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https://www.readbyqxmd.com/read/28324982/multi-task-transfer-learning-for-in-hospital-death-prediction-of-icu-patients
#1
Chandan Karmakar, Budhaditya Saha, Marimuthu Palaniswami, Svetha Venkatesh
Multi-Task Transfer Learning (MTTL) is an efficient approach for learning from inter-related tasks with small sample size and imbalanced class distribution. Since the intensive care unit (ICU) data set (publicly available in Physionet) has subjects from four different ICU types, we hypothesize that there is an underlying relatedness amongst various ICU types. Therefore, this study aims to explore MTTL model for in-hospital mortality prediction of ICU patients. We used single-task learning (STL) approach on the augmented data as well as individual ICU data and compared the performance with the proposed MTTL model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324954/hardware-friendly-seizure-detection-with-a-boosted-ensemble-of-shallow-decision-trees
#2
Mahsa Shoaran, Masoud Farivar, Azita Emami
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/28324951/mentor-s-brain-functional-connectivity-network-during-robotic-assisted-surgery-mentorship
#3
Somayeh B Shafiei, Scott T Doyle, Khurshid A Guru
In many complicated cognitive-motor tasks mentoring is inevitable during the learning process. Although mentors are expert in doing the task, trainee's operation might be new for a mentor. This makes mentoring a very difficult task which demands not only the knowledge and experience of a mentor, but also his/her ability to follow trainee's movements and patiently advise him/her during the operation. We hypothesize that information binding throughout the mentor's brain areas, contributed to the task, changes as the expertise level of the trainee improves from novice to intermediate and expert...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324931/muscle-activity-distribution-features-extracted-from-hd-semg-to-perform-forearm-pattern-recognition
#4
F Nougarou, A Campeau-Lecours, D Massicotte, B Gosselin
An efficient pattern recognition system based exclusively on forearm surface Electromyographic (sEMG) signals is proposed to provide a more intuitive control of a robotic arm used by some of the disabled. The main contribution of this paper is the use of an original set of features characterizing the muscle activity distribution obtained with high-density sEMG (HD sEMG) sensors. Contrary to simple sEMG, HD sEMG can produce muscle activity images with spatial distributions that differ according to forearm movement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324650/genome-engineering-of-virulent-lactococcal-phages-using-crispr-cas9
#5
Marie-Laurence Lemay, Denise M Tremblay, Sylvain Moineau
Phages are biological entities found in every ecosystem. Although much has been learned about them in past decades, significant knowledge gaps remain. Manipulating virulent phage genomes is challenging. To date, no efficient gene-editing tools exist for engineering virulent lactococcal phages. Lactococcus lactis is a bacterium extensively used as a starter culture in various milk fermentation processes and its phage sensitivity poses a constant risk to the cheese industry. The lactococcal phage p2 is one of the best-studied models for these virulent phages...
March 21, 2017: ACS Synthetic Biology
https://www.readbyqxmd.com/read/28323724/ebus-stat-subscore-analysis-to-predict-the-efficacy-and-assess-the-validity-of-virtual-reality-simulation-for-ebus-tbna-training-among-experienced-bronchoscopists
#6
Simone Scarlata, Patrizio Palermo, Piero Candoli, Ariela Tofani, Tommasangelo Petitti, Lorenzo Corbetta
BACKGROUND: Linear endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) represents a pivotal innovation in interventional pulmonology; determining the best approach to guarantee systematic and efficient training is expected to become a main issue in the forthcoming years. Virtual reality simulators have been proposed as potential EBUS-TBNA training instruments, to avoid unskilled beginners practicing directly in real-life settings. A validated and perfected simulation program could be used before allowing beginners to practice on patients...
April 2017: Journal of Bronchology & Interventional Pulmonology
https://www.readbyqxmd.com/read/28318928/structured-evaluation-and-need-based-restructuring-of-the-cranio-maxillofacial-surgery-module-within-surgical-clerkship
#7
Sebastian Herbert Hoefer, Jasmina Sterz, Bernd Bender, Christina Stefanescu, Marius Theis, Felix Walcher, Robert Sader, Miriam Ruesseler
BACKGROUND: Evaluations are important for teaching courses and contribute to educational quality assurance. CMF surgery provides a module in the skills-lab week in preparation for surgical clerkship. Even though the CMF module receives positive evaluations, the students report deviating content. Subsequently, exams skills were often not mastered correctly. The aim of this study is to gather the contents taught within the course and to revise the module accordingly. METHODS: A structured evaluation sheet was used to evaluate the CMF modules...
