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https://www.readbyqxmd.com/read/29136390/assurance-of-myeloid-growth-factor-administration-in-an-infusion-center-pilot-quality-improvement-initiative
#1
Pamela Maree Ramirez, Barry Peterson, Christine Holtshopple, Kristina Borja, Vincent Torres, Lucille Valdivia-Peppers, Julio Harriague, Melanie D Joe
PURPOSE: Four incident reports involving missed doses of myeloid growth factors (MGFs) triggered the need for an outcome-driven initiative. From March 1, 2015, to February 29, 2016, at University of California Irvine Health Chao Infusion Center, 116 of 3,300 MGF doses were missed (3.52%), including pegfilgrastim, filgrastim, and sargramostim. We hypothesized that with the application of Lean Six Sigma methodology, we would achieve our primary objective of reducing the number of missed MGF doses to < 0...
November 14, 2017: Journal of Oncology Practice
https://www.readbyqxmd.com/read/29082321/expert-panel-on-understanding-cannabis-medicine-society-government
#2
Kyle Kazan, Daniele Piomelli, Dana Rohrabacher, Lori Ajax
On May 5, 2017, the Department of Anatomy and Neurobiology of the University of California Irvine convened an expert panel to discuss issues related to cannabis at the interface between medical science, society and government. The expert panel included Dr. Daniele Piomelli, U.S. Representative Dana Rohrabacher, Lori Ajax, and was moderated by Kyle Kazan.
2017: Cannabis and Cannabinoid Research
https://www.readbyqxmd.com/read/29060691/wrapper-method-for-feature-selection-to-classify-cardiac-arrhythmia
#3
Anam Mustaqeem, Syed Muhammad Anwar, Muhammad Majid, Abdul Rashid Khan
Efficient monitoring of cardiac patients can save tremendous amount of lives. Cardiac disease prediction and classification has gained utmost significance in this regard during the past few years. This paper presents a predictive model for classification of arrhythmias. The model works by selecting best features using wrapper algorithm around random forest, followed by implementing various machine learning classifiers on the selected features. Cardiac arrhythmia dataset from University of California, Irvine (UCI) machine learning repository has been used for the experimental purpose...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28956226/evolutionary-and-neural-computing-based-decision-support-system-for-disease-diagnosis-from-clinical-data-sets-in-medical-practice
#4
M Sudha
As a recent trend, various computational intelligence and machine learning approaches have been used for mining inferences hidden in the large clinical databases to assist the clinician in strategic decision making. In any target data the irrelevant information may be detrimental, causing confusion for the mining algorithm and degrades the prediction outcome. To address this issue, this study attempts to identify an intelligent approach to assist disease diagnostic procedure using an optimal set of attributes instead of all attributes present in the clinical data set...
September 27, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28910806/warfarin-use-and-increased-mortality-in-end-stage-renal-disease
#5
Mark C Lin, Elani Streja, Melissa Soohoo, Medhat Hanna, Javad Savoj, Kamyar Kalantar-Zadeh, Wei Ling Lau
BACKGROUND: Controversy exists regarding the benefits and risks of warfarin therapy in chronic kidney disease (CKD) and end-stage renal disease (ESRD) patients. In this study, we assessed mortality and cardiovascular outcomes associated with warfarin treatment in patients with stages 3-5 CKD and ESRD admitted to the University of California-Irvine Medical Center. METHODS: In a retrospective matched cohort study, we identified 59 adult patients with stages 3-6 CKD initiated on warfarin during the period 2011-2013, and 144 patients with stages 3-6 CKD who had indications for anticoagulation therapy but were not initiated on warfarin...
