keyword
MENU ▼
Read by QxMD icon Read
search

algorithm

keyword
https://www.readbyqxmd.com/read/27926946/a-multi-verse-optimizer-with-levy-flights-for-numerical-optimization-and-its-application-in-test-scheduling-for-network-on-chip
#1
Cong Hu, Zhi Li, Tian Zhou, Aijun Zhu, Chuanpei Xu
We propose a new meta-heuristic algorithm named Levy flights multi-verse optimizer (LFMVO), which incorporates Levy flights into multi-verse optimizer (MVO) algorithm to solve numerical and engineering optimization problems. The Original MVO easily falls into stagnation when wormholes stochastically re-span a number of universes (solutions) around the best universe achieved over the course of iterations. Since Levy flights are superior in exploring unknown, large-scale search space, they are integrated into the previous best universe to force MVO out of stagnation...
2016: PloS One
https://www.readbyqxmd.com/read/27926687/an-initiative-to-standardize-the-identification-of-and-acute-response-to-postoperative-lower-extremity-neurological-deficits-effects-on-provider-knowledge-confidence-and-communication-skills
#2
Peter B Derman, Sravisht Iyer, Matthew Garner, Steven Orr, Karla J Felix, Allison Goldberg, Titilayo Ologhobo, Minlun Wu, Laura Robbins, Charles Cornell
BACKGROUND: Although relatively uncommon, neurological deficits following hip and knee arthroplasty can have permanent and debilitating consequences. This study was conducted to quantify the effectiveness of an educational curriculum aimed at standardizing the identification of and acute response to postoperative neurological deficits in the inpatient setting, specifically with respect to improvements in clinician knowledge, confidence levels, and communication skills. METHODS: A multidisciplinary committee at a single, high-volume academic institution created an algorithm delineating the appropriate clinical actions and escalation procedures in the setting of a postoperative neurological deficit for each clinical practitioner involved in care for patients who undergo arthroplasty...
December 7, 2016: Journal of Bone and Joint Surgery. American Volume
https://www.readbyqxmd.com/read/27926638/determining-optimal-route-of-hysterectomy-for-benign-indications-clinical-decision-tree-algorithm
#3
Jennifer J Schmitt, Daniel A Carranza Leon, John A Occhino, Amy L Weaver, Sean C Dowdy, Jamie N Bakkum-Gamez, Kalyan S Pasupathy, John B Gebhart
OBJECTIVE: To evaluate practice change after initiation of a robotic surgery program using a clinical algorithm to determine the optimal surgical approach to benign hysterectomy. METHODS: A retrospective postrobot cohort of benign hysterectomies (2009-2013) was identified and the expected surgical route was determined from an algorithm using vaginal access and uterine size as decision tree branches. We excluded the laparoscopic hysterectomy route. A prerobot cohort (2004-2005) was used to evaluate a practice change after the addition of robotic technology (2007)...
December 2, 2016: Obstetrics and Gynecology
https://www.readbyqxmd.com/read/27926548/liver-transplantation-for-hepatocellular-carcinoma-current-update-on-treatment-and-allocation
#4
Leigh Anne Dageforde, Kathryn J Fowler, William C Chapman
PURPOSE OF REVIEW: This review discusses the current imaging modalities and criteria used to diagnose, and the role of liver transplantation as well as nonsurgical hepatic-directed therapies to treat hepatocellular carcinoma in the setting of chronic liver disease. RECENT FINDINGS: There has been continual evolution of guidelines, policies, and algorithms for the imaging diagnosis of hepatocellular carcinoma, particularly the Liver Imaging Reporting and Data System...
December 6, 2016: Current Opinion in Organ Transplantation
https://www.readbyqxmd.com/read/27926382/prediction-of-anti-cancer-drug-response-by-kernelized-multi-task-learning
#5
Mehmet Tan
MOTIVATION: Chemotherapy or targeted therapy are two of the main treatment options for many types of cancer. Due to the heterogeneous nature of cancer, the success of the therapeutic agents differs among patients. In this sense, determination of chemotherapeutic response of the malign cells is essential for establishing a personalized treatment protocol and designing new drugs. With the recent technological advances in producing large amounts of pharmacogenomic data, in silico methods have become important tools to achieve this aim...
October 2016: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/27926381/a-review-on-brain-structures-segmentation-in-magnetic-resonance-imaging
#6
REVIEW
Sandra González-Villà, Arnau Oliver, Sergi Valverde, Liping Wang, Reyer Zwiggelaar, Xavier Lladó
BACKGROUND AND OBJECTIVES: Automatic brain structures segmentation in magnetic resonance images has been widely investigated in recent years with the goal of helping diagnosis and patient follow-up in different brain diseases. Here, we present a review of the state-of-the-art of automatic methods available in the literature ranging from structure specific segmentation methods to whole brain parcellation approaches. METHODS: We divide first the algorithms according to their target structures and then we propose a general classification based on their segmentation strategy, which includes atlas-based, learning-based, deformable, region-based and hybrid methods...
