terminal Room (BETR) Disinfection Study and lessons learned that are pertinent to future utilization of ultraviolet (UV) disinfection devices in other hospitals DESIGN Multicenter cluster randomized trial SETTING AND PARTICIPANTS Nine hospitals in the southeastern United States METHODS All participating hospitals developed systems to implement 4 different strategies for terminal room disinfection...
January 14, 2018: Infection Control and Hospital Epidemiology
https://www.readbyqxmd.com/read/29330835/international-guidelines-for-groin-hernia-management
#4
(no author information available yet)
INTRODUCTION: Worldwide, more than 20 million patients undergo groin hernia repair annually. The many different approaches, treatment indications and a significant array of techniques for groin hernia repair warrant guidelines to standardize care, minimize complications, and improve results. The main goal of these guidelines is to improve patient outcomes, specifically to decrease recurrence rates and reduce chronic pain, the most frequent problems following groin hernia repair. They have been endorsed by all five continental hernia societies, the International Endo Hernia Society and the European Association for Endoscopic Surgery...
January 12, 2018: Hernia: the Journal of Hernias and Abdominal Wall Surgery
https://www.readbyqxmd.com/read/29329435/expanding-a-radiology-lexicon-using-contextual-patterns-in-radiology-reports
#5
Bethany Percha, Yuhao Zhang, Selen Bozkurt, Daniel Rubin, Russ B Altman, Curtis P Langlotz
Objective: Distributional semantics algorithms, which learn vector space representations of words and phrases from large corpora, identify related terms based on contextual usage patterns. We hypothesize that distributional semantics can speed up lexicon expansion in a clinical domain, radiology, by unearthing synonyms from the corpus. Materials and Methods: We apply word2vec, a distributional semantics software package, to the text of radiology notes to identify synonyms for RadLex, a structured lexicon of radiology terms...
January 10, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29329240/effective-data-driven-calibration-for-a-galvanometric-laser-scanning-system-using-binocular-stereo-vision
#6
Junchao Tu, Liyan Zhang
A new solution to the problem of galvanometric laser scanning (GLS) system calibration is presented. Under the machine learning framework, we build a single-hidden layer feedforward neural network (SLFN)to represent the GLS system, which takes the digital control signal at the drives of the GLS system as input and the space vector of the corresponding outgoing laser beam as output. The training data set is obtained with the aid of a moving mechanism and a binocular stereo system. The parameters of the SLFN are efficiently solved in a closed form by using extreme learning machine (ELM)...
January 12, 2018: Sensors
https://www.readbyqxmd.com/read/29328623/mimicking-biological-synaptic-functionality-with-an-indium-phosphide-synaptic-device-on-silicon-for-scalable-neuromorphic-computing
#7
Debarghya Sarkar, Jun Tao, Wei Wang, Qingfeng Lin, Matthew Yeung, Chenhao Ren, Rehan Kapadia
Neuromorphic or "brain-like" computation is a leading candidate for efficient, fault-tolerant processing of large-scale data, as well as real-time sensing and transduction of complex multivariate systems and networks such as self-driving vehicles or Internet of Things applications. In biology, the synapse serves as an active memory unit in the neural system, and is the component responsible for learning and memory. Electronically emulating this element via a compact, scalable technology which can be integrated in a 3-D architecture is critical for future implementations of neuromorphic processors...
January 12, 2018: ACS Nano
https://www.readbyqxmd.com/read/29327813/computational-tools-for-the-identification-and-interpretation-of-sequence-motifs-in-immunopeptidomes
#8
REVIEW
Bruno Alvarez, Carolina Barra, Morten Nielsen, Massimo Andreatta
Recent advances in proteomics and mass-spectrometry have widely expanded the detectable peptide repertoire presented by major histocompatibility complex (MHC) molecules on the cell surface, collectively known as the immunopeptidome. Finely characterizing the immunopeptidome brings about important basic insights into the mechanisms of antigen presentation, but can also reveal promising targets for vaccine development and cancer immunotherapy. In this report, we describe a number of practical and efficient approaches to analyze immunopeptidomics data, discussing the identification of meaningful sequence motifs in various scenarios and considering current limitations...
January 12, 2018: Proteomics
https://www.readbyqxmd.com/read/29325777/data-driven-model-reference-control-of-mimo-vertical-tank-systems-with-model-free-vrft-and-q-learning
#9
Mircea-Bogdan Radac, Radu-Emil Precup, Raul-Cristian Roman
This paper proposes a combined Virtual Reference Feedback Tuning-Q-learning model-free control approach, which tunes nonlinear static state feedback controllers to achieve output model reference tracking in an optimal control framework. The novel iterative Batch Fitted Q-learning strategy uses two neural networks to represent the value function (critic) and the controller (actor), and it is referred to as a mixed Virtual Reference Feedback Tuning-Batch Fitted Q-learning approach. Learning convergence of the Q-learning schemes generally depends, among other settings, on the efficient exploration of the state-action space...