2017: American Journal of Nephrology
https://www.readbyqxmd.com/read/28905236/diagnosis-of-coronary-artery-disease-using-an-efficient-hash-table-based-closed-frequent-itemsets-mining
#6
Ramesh Dhanaseelan, M Jeya Sutha
This paper proposes an efficient hash table based closed frequent itemsets (HCFI) mining algorithm to envisage coronary artery disease early. HCFI algorithm generates closed frequent itemsets efficiently by performing intersection operation on transaction id's of itemset without considering the name of item/itemset. The employed hash table reduces search efficiency to O(1) or constant time. HCFI algorithm is applied on the UCI (University of California, Irvine) Cleveland dataset, a biological database of cardiovascular disease to generate closed frequent itemsets on the dataset...
September 14, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28835251/noise-assisted-multivariate-empirical-mode-decomposition-for-multichannel-emg-signals
#7
Yi Zhang, Peng Xu, Peiyang Li, Keyi Duan, Yuexin Wen, Qin Yang, Tao Zhang, Dezhong Yao
BACKGROUND: Ensemble Empirical Mode Decomposition (EEMD) has been popularised for single-channel Electromyography (EMG) signal processing as it can effectively extract the temporal information of the EMG time series. However, few papers examine the temporal and spatial characteristics across multiple muscle groups in relation to multichannel EMG signals. EXPERIMENT: The experimental data was obtained from the Center for Machine Learning and Intelligent Systems, University of California Irvine (UCI)...
August 23, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28828193/strategies-for-overcoming-anti-tumor-necrosis-factor-drug-antibodies-in-inflammatory-bowel-disease-case-series-and-review-of-literature
#8
EDITORIAL
Mansi M Kothari, Douglas L Nguyen, Nimisha K Parekh
Anti-tumor necrosis factor (TNF) biologics are currently amongst the most widely used and efficacious therapies for inflammatory bowel disease (IBD). The development of therapeutic drug monitoring for infliximab and adalimumab has allowed for measurement of drug levels and antidrug antibodies. This information can allow for manipulation of drug therapy and prediction of response. It has been shown that therapeutic anti-TNF drug levels are associated with maintenance of remission, and development of antidrug antibodies is predictive of loss of response...
August 6, 2017: World Journal of Gastrointestinal Pharmacology and Therapeutics
https://www.readbyqxmd.com/read/28600264/generalized-self-organizing-maps-for-automatic-determination-of-the-number-of-clusters-and-their-multiprototypes-in-cluster-analysis
#9
Marian B Gorzalczany, Filip Rudzinski
This paper presents a generalization of self-organizing maps with 1-D neighborhoods (neuron chains) that can be effectively applied to complex cluster analysis problems. The essence of the generalization consists in introducing mechanisms that allow the neuron chain--during learning--to disconnect into subchains, to reconnect some of the subchains again, and to dynamically regulate the overall number of neurons in the system. These features enable the network--working in a fully unsupervised way (i.e., using unlabeled data without a predefined number of clusters)--to automatically generate collections of multiprototypes that are able to represent a broad range of clusters in data sets...
June 7, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28512422/acute-onset-ocular-hypotony-after-coronary-artery-bypass-surgery
#10
Sarah Farukhi Ahmed, Audrey Xi Tai, Mason Schmutz, John Combs, Sameh Mosaed
IMPORTANCE: The purpose of this case report is to evaluate risk factors associated with post-coronary artery bypass graft (CABG) ocular hypotony compared to post-CABG ischemic optic neuropathy. OBSERVATIONS: The patient described here is a single case at the University of California, Irvine Medical Center, from July 2016. This case demonstrates the rare incidence of acute post-CABG ocular hypotony and vision loss in a patient with prior history of optic atrophy...
January 2017: Case Reports in Ophthalmology
https://www.readbyqxmd.com/read/28398523/transitions-in-pregnancy-planning-in-women-recruited-for-a-large-prospective-cohort-study
#11
U Luderer, T Li, J P Fine, R F Hamman, J B Stanford, D Baker
STUDY QUESTION: Do the rates at which women transition among different intensities of pregnancy planning vary with age, marital status and race/ethnicity? SUMMARY ANSWER: Rates of transition from low or moderate pregnancy probability groups (PPGs) to higher PPGs vary by age, marital status and race/ethnicity. WHAT IS KNOWN ALREADY: The design of prospective studies of the effects of pre- and peri-conception exposures on fecundity, pregnancy and children's health is challenging because at any specific time only a small percentage of reproductive age women is attempting to conceive...