February 13, 2017: Journal of Cranio-maxillo-facial Surgery
https://www.readbyqxmd.com/read/28318840/self-reported-sleep-disturbances-associated-with-procedural-learning-impairment-in-adolescents-at-ultra-high-risk-for-psychosis
#8
Jessica R Lunsford-Avery, Derek J Dean, Vijay A Mittal
Sleep disturbance contributes to impaired procedural learning in schizophrenia, yet little is known about this relationship prior to psychosis onset. Adolescents at ultra high-risk (UHR; N=62) for psychosis completed the Pittsburgh Sleep Quality Index (PSQI) and a procedural learning task (Pursuit Rotor). Increased self-reported problems with sleep latency, efficiency, and quality were associated with impaired procedural learning rate. Further, within-sample comparisons revealed that UHR youth reporting better sleep displayed a steeper learning curve than those with poorer sleep...
March 16, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/28318292/from-play-to-proficiency-the-ontogeny-of-stone-tool-use-in-coastal-foraging-long-tailed-macaques-macaca-fascicularis-from-a-comparative-perception-action-perspective
#9
Amanda W Y Tan
Macaques crack shellfish in coastal environments with specialized stone-hammering techniques. I provide the first examination of skill development from 866 object-manipulation and 7,400 tool-use bouts, collected over 15 months, using longitudinal analyses of infants' object manipulation (N = 7) and cross-sectional comparisons of manipulative and tool-use behavior (N = 69). I adopt a Perception-action approach, examining how the emergence of actions on objects relate to the spatial-relational and percussive challenges of tool use...
March 20, 2017: Journal of Comparative Psychology
https://www.readbyqxmd.com/read/28318285/reading-through-the-life-span-individual-differences-in-psycholinguistic-effects
#10
Rob A I Davies, Ruth Arnell, Julia M H Birchenough, Debbie Grimmond, Sam Houlson
The effects of psycholinguistic variables are critical to the evaluation of theories about the cognitive reading system. However, reading research has tended to focus on the impact of key variables on average performance. We report the first investigation examining variation in psycholinguistic effects across the life span, from childhood into old age. We analyzed the performance of a sample of 535 readers, aged 8-83 years in lexical decision and pronunciation tasks. Our findings show that the effects on reading of two key variables, frequency and AoA, decrease in size with increasing age over the life span...
March 20, 2017: Journal of Experimental Psychology. Learning, Memory, and Cognition
https://www.readbyqxmd.com/read/28316957/the-evolution-of-computer-assisted-total-hip-arthroplasty-and-relevant-applications
#11
EDITORIAL
Jun-Dong Chang, In-Sung Kim, Atul M Bhardwaj, Ramachandra N Badami
In total hip arthroplasty (THA), the accurate positioning of implants is the key to achieve a good clinical outcome. Computer-assisted orthopaedic surgery (CAOS) has been developed for more accurate positioning of implants during the THA. There are passive, semi-active, and active systems in CAOS for THA. Navigation is a passive system that only provides information and guidance to the surgeon. There are 3 types of navigation: imageless navigation, computed tomography (CT)-based navigation, and fluoroscopy-based navigation...
March 2017: Hip & Pelvis
https://www.readbyqxmd.com/read/28315083/achieving-the-promise-of-therapeutic-extracellular-vesicles-the-devil-is-in-details-of-therapeutic-loading
#12
REVIEW
Dhruvitkumar S Sutaria, Mohamed Badawi, Mitch A Phelps, Thomas D Schmittgen
Extracellular vesicles (EVs) represent a class of cell secreted organelles which naturally contain biomolecular cargo such as miRNA, mRNA and proteins. EVs mediate intercellular communication, enabling the transfer of functional nucleic acids from the cell of origin to the recipient cells. In addition, EVs make an attractive delivery vehicle for therapeutics owing to their increased stability in circulation, biocompatibility, low immunogenicity and toxicity profiles. EVs can also be engineered to display targeting moieties on their surfaces which enables targeting to desired tissues, organs or cells...
March 17, 2017: Pharmaceutical Research
https://www.readbyqxmd.com/read/28315069/toolkits-and-libraries-for-deep-learning
#13
REVIEW
Bradley J Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy Kline, Kenneth Philbrick
Deep learning is an important new area of machine learning which encompasses a wide range of neural network architectures designed to complete various tasks. In the medical imaging domain, example tasks include organ segmentation, lesion detection, and tumor classification. The most popular network architecture for deep learning for images is the convolutional neural network (CNN). Whereas traditional machine learning requires determination and calculation of features from which the algorithm learns, deep learning approaches learn the important features as well as the proper weighting of those features to make predictions for new data...
March 17, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28303790/design-of-robust-adaptive-controller-and-feedback-error-learning-for-rehabilitation-in-parkinson-s-disease-a-simulation-study
#14
Korosh Rouhollahi, Mehran Emadi Andani, Seyed Mahdi Karbassi, Iman Izadi
Deep brain stimulation (DBS) is an efficient therapy to control movement disorders of Parkinson's tremor. Stimulation of one area of basal ganglia (BG) by DBS with no feedback is the prevalent opinion. Reduction of additional stimulatory signal delivered to the brain is the advantage of using feedback. This results in reduction of side effects caused by the excessive stimulation intensity. In fact, the stimulatory intensity of controllers is decreased proportional to reduction of hand tremor. The objective of this study is to design a new controller structure to decrease three indicators: (i) the hand tremor; (ii) the level of delivered stimulation in disease condition; and (iii) the ratio of the level of delivered stimulation in health condition to disease condition...