January 8, 2018: ISA Transactions
https://www.readbyqxmd.com/read/29325527/single-center-experience-with-laparoscopic-adrenalectomy-on-a-large-clinical-series
#10
Giovanni Conzo, Claudio Gambardella, Giancarlo Candela, Alessandro Sanguinetti, Andrea Polistena, Guglielmo Clarizia, Renato Patrone, Francesco Di Capua, Chiara Offi, Mario Musella, Sergio Iorio, Giseppe Bellastella, Daniela Pasquali, Annamaria De Bellis, Antonio Sinisi, Nicola Avenia
BACKGROUND: Laparoscopic adrenalectomy is considered the gold standard technique for the treatment of benign small and medium size adrenal masses (<6 cm), due to low morbidity rate, short hospitalization and patient rapid recovery. The aim of our study is to analyse the feasibility and efficiency of this surgical approach in a broad spectrum of adrenal gland pathologies. METHODS: Pre-operative, intra-operative and post-operative data from 126 patients undergone laparoscopic adrenalectomy between January 2003 and December 2015 were retrospectively collected and reviewed...
January 11, 2018: BMC Surgery
https://www.readbyqxmd.com/read/29324811/scale-up-of-kenya-s-national-hiv-viral-load-program-findings-and-lessons-learned
#11
Matilu Mwau, Catherine Akinyi Syeunda, Maureen Adhiambo, Priska Bwana, Lucy Kithinji, Joy Mwende, Laura Oyiengo, Martin Sirengo, Caroline E Boeke
OBJECTIVES: Kenya is one of the first African countries to scale up a national HIV viral load monitoring program. We sought to assess program scale up using the national database and identify areas for systems strengthening. METHODS: Data from January 2012 to March 2016 were extracted from Kenya's national viral load database. Characteristics of 1,108,356 tests were assessed over time, including reason for testing, turnaround times, test results, treatment regimens, and socio-demographic information...
2018: PloS One
https://www.readbyqxmd.com/read/29324416/unsupervised-deep-hashing-with-pseudo-labels-for-scalable-image-retrieval
#12
Haofeng Zhang, Li Liu, Yang Long, Ling Shao
In order to achieve efficient similarity searching, hash functions are designed to encode images into low-dimensional binary codes with the constraint that similar features will have a short distance in the projected Hamming space. Recently, deep learning-based methods have become more popular, and outperform traditional non-deep methods. However, without label information, most state-of-the-art unsupervised deep hashing (DH) algorithms suffer from severe performance degradation for unsupervised scenarios. One of the main reasons is that the ad-hoc encoding process cannot properly capture the visual feature distribution...
April 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29321535/multi-label-deep-learning-for-gene-function-annotation-in-cancer-pathways
#13
Renchu Guan, Xu Wang, Mary Qu Yang, Yu Zhang, Fengfeng Zhou, Chen Yang, Yanchun Liang
The war on cancer is progressing globally but slowly as researchers around the world continue to seek and discover more innovative and effective ways of curing this catastrophic disease. Organizing biological information, representing it, and making it accessible, or biocuration, is an important aspect of biomedical research and discovery. However, because maintaining sophisticated biocuration is highly resource dependent, it continues to lag behind the continually being generated biomedical data. Another critical aspect of cancer research, pathway analysis, has proven to be an efficient method for gaining insight into the underlying biology associated with cancer...
January 10, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29321053/data-sharing-in-clinical-trials-practical-guidance-on-anonymising-trial-datasets
#14
Catriona Keerie, Christopher Tuck, Garry Milne, Sandra Eldridge, Neil Wright, Steff C Lewis
BACKGROUND: There is an increasing demand by non-commercial funders that trialists should provide access to trial data once the primary analysis is completed. This has to take into account concerns about identifying individual trial participants, and the legal and regulatory requirements. METHODS: Using the good practice guideline laid out by the work funded by the Medical Research Council Hubs for Trials Methodology Research (MRC HTMR), we anonymised a dataset from a recently completed trial...
January 10, 2018: Trials
https://www.readbyqxmd.com/read/29320438/modeling-unobserved-heterogeneity-in-susceptibility-to-ambient-benzo-a-pyrene-concentration-among-children-with-allergic-asthma-using-an-unsupervised-learning-algorithm
#15
Daniel Fernández, Radim J Sram, Miroslav Dostal, Anna Pastorkova, Hans Gmuender, Hyunok Choi
Current studies of gene × air pollution interaction typically seek to identify unknown heritability of common complex illnesses arising from variability in the host's susceptibility to environmental pollutants of interest. Accordingly, a single component generalized linear models are often used to model the risk posed by an environmental exposure variable of interest in relation to a priori determined DNA variants. However, reducing the phenotypic heterogeneity may further optimize such approach, primarily represented by the modeled DNA variants...