June 1, 2017: Human Reproduction
https://www.readbyqxmd.com/read/28295607/incremental-hemodialysis-the-university-of-california-irvine-experience
#12
Mehrdad Ghahremani-Ghajar, Vanessa Rojas-Bautista, Wei-Ling Lau, Madeleine Pahl, Miguel Hernandez, Anna Jin, Uttam Reddy, Jason Chou, Yoshitsugu Obi, Kamyar Kalantar-Zadeh, Connie M Rhee
Incremental hemodialysis has been examined as a viable hemodialysis regimen for selected end-stage renal disease (ESRD) patients. Preservation of residual kidney function (RKF) has been the driving impetus for this approach given its benefits upon the survival and quality of life of dialysis patients. While clinical practice guidelines recommend an incremental start of dialysis in peritoneal dialysis patients with substantial RKF, there remains little guidance with respect to incremental hemodialysis as an initial renal replacement therapy regimen...
May 2017: Seminars in Dialysis
https://www.readbyqxmd.com/read/28185763/bariatric-surgery-attenuates-colitis-in-an-obese-murine-model
#13
Shiri Li, Alessio Vinci, Judith Behnsen, Chunmei Cheng, Stefan Jellbauer, Manuela Raffatellu, Kyle M Sousa, Robert Edwards, Ninh T Nguyen, Michael J Stamos, Alessio Pigazzi
BACKGROUND: Obesity and inflammatory bowel disease (IBD) represent chronic inflammatory conditions. Bariatric surgery improves some obesity-related co-morbidities, but the effects of bariatric surgery on IBD have not been well studied. OBJECTIVES: To examine if bariatric surgery may attenuate colitis in an obese murine model of IBD and study the mechanisms underlying the postsurgical amelioration of intestinal inflammation. SETTING: University of California Irvine, Department of Surgery and Microbiology laboratories...
April 2017: Surgery for Obesity and related Diseases: Official Journal of the American Society for Bariatric Surgery
https://www.readbyqxmd.com/read/28113355/progressive-semisupervised-learning-of-multiple-classifiers
#14
Zhiwen Yu, Ye Lu, Jun Zhang, Jane You, Hau-San Wong, Yide Wang, Guoqiang Han
Semisupervised learning methods are often adopted to handle datasets with very small number of labeled samples. However, conventional semisupervised ensemble learning approaches have two limitations: 1) most of them cannot obtain satisfactory results on high dimensional datasets with limited labels and 2) they usually do not consider how to use an optimization process to enlarge the training set. In this paper, we propose the progressive semisupervised ensemble learning approach (PSEMISEL) to address the above limitations and handle datasets with very small number of labeled samples...
January 19, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28101267/bioart-and-bildung-wetware-art-agency-animation-an-exhibition-as-case-study
#15
Charissa N Terranova
Recent events in the field of biology have further unfixed the definition of life. The negotiability of "life" is at the center of the exhibition "Wetware: Art, Agency, Animation" at the Beall Center for Art + Technology at the University of California, Irvine. The exhibition includes art by nine international artists working in the avant-garde area of contemporary art called "bioart." This article is devoted to the unique educational space opened through the practice of bioart, focusing on how the exhibition brings the scientific question "What is life?" to a public audience...
