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https://www.readbyqxmd.com/read/28300378/comparison-of-linear-and-nonlinear-programming-approaches-for-worst-case-dose-and-minmax-robust-optimization-of-intensity-modulated-proton-therapy-dose-distributions
#1
Maryam Zaghian, Wenhua Cao, Wei Liu, Laleh Kardar, Sharmalee Randeniya, Radhe Mohan, Gino Lim
Robust optimization of intensity-modulated proton therapy (IMPT) takes uncertainties into account during spot weight optimization and leads to dose distributions that are resilient to uncertainties. Previous studies demonstrated benefits of linear programming (LP) for IMPT in terms of delivery efficiency by considerably reducing the number of spots required for the same quality of plans. However, a reduction in the number of spots may lead to loss of robustness. The purpose of this study was to evaluate and compare the performance in terms of plan quality and robustness of two robust optimization approaches using LP and nonlinear programming (NLP) models...
March 2017: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28293873/the-association-between-nd-yag-laser-and-desensitizing-dentifrices-for-the-treatment-of-dentin-hypersensitivity
#2
Sandra Ribeiro Cunha, Stephanie Assimakopoulos Garófalo, Taís Scaramucci, Denise Maria Zezell, Ana Cecilia Corrêa Aranha
This study aims to evaluate the association between Nd:YAG laser (with and without a photoabsorber) and two desensitizing dentifrices containing 15% NovaMin or 8% arginine, as potential treatments for dentin hypersensitivity (DH). DH was simulated by EDTA application for 2 min. Specimens were then analyzed with an environmental scanning electron microscope (ESEM) to ensure open dentin tubules (ODT), counted by using ImageJ software. Specimens were randomized into eight groups (n = 10): Laser (L), Laser+Photoabsorber (LP), Arginine (A), Arginine+Laser (AL), Arginine+Laser+Photoabsorber (ALP), NovaMin (N), NovaMin+Laser (NL), and NovaMin+Laser+Photoabsorber (NLP)...
March 14, 2017: Lasers in Medical Science
https://www.readbyqxmd.com/read/28270190/social-media-for-arthritis-related-comparative-effectiveness-and-safety-research-and-the-impact-of-direct-to-consumer-advertising
#3
Jeffrey R Curtis, Lang Chen, Phillip Higginbotham, W Benjamin Nowell, Ronit Gal-Levy, James Willig, Monika Safford, Joseph Coe, Kaitlin O'Hara, Roee Sa'adon
BACKGROUND: Social media may complement traditional data sources to answer comparative effectiveness/safety questions after medication licensure. METHODS: The Treato platform was used to analyze all publicly available social media data including Facebook, blogs, and discussion boards for posts mentioning inflammatory arthritis (e.g. rheumatoid, psoriatic). Safety events were self-reported by patients and mapped to medical ontologies, resolving synonyms. Disease and symptom-related treatment indications were manually redacted...
March 7, 2017: Arthritis Research & Therapy
https://www.readbyqxmd.com/read/28268838/visualizing-patient-journals-by-combining-vital-signs-monitoring-and-natural-language-processing
#4
Adnan Vilic, John Asger Petersen, Karsten Hoppe, Helge B D Sorensen
This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients' physiological condition during an admission, which is assessed by electronically monitoring vital signs and then combining these into Early Warning Scores (EWS). Hereafter, techniques from Natural Language Processing (NLP) are applied on the existing patient journal to extract all entries. Finally, the two methods are combined into an interactive timeline featuring the ability to see drastic changes in the patients' health, and thereby enabling staff to see where in the journal critical events have taken place...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28267590/unsupervised-ensemble-ranking-of-terms-in-electronic-health-record-notes-based-on-their-importance-to-patients
#5
Jinying Chen, Hong Yu
BACKGROUND: Allowing patients to access their own electronic health record (EHR) notes through online patient portals has the potential to improve patient-centered care. However, EHR notes contain abundant medical jargon that can be difficult for patients to comprehend. One way to help patients is to reduce information overload and help them focus on medical terms that matter most to them. Targeted education can then be developed to improve patient EHR comprehension and the quality of care...