February 2017: IET Systems Biology
https://www.readbyqxmd.com/read/28302519/using-ontology-based-semantic-similarity-to-facilitate-the-article-screening-process-for-systematic-reviews
#15
Xiaonan Ji, Alan Ritter, Po-Yin Yen
OBJECTIVE: Systematic Reviews (SRs) are utilized to summarize evidence from high quality studies and are considered the preferred source of evidence-based practice (EBP). However, conducting SRs can be time and labor intensive due to the high cost of article screening. In previous studies, we demonstrated utilizing established (lexical) article relationships to facilitate the identification of relevant articles in an efficient and effective manner. Here we propose to enhance article relationships with background semantic knowledge derived from Unified Medical Language System (UMLS) concepts and ontologies...
March 13, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28302085/adaptation-of-non-technical-skills-behavioural-markers-for-delivery-room-simulation
#16
Fabrizio Bracco, Michele Masini, Gabriele De Tonetti, Francesca Brogioni, Arianna Amidani, Sara Monichino, Alessandra Maltoni, Andrea Dato, Claudia Grattarola, Massimo Cordone, Giancarlo Torre, Claudio Launo, Carlo Chiorri, Danilo Celleno
BACKGROUND: Simulation in healthcare has proved to be a useful method in improving skills and increasing the safety of clinical operations. The debriefing session, after the simulated scenario, is the core of the simulation, since it allows participants to integrate the experience with the theoretical frameworks and the procedural guidelines. There is consistent evidence for the relevance of non-technical skills (NTS) for the safe and efficient accomplishment of operations. However, the observation, assessment and feedback on these skills is particularly complex, because the process needs expert observers and the feedback is often provided in judgmental and ineffective ways...
March 17, 2017: BMC Pregnancy and Childbirth
https://www.readbyqxmd.com/read/28301447/mercury-spill-responses-five-states-2012-2015
#17
Ryan J Wozniak, Anne E Hirsch, Christina R Bush, Stuart Schmitz, Jeff Wenzel
Despite measures to educate the public about the dangers of elemental mercury, spills continue to occur in homes, schools, health care facilities, and other settings, endangering the public's health and requiring costly cleanup. Mercury is most efficiently absorbed by the lungs, and exposure to high levels of mercury vapor after a release can cause cough, sore throat, shortness of breath, nausea, vomiting, diarrhea, headaches, and visual disturbances (1). Children and fetuses are most susceptible to the adverse effects of mercury vapor exposure...
March 17, 2017: MMWR. Morbidity and Mortality Weekly Report
https://www.readbyqxmd.com/read/28300985/family-health-teams-workers-in-rio-de-janeiro-leadership-aspects-in-a-study-on-organizational-climate
#18
Leda Jung Dos Santos, Maurício Sangama Paranhos
Organizational climate is understood as the formal or informal perception of policies, practices, actions and organizational procedures, and is a factor of influence in the efficiency of the results, as well as in the conduct of people that are part of an organization. This paper describes one of organizational climate realms, namely, leadership, comparing the strata of professional categories of the Family Health Teams in the city of Rio de Janeiro. Thus, an administrative-based survey was carried out with a sample of n = 9,590 people in 187 primary healthcare units (71 Family Clinics and 116 Municipal Health Centers)...
March 2017: Ciência & Saúde Coletiva
https://www.readbyqxmd.com/read/28300715/operative-learning-curve-after-transition-to-endoscopic-transsphenoidal-pituitary-surgery
#19
Tasneem Shikary, Norberto Andaluz, Jareen Meinzen-Derr, Collin Edwards, Philip Theodosopoulos, Lee A Zimmer
OBJECTIVES: No clear consensus yet defines the endpoints for operative learning curves in the transition to minimally invasive endoscopic techniques. This retrospective review of our first 202 patients who underwent endoscopic pituitary resection examines the statistical learning curve related to operative times--a measure of our surgical team's efficiency and complication rates, a reflection of surgical skill and maturity. METHODS: Retrospective chart review included patient demographics, tumor type, operative times, complication rates, and follow-up...
March 11, 2017: World Neurosurgery
https://www.readbyqxmd.com/read/28298265/supervised-machine-learning-algorithms-can-classify-open-text-feedback-of-doctor-performance-with-human-level-accuracy
#20
Chris Gibbons, Suzanne Richards, Jose Maria Valderas, John Campbell
BACKGROUND: Machine learning techniques may be an effective and efficient way to classify open-text reports on doctor's activity for the purposes of quality assurance, safety, and continuing professional development. OBJECTIVE: The objective of the study was to evaluate the accuracy of machine learning algorithms trained to classify open-text reports of doctor performance and to assess the potential for classifications to identify significant differences in doctors' professional performance in the United Kingdom...
March 15, 2017: Journal of Medical Internet Research
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