January 10, 2018: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/29320180/inner-and-outer-recursive-neural-networks-for-chemoinformatics-applications
#16
Gregor Urban, Niranjan Subrahmanya, Pierre Baldi
Deep learning methods applied to problems in chemoinformatics often require the use of recursive neural networks to handle data with graphical structure and variable size. We present a useful classification of recursive neural networks approaches into two classes, the Inner and Outer approach. The inner approach uses recursion inside the underlying graph, to essentially 'crawl' the edges of the graph, while the outer approach uses recursion outside the underlying graph, to aggregate information over progressively longer distances in an orthogonal direction...
January 10, 2018: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/29316626/merging-digital-medicine-and-economics-two-moving-averages-unlock-biosignals-for-better-health
#17
Mohamed Elgendi
Algorithm development in digital medicine necessitates ongoing knowledge and skills updating to match the current demands and constant progression in the field. In today's chaotic world there is an increasing trend to seek out simple solutions for complex problems that can increase efficiency, reduce resource consumption, and improve scalability. This desire has spilled over into the world of science and research where many disciplines have taken to investigating and applying more simplistic approaches. Interestingly, through a review of current literature and research efforts, it seems that the learning and teaching principles in digital medicine continue to push towards the development of sophisticated algorithms with a limited scope and has not fully embraced or encouraged a shift towards more simple solutions that yield equal or better results...
January 6, 2018: Diseases (Basel)
https://www.readbyqxmd.com/read/29316598/s-orthopaedic-department-teaching-status-associated-with-adverse-outcomes-of-primary-total-knee-arthroplasty
#18
Dean C Perfetti, Nipun Sodhi, Anton Khlopas, Assem A Sultan, Suela Lamaj, Mathew R Boylan, Jared M Newman, Qais Naziri, William A Cantrell, Aditya V Maheshwari, Carl B Paulino, Michael A Mont
INTRODUCTION: Although resident physicians have a critical role in the daily management of patients, based on their limited experiences, they are thought to potentially create inefficiencies in the hospital. With changes set forth by the Comprehensive Care for Joint Replacement (CJR) program, both teaching and non-teaching hospitals are directly compared on efficiency and outcomes. Therefore, the purpose of this study was to compare outcomes between teaching and non-teaching hospitals in the state of New York...
December 22, 2017: Surgical Technology International
https://www.readbyqxmd.com/read/29315411/improving-procedural-and-one-year-outcome-after-contact-force-guided-pulmonary-vein-isolation-the-role-of-interlesion-distance-ablation-index-and-contact-force-variability-in-the-close-protocol
#19
Thomas Phlips, Philippe Taghji, Milad El Haddad, Michael Wolf, Sébastien Knecht, Yves Vandekerckhove, René Tavernier, Mattias Duytschaever
Aims: We have recently shown that a contact force (CF)-guided ablation protocol respecting region-specific criteria of lesion contiguity and lesion depth ('CLOSE' protocol) is associated with high incidence of acute durable pulmonary vein (PV) isolation (PVI) and a high single-procedure arrhythmia-free survival at 1 year. In the present study, we compared efficiency, safety, and efficacy of 'CLOSE'-guided PVI to conventional CF-guided PVI (CONV-CF). Methods and results: Fifty consecutive paroxysmal atrial fibrillation (AF) patients underwent PV encircling using a CF-sensing catheter targeting an interlesion distance (ILD) ≤6 mm and ablation index (AI) ≥400 and ≥550 at posterior and anterior wall ('CLOSE' group)...
January 4, 2018: Europace: European Pacing, Arrhythmias, and Cardiac Electrophysiology
https://www.readbyqxmd.com/read/29311120/transradial-cerebral-angiography-techniques-and-outcomes
#20
Brian M Snelling, Samir Sur, Sumedh S Shah, Priyank Khandelwal, Justin Caplan, Rianna Haniff, Robert M Starke, Dileep R Yavagal, Eric C Peterson
BACKGROUND: Despite several retrospective studies analyzing the safety and efficacy of transradial access (TRA) versus transfemoral access (TFA) for cerebral angiography, this transition for neurointerventional procedures has been gradual. Nonetheless, based on our positive initial institutional experience with TRA for mechanical thrombectomy in acute ischemic stroke patients, we have started transitioning more of our cerebral angiography cases to TRA. Here we present our single institution experience...
January 8, 2018: Journal of Neurointerventional Surgery
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