March 3, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28257498/text-mining-for-improved-exposure-assessment
#6
Kristin Larsson, Simon Baker, Ilona Silins, Yufan Guo, Ulla Stenius, Anna Korhonen, Marika Berglund
Chemical exposure assessments are based on information collected via different methods, such as biomonitoring, personal monitoring, environmental monitoring and questionnaires. The vast amount of chemical-specific exposure information available from web-based databases, such as PubMed, is undoubtedly a great asset to the scientific community. However, manual retrieval of relevant published information is an extremely time consuming task and overviewing the data is nearly impossible. Here, we present the development of an automatic classifier for chemical exposure information...
2017: PloS One
https://www.readbyqxmd.com/read/28254237/prediction-of-advertisement-preference-by-fusing-eeg-response-and-sentiment-analysis
#7
Himaanshu Gauba, Pradeep Kumar, Partha Pratim Roy, Priyanka Singh, Debi Prosad Dogra, Balasubramanian Raman
This paper presents a novel approach to predict rating of video-advertisements based on a multimodal framework combining physiological analysis of the user and global sentiment-rating available on the internet. We have fused Electroencephalogram (EEG) waves of user and corresponding global textual comments of the video to understand the user's preference more precisely. In our framework, the users were asked to watch the video-advertisement and simultaneously EEG signals were recorded. Valence scores were obtained using self-report for each video...
February 16, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28241760/early-recognition-of-multiple-sclerosis-using-natural-language-processing-of-the-electronic-health-record
#8
Herbert S Chase, Lindsey R Mitrani, Gabriel G Lu, Dominick J Fulgieri
BACKGROUND: Diagnostic accuracy might be improved by algorithms that searched patients' clinical notes in the electronic health record (EHR) for signs and symptoms of diseases such as multiple sclerosis (MS). The focus this study was to determine if patients with MS could be identified from their clinical notes prior to the initial recognition by their healthcare providers. METHODS: An MS-enriched cohort of patients with well-established MS (n = 165) and controls (n = 545), was generated from the adult outpatient clinic...
February 28, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28241060/nematode-neuropeptides-as-transgenic-nematicides
#9
Neil D Warnock, Leonie Wilson, Cheryl Patten, Colin C Fleming, Aaron G Maule, Johnathan J Dalzell
Plant parasitic nematodes (PPNs) seriously threaten global food security. Conventionally an integrated approach to PPN management has relied heavily on carbamate, organophosphate and fumigant nematicides which are now being withdrawn over environmental health and safety concerns. This progressive withdrawal has left a significant shortcoming in our ability to manage these economically important parasites, and highlights the need for novel and robust control methods. Nematodes can assimilate exogenous peptides through retrograde transport along the chemosensory amphid neurons...
February 2017: PLoS Pathogens
https://www.readbyqxmd.com/read/28228830/optic-disc-and-macular-imaging-in-blind-eyes-from-non-glaucomatous-optic-neuropathy-a-study-with-spectral-domain-optical-coherence-tomography
#10
Linda Hansapinyo, Andy C O Cheng, Noel C Y Chan, Carmen K M Chan
The purpose of this study was to determine and compare the optic disc and macular thickness measurements using two spectral-domain optical coherence tomography (SD-OCT) instruments in long-standing blind eyes diagnosed with non-glaucomatous optic neuropathies (NGON). A prospective observational case-series design was used. Twelve eyes from 12 NGON patients with no light perception for at least 6 months underwent optic disc and macular imaging with Cirrus HD-OCT and Spectralis OCT. The correlation between the peripapillary retinal nerve fibre layer (PRNFL) and macular ganglion cell layer and inner plexiform layer (GCL+IPL) thicknesses, and between the duration of no light perception (NLP) and PRNFL/GCL+IPL thicknesses were determined using Spearman's correlation analysis...