December 2016: Journal of Microbiology & Biology Education: JMBE
https://www.readbyqxmd.com/read/27956294/nonlinear-optical-corneal-collagen-crosslinking-of-ex%C3%A2-vivo-rabbit-eyes
#16
Samantha M Bradford, Donald J Brown, Tibor Juhasz, Eric Mikula, James V Jester
PURPOSE: To determine whether riboflavin-induced collagen crosslinking (CXL) could be precisely achieved in the corneal stroma of ex vivo rabbit eyes using nonlinear optical excitation with a low numerical aperture lens and enlarged focal volume. SETTING: Gavin Herbert Eye Institute, University of California Irvine, Irvine, California, USA. DESIGN: Experimental study. METHODS: The corneal epithelium was removed and the corneas were soaked in 0...
November 2016: Journal of Cataract and Refractive Surgery
https://www.readbyqxmd.com/read/27955983/what-predicts-performance-a-multicenter-study-examining-the-association-between-resident-performance-rank-list-position-and-united-states-medical-licensing-examination-step-1-scores
#17
Jonathan G Wagner, Todd Schneberk, Marissa Zobrist, H Gene Hern, Jamie Jordan, Megan Boysen-Osborn, Michael Menchine
BACKGROUND: Each application cycle, emergency medicine (EM) residency programs attempt to predict which applicants will be most successful in residency and rank them accordingly on their program's Rank Order List (ROL). OBJECTIVE: Determine if ROL position, participation in a medical student rotation at their respective program, or United States Medical Licensing Examination (USMLE) Step 1 rank within a class is predictive of residency performance. METHODS: All full-time EM faculty at Los Angeles County + University of Southern California (LAC + USC), Harbor-UCLA (Harbor), Alameda Health System-Highland (Highland), and the University of California-Irvine (UCI) ranked each resident in the classes of 2013 and 2014 at time of graduation...
March 2017: Journal of Emergency Medicine
https://www.readbyqxmd.com/read/27918414/wearable-sensor-based-human-activity-recognition-method-with-multi-features-extracted-from-hilbert-huang-transform
#18
Huile Xu, Jinyi Liu, Haibo Hu, Yi Zhang
Wearable sensors-based human activity recognition introduces many useful applications and services in health care, rehabilitation training, elderly monitoring and many other areas of human interaction. Existing works in this field mainly focus on recognizing activities by using traditional features extracted from Fourier transform (FT) or wavelet transform (WT). However, these signal processing approaches are suitable for a linear signal but not for a nonlinear signal. In this paper, we investigate the characteristics of the Hilbert-Huang transform (HHT) for dealing with activity data with properties such as nonlinearity and non-stationarity...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27777752/a-case-management-report-a-collaborative-perioperative-surgical-home-paradigm-and-the-reduction-of-total-joint-arthroplasty-readmissions
#19
Navid Alem, Joseph Rinehart, Brian Lee, Doug Merrill, Safa Sobhanie, Kyle Ahn, Ran Schwarzkopf, Maxime Cannesson, Zeev Kain
BACKGROUND: Efforts to mitigate costs while improving surgical care quality have received much scrutiny. This includes the challenging issue of readmission subsequent to hospital discharge. Initiatives attempting to preclude readmission after surgery require planned and unified efforts extending throughout the perioperative continuum. Patient optimization prior to discharge, enhanced disease monitoring, and seamless coordination of care between hospitals and community providers is integral to this process...
2016: Perioperative Medicine
https://www.readbyqxmd.com/read/27651977/lessons-from-ebola-sources-of-outbreak-information-and-the-associated-impact-on-uc-irvine-and-ohio-university-college-students
#20
Thrissia Koralek, Miryha G Runnerstrom, Brandon J Brown, Chukwuemeka Uchegbu, Tania B Basta
Objectives. We examined the role of outbreak information sources through four domains: knowledge, attitudes, beliefs, and stigma related to the 2014 Ebola virus disease (EVD) outbreak. Methods. We conducted an online survey of 797 undergraduates at the University of California, Irvine (UCI) and Ohio University (OU) during the peak of the outbreak. We calculated individual scores for domains and analyzed associations to demographic variables and news sources. Results. Knowledge of EVD was low and misinformation was prevalent...
2016: PLoS Currents
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