October 2016: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/27926379/a-comparative-analysis-of-chaotic-particle-swarm-optimizations-for-detecting-single-nucleotide-polymorphism-barcodes
#7
Li-Yeh Chuang, Sin-Hua Moi, Yu-Da Lin, Cheng-Hong Yang
OBJECTIVE: Evolutionary algorithms could overcome the computational limitations for the statistical evaluation of large datasets for high-order single nucleotide polymorphism (SNP) barcodes. Previous studies have proposed several chaotic particle swarm optimization (CPSO) methods to detect SNP barcodes for disease analysis (e.g., for breast cancer and chronic diseases). This work evaluated additional chaotic maps combined with the particle swarm optimization (PSO) method to detect SNP barcodes using a high-dimensional dataset...
October 2016: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/27926378/automated-segmentation-of-white-matter-fiber-bundles-using-diffusion-tensor-imaging-data-and-a-new-density-based-clustering-algorithm
#8
Tahereh Kamali, Daniel Stashuk
OBJECTIVE: Robust and accurate segmentation of brain white matter (WM) fiber bundles assists in diagnosing and assessing progression or remission of neuropsychiatric diseases such as schizophrenia, autism and depression. Supervised segmentation methods are infeasible in most applications since generating gold standards is too costly. Hence, there is a growing interest in designing unsupervised methods. However, most conventional unsupervised methods require the number of clusters be known in advance which is not possible in most applications...
October 2016: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/27926377/brain-tumor-segmentation-from-multimodal-magnetic-resonance-images-via-sparse-representation
#9
Yuhong Li, Fucang Jia, Jing Qin
OBJECTIVE: Accurately segmenting and quantifying brain gliomas from magnetic resonance (MR) images remains a challenging task because of the large spatial and structural variability among brain tumors. To develop a fully automatic and accurate brain tumor segmentation algorithm, we present a probabilistic model of multimodal MR brain tumor segmentation. This model combines sparse representation and the Markov random field (MRF) to solve the spatial and structural variability problem. METHODS: We formulate the tumor segmentation problem as a multi-classification task by labeling each voxel as the maximum posterior probability...
October 2016: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/27925768/unsupervised-classification-during-time-series-model-building
#10
Kathleen M Gates, Stephanie T Lane, E Varangis, K Giovanello, K Guiskewicz
Researchers who collect multivariate time-series data across individuals must decide whether to model the dynamic processes at the individual level or at the group level. A recent innovation, group iterative multiple model estimation (GIMME), offers one solution to this dichotomy by identifying group-level time-series models in a data-driven manner while also reliably recovering individual-level patterns of dynamic effects. GIMME is unique in that it does not assume homogeneity in processes across individuals in terms of the patterns or weights of temporal effects...
December 7, 2016: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/27925657/population-pharmacokinetics-of-cefazolin-in-serum-and-adipose-tissue-from-overweight-and-obese-women-undergoing-cesarean-delivery
#11
Mordechai Grupper, Joseph L Kuti, Morgan L Swank, Lindsay Maggio, Brenna L Hughes, David P Nicolau
The optimal antibiotic prophylaxis dosing regimen of cefazolin for cesarean delivery (CD) in overweight and obese women is unknown. This study was done to compare the duration that cefazolin concentrations remain above the minimum inhibitory concentration (MIC) in adipose tissue (AT). Serum and AT concentrations from 3 previous studies in CD patients were comodeled using the nonparametric adaptive grid algorithm in Pmetrics. AT concentrations for 5000 overweight and obese patients receiving 1-, 2-, and 3-g cefazolin regimens were simulated to calculate the probability that free drug concentrations remained above an MIC of 2 μg/mL at 1, 1...
December 7, 2016: Journal of Clinical Pharmacology
https://www.readbyqxmd.com/read/27925634/influence-of-implant-surface-texture-design-on-peri-acetabular-bone-ingrowth-a-mechanobiology-based-finite-element-analysis
#12
Kaushik Mukherjee, Sanjay Gupta
The fixation of uncemented acetabular components largely depends on the amount of bone ingrowth, which is influenced by the design of the implant surface texture. The objective of this numerical study is to evaluate the effect of these implant texture design factors on bone ingrowth around an acetabular component. The novelty of this study lies in comparative Finite Element analysis of 3D microscale models of the implant-bone interface, considering patient-specific mechanical environment, host bone material property and implant-bone relative displacement, in combination with sequential mechanoregulatory algorithm and design of experiment based statistical framework...
December 7, 2016: Journal of Biomechanical Engineering
https://www.readbyqxmd.com/read/27925605/large-scale-sparse-learning-from-noisy-tags-for-semantic-segmentation
#13
Aoxue Li, Zhiwu Lu, Liwei Wang, Peng Han, Ji-Rong Wen
In this paper, we present a large-scale sparse learning (LSSL) approach to solve the challenging task of semantic segmentation of images with noisy tags. Different from the traditional strongly supervised methods that exploit pixel-level labels for semantic segmentation, we make use of much weaker supervision (i.e., noisy tags of images) and then formulate the task of semantic segmentation as a weakly supervised learning (WSL) problem from the view point of noise reduction of superpixel labels. By learning the data manifolds, we transform the WSL problem into an LSSL problem...