February 2017: Neuro-ophthalmology
https://www.readbyqxmd.com/read/28227035/visualizing-patient-journals-by-combining-vital-signs-monitoring-and-natural-language-processing
#11
Adnan Vilic, John Asger Petersen, Karsten Hoppe, Helge B D Sorensen, Adnan Vilic, John Asger Petersen, Karsten Hoppe, Helge B D Sorensen, John Asger Petersen, Adnan Vilic, Karsten Hoppe, Helge B D Sorensen
This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients' physiological condition during an admission, which is assessed by electronically monitoring vital signs and then combining these into Early Warning Scores (EWS). Hereafter, techniques from Natural Language Processing (NLP) are applied on the existing patient journal to extract all entries. Finally, the two methods are combined into an interactive timeline featuring the ability to see drastic changes in the patients' health, and thereby enabling staff to see where in the journal critical events have taken place...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28214044/enhancement-of-antigen-specific-cd4-and-cd8-t-cell-responses-using-a-self-assembled-biologic-nanolipoprotein-particle-vaccine
#12
Dina Weilhammer, Alexis D Dunkle, Craig D Blanchette, Nicholas O Fischer, Michele Corzett, Doerte Lehmann, Tyler Boone, Paul Hoeprich, Adam Driks, Amy Rasley
To address the need for vaccine platforms that induce robust cell-mediated immunity, we investigated the potential of utilizing self-assembling biologic nanolipoprotein particles (NLPs) as an antigen and adjuvant delivery system to induce antigen-specific murine T cell responses. We utilized OT-I and OT-II TCR-transgenic mice to investigate the effects of NLP-mediated delivery of the model antigen ovalbumin (OVA) on T cell activation. Delivery of OVA with the TLR4 agonist monophosphoryl lipid A (MPLA) in the context of NLPs significantly enhanced the activation of both CD4(+) and CD8(+) T cells in vitro compared to co-administration of free OVA and MPLA...
February 14, 2017: Vaccine
https://www.readbyqxmd.com/read/28202720/interacting-tcp-and-nlp-transcription-factors-control-plant-responses-to-nitrate-availability
#13
Peizhu Guan, Juan-José Ripoll, Renhou Wang, Lam Vuong, Lindsay J Bailey-Steinitz, Dening Ye, Nigel M Crawford
Plants have evolved adaptive strategies that involve transcriptional networks to cope with and survive environmental challenges. Key transcriptional regulators that mediate responses to environmental fluctuations in nitrate have been identified; however, little is known about how these regulators interact to orchestrate nitrogen (N) responses and cell-cycle regulation. Here we report that teosinte branched1/cycloidea/proliferating cell factor1-20 (TCP20) and NIN-like protein (NLP) transcription factors NLP6 and NLP7, which act as activators of nitrate assimilatory genes, bind to adjacent sites in the upstream promoter region of the nitrate reductase gene, NIA1, and physically interact under continuous nitrate and N-starvation conditions...
February 28, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28163196/extraction-of-left-ventricular-ejection-fraction-information-from-various-types-of-clinical-reports
#14
Youngjun Kim, Jennifer H Garvin, Mary K Goldstein, Tammy S Hwang, Andrew Redd, Dan Bolton, Paul A Heidenreich, Stéphane M Meystre
Efforts to improve the treatment of congestive heart failure, a common and serious medical condition, include the use of quality measures to assess guideline-concordant care. The goal of this study is to identify left ventricular ejection fraction (LVEF) information from various types of clinical notes, and to then use this information for heart failure quality measurement. We analyzed the annotation differences between a new corpus of clinical notes from the Echocardiography, Radiology, and Text Integrated Utility package and other corpora annotated for natural language processing (NLP) research in the Department of Veterans Affairs...
February 2, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28152842/measuring-adherence-to-a-choosing-wisely-recommendation-in-a-regional-oncology-clinic
#15
Gary H Lyman, Karma L Kreizenbeck, Catherine R Fedorenko, April Alfiler, Heather Noble, Tracy Kusnir-Wong, Ada Mohedano, F Marc Stewart, Benjamin E Greer, Scott David Ramsey
196 Background: Natural language processing (NLP) has the potential to significantly ease the burden of manual abstraction of unstructured electronic text when measuring adherence to national guidelines. We incorporated NLP into standard data processing techniques such as manual abstraction and database queries in order to more efficiently evaluate a regional oncology clinic's adherence to ASCO's Choosing Wisely colony stimulating factor (CSF) recommendation using clinical, billing, and cancer registry data...
March 2016: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
https://www.readbyqxmd.com/read/28140627/performance-of-a-machine-learning-classifier-of-knee-mri-reports-in-two-large-academic-radiology-practices-a-tool-to-estimate-diagnostic-yield
#16
Saeed Hassanpour, Curtis P Langlotz, Timothy J Amrhein, Nicholas T Befera, Matthew P Lungren
OBJECTIVE: The purpose of this study is to evaluate the performance of a natural language processing (NLP) system in classifying a database of free-text knee MRI reports at two separate academic radiology practices. MATERIALS AND METHODS: An NLP system that uses terms and patterns in manually classified narrative knee MRI reports was constructed. The NLP system was trained and tested on expert-classified knee MRI reports from two major health care organizations...
April 2017: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/28115773/optimal-synthesis-and-design-of-the-number-of-cycles-in-the-leaching-process-for-surimi-production
#17
M Agustina Reinheimer, Nicolás J Scenna, Sergio F Mussati
Water consumption required during the leaching stage in the surimi manufacturing process strongly depends on the design and the number and size of stages connected in series for the soluble protein extraction target, and it is considered as the main contributor to the operating costs. Therefore, the optimal synthesis and design of the leaching stage is essential to minimize the total annual cost. In this study, a mathematical optimization model for the optimal design of the leaching operation is presented. Precisely, a detailed Mixed Integer Nonlinear Programming (MINLP) model including operating and geometric constraints was developed based on our previous optimization model (NLP model)...
December 2016: Journal of Food Science and Technology
https://www.readbyqxmd.com/read/28111640/identifying-peripheral-arterial-disease-cases-using-natural-language-processing-of-clinical-notes
#18
Naveed Afzal, Sunghwan Sohn, Sara Abram, Hongfang Liu, Iftikhar J Kullo, Adelaide M Arruda-Olson
Peripheral arterial disease (PAD) is a chronic disease that affects millions of people worldwide. Ascertaining PAD status from clinical notes by manual chart review is labor intensive and time consuming. In this paper, we describe a natural language processing (NLP) algorithm for automated ascertainment of PAD status from clinical notes using predetermined criteria. We developed and evaluated our system against a gold standard that was created by medical experts based on manual chart review. Our system ascertained PAD status from clinical notes with high sensitivity (0...
February 2016: ... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28110950/vancomycin-associated-hemorrhagic-occlusive-retinal-vasculitis-clinical-characteristics-of-36-eyes
#19
Andre J Witkin, David F Chang, J Michael Jumper, Steve Charles, Dean Eliott, Richard S Hoffman, Nick Mamalis, Kevin M Miller, Charles C Wykoff
PURPOSE: To expand understanding of presentation, diagnosis, and outcomes of hemorrhagic occlusive retinal vasculitis (HORV). DESIGN: Retrospective case series. PARTICIPANTS: Thirty-six eyes of 23 patients. METHODS: The American Society of Cataract and Refractive Surgery (ASCRS) and the American Society of Retina Specialists (ASRS) formed a joint task force to define clinical characteristics of HORV and to study its prevalence, cause, treatment, and outcomes...
January 19, 2017: Ophthalmology
https://www.readbyqxmd.com/read/28102432/synthesis-of-human-parainfluenza-virus-4-nucleocapsid-like-particles-in-yeast-and-their-use-for-detection-of-virus-specific-antibodies-in-human-serum
#20
Aistė Bulavaitė, Rita Lasickienė, Paulius Lukas Tamošiūnas, Martynas Simanavičius, Kęstutis Sasnauskas, Aurelija Žvirblienė
The aim of this study was to produce human parainfluenza virus type 4 (HPIV4) nucleocapsid (N) protein in yeast Saccharomyces cerevisiae expression system, to explore its structural and antigenic properties and to evaluate its applicability in serology. The use of an optimized gene encoding HPIV4 N protein amino acid (aa) sequence GenBank AGU90031.1 allowed high yield of recombinant N protein forming nucleocapsid-like particles (NLPs) in yeast. A substitution L332D disrupted self-assembly of NLPs, confirming the role of this position in the N proteins of Paramyxovirinae...
January 19, 2017: Applied Microbiology and Biotechnology
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