December 2, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27925604/sequence-based-deterministic-initialization-for-evolutionary-algorithms
#14
Saber Elsayed, Ruhul Sarker, Carlos A Coello Coello
It is well known that the performances of evolutionary algorithms are influenced by the quality of their initial populations. Over the years, many different techniques for generating an initial population by uniformly covering as much of the search space as possible have been proposed. However, none of these approaches considers any input from the function that must be evolved using that population. In this paper, a new initialization technique, which can be considered a heuristic space-filling approach, based on both function to be optimized and search space, is proposed...
December 1, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27925603/consensus-control-of-nonlinear-multiagent-systems-with-time-varying-state-constraints
#15
Wenchao Meng, Qinmin Yang, Jennie Si, Youxian Sun
In this paper, we present a novel adaptive consensus algorithm for a class of nonlinear multiagent systems with time-varying asymmetric state constraints. As such, our contribution is a step forward beyond the usual consensus stabilization result to show that the states of the agents remain within a user defined, time-varying bound. To prove our new results, the original multiagent system is transformed into a new one. Stabilization and consensus of transformed states are sufficient to ensure the consensus of the original networked agents without violating of the predefined asymmetric time-varying state constraints...
December 1, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27925599/sparse-regularization-in-fuzzy-c-means-for-high-dimensional-data-clustering
#16
Xiangyu Chang, Qingnan Wang, Yuewen Liu, Yu Wang
In high-dimensional data clustering practices, the cluster structure is commonly assumed to be confined to a limited number of relevant features, rather than the entire feature set. However, for high-dimensional data, identifying the relevant features and discovering the cluster structure are still challenging problems. To solve these problems, this paper proposes a novel fuzzy c-means (FCM) model with sparse regularization (ℓq(0<q≤1)-norm regularization), by reformulating the FCM objective function into the weighted between-cluster sum of square form and imposing the sparse regularization on the weights...
December 1, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27925594/a-memetic-algorithm-for-3-d-protein-structure-prediction-problem
#17
Leonardo Correa, Bruno Borguesan, Camilo Farfan, Mario Inostroza-Ponta, Marcio Dorn
Memetic Algorithms are population-based metaheuristics intrinsically concerned with exploiting all available knowledge about the problem under study. The incorporation of problem domain knowledge is not an optional mechanism, but a fundamental feature of the Memetic Algorithms. In this paper, we present a Memetic Algorithm to tackle the three-dimensional protein structure prediction problem. The method uses a structured population and incorporates a Simulated Annealing algorithm as a local search strategy, as well as ad-hoc crossover and mutation operators to deal with the problem...
December 2, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/27925588/fabrication-of-two-flow-phantoms-for-doppler-ultrasound-imaging
#18
Xiaowei Zhou, David Kenwright, Shiying Wang, John Hossack, Peter Hoskins
Flow phantoms are widely used in studies associated with Doppler ultrasound measurements, acting as an effective experimental validation system in cardiovascular related research and in new algorithm / instrumentation development. The development of materials that match the acoustic and mechanical properties of vascular system are of great interest while designing flow phantoms. Although recipes that meet the flow phantom standard defined by International Electrotechnical Commission (IEC) 61685 are already available in the literature, standard procedure of material preparations and phantom fabrications have not been well established...
December 1, 2016: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
https://www.readbyqxmd.com/read/27925586/a-bayesian-additive-model-for-understanding-public-transport-usage-in-special-events
#19
Filipe Rodrigues, Stanislav Borysov, Bernardete Ribeiro, Francisco Pereira
Public special events, like sports games, concerts and festivals are well known to create disruptions in transportation systems, often catching the operators by surprise. Although these are usually planned well in advance, their impact is difficult to predict, even when organisers and transportation operators coordinate. The problem highly increases when several events happen concurrently. To solve these problems, costly processes, heavily reliant on manual search and personal experience, are usual practice in large cities like Singapore, London or Tokyo...
December 2, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/27925585/using-contact-forces-and-robot-arm-accelerations-to-automatically-rate-surgeon-skill-at-peg-transfer
#20
Jeremy Brown, Conor O'Brien, Sarah Leung, Kristoffel Dumon, David Lee, Katherine Kuchenbecker
OBJECTIVE: Most trainees begin learning robotic minimally invasive surgery by performing inanimate practice tasks with clinical robots such as the Intuitive Surgical da Vinci. Expert surgeons are commonly asked to evaluate these performances using standardized five-point rating scales, but doing such ratings is time consuming, tedious, and somewhat subjective. This article presents an automatic skill evaluation system that analyzes only the contact force with the task materials, the broad-bandwidth accelerations of the robotic instruments and camera, and the task completion time...
December 2, 2016: IEEE Transactions on Bio-medical Engineering
keyword
keyword
7641
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"