keyword
MENU ▼
Read by QxMD icon Read
search

"Big data"

keyword
https://www.readbyqxmd.com/read/28930593/precision-medicine-of-frontotemporal-dementia-from-genotype-to-phenotype
#1
Xiang-Qian Che, Ning Song, Ying Gao, Ru-Jing Ren, Gang Wang
Frontotemporal dementia (FTD) is the second most common neurodegenerative  cause of early-onset dementia. FTD has an important genetic component contributing to its pathogenic mechanisms. Currently, extensive research on neuroimaging biomarkers and neurochemical biomarkers in FTD is being conducted to address the clinical need for a sensitive and specific diagnostic marker. Here, we review the advances in genetics, biomarkers and treatment of FTD and how this may represent a shift towards precision medicine...
January 1, 2018: Frontiers in Bioscience (Landmark Edition)
https://www.readbyqxmd.com/read/28927332/qualitative-and-quantitative-feedback-in-the-context-of-competency-based-education
#2
Ara Tekian, Christopher J Watling, Trudie E Roberts, Yvonne Steinert, John Norcini
Research indicates the importance and usefulness of feedback, yet with the shift of medical curricula toward competencies, feedback is not well understood in this context. This paper attempts to identify how feedback fits within a competency-based curriculum. After careful consideration of the literature, the following conclusions are drawn: (1) Because feedback is predicated on assessment, the assessment should be designed to optimize and prevent inaccuracies in feedback; (2) Giving qualitative feedback in the form of a conversation would lend credibility to the feedback, address emotional obstacles and create a context in which feedback is comfortable; (3) Quantitative feedback in the form of individualized data could fulfill the demand for more feedback, help students devise strategies on how to improve, allow students to compare themselves to their peers, recognizing that big data have limitations; and (4) Faculty development needs to incorporate and promote cultural and systems changes with regard to feedback...
September 19, 2017: Medical Teacher
https://www.readbyqxmd.com/read/28925997/precision-annotation-of-digital-samples-in-ncbi-s-gene-expression-omnibus
#3
Dexter Hadley, James Pan, Osama El-Sayed, Jihad Aljabban, Imad Aljabban, Tej D Azad, Mohamad O Hadied, Shuaib Raza, Benjamin Abhishek Rayikanti, Bin Chen, Hyojung Paik, Dvir Aran, Jordan Spatz, Daniel Himmelstein, Maryam Panahiazar, Sanchita Bhattacharya, Marina Sirota, Mark A Musen, Atul J Butte
The Gene Expression Omnibus (GEO) contains more than two million digital samples from functional genomics experiments amassed over almost two decades. However, individual sample meta-data remains poorly described by unstructured free text attributes preventing its largescale reanalysis. We introduce the Search Tag Analyze Resource for GEO as a web application (http://STARGEO.org) to curate better annotations of sample phenotypes uniformly across different studies, and to use these sample annotations to define robust genomic signatures of disease pathology by meta-analysis...
September 19, 2017: Scientific Data
https://www.readbyqxmd.com/read/28925893/big-data-analyses-for-continuous-evaluation-of-pharmacotherapy-a-proof-of-principle-with-doxapram-in-preterm-infants
#4
Robert Flint, Willem van Weteringen, Swantje Völler, Jarinda A Poppe, Birgit Cp Koch, Ronald de Groot, Dick Tibboel, Catherijne Aj Knibbe, Irwin Km Reiss, Sinno Hp Simons
BACKGROUND: Drug effect evaluation is often based on subjective interpretation of a selection of patient data. Continuous analyses of high frequency patient monitor data are a valuable source to measure drug effects. However, these have not yet been fully explored in clinical care. We aim to evaluate the usefulness and applicability of high frequency physiological data for analyses of pharmacotherapy. METHODS: As a proof of principle, the effects of doxapram, a respiratory stimulant, on the oxygenation in preterm infants were studied...
September 18, 2017: Current Pharmaceutical Design
https://www.readbyqxmd.com/read/28925590/analytic-methods-for-evaluating-patterns-of-multiple-congenital-anomalies-in-birth-defect-registries
#5
REVIEW
A J Agopian, Jane A Evans, Philip J Lupo
BACKGROUND: It is estimated that 20 to 30% of infants with birth defects have two or more birth defects. Among these infants with multiple congenital anomalies (MCA), co-occurring anomalies may represent either chance (i.e., unrelated etiologies) or pathogenically associated patterns of anomalies. While some MCA patterns have been recognized and described (e.g., known syndromes), others have not been identified or characterized. Elucidating these patterns may result in a better understanding of the etiologies of these MCAs...
September 19, 2017: Birth defects research
https://www.readbyqxmd.com/read/28924330/manufacturing-data-analytics-using-a-virtual-factory-representation
#6
Sanjay Jain, Guodong Shao, Seung-Jun Shin
Large manufacturers have been using simulation to support decision-making for design and production. However, with the advancement of technologies and the emergence of big data, simulation can be utilised to perform and support data analytics for associated performance gains. This requires not only significant model development expertise, but also huge data collection and analysis efforts. This paper presents an approach within the frameworks of Design Science Research Methodology and prototyping to address the challenge of increasing the use of modelling, simulation and data analytics in manufacturing via reduction of the development effort...
2017: International Journal of Production Economics
https://www.readbyqxmd.com/read/28922596/privileged-substructures-to-modulate-protein-protein-interactions
#7
Nicolas Bosc, Mélaine A Kuenemann, Jérome Bécot, Marek Vavrusa, Adrien H Cerdan, Olivier Sperandio
Given the difficulties to identify chemical probes that can modulate protein-protein interactions (PPIs), actors in the field start to agree on the necessity to use PPI-tailored screening chemical collections. However, which type of scaffolds may promote the binding of compounds to PPI targets remains unclear. In this big data analysis, we have identified a list of privileged chemical substructures that are most often observed within inhibitors of PPIs. Using molecular frameworks as a way to perceive chemical substructures with the combination of an experimental and a machine-learning based predicted dataset of iPPI compounds, we propose a list of privileged substructures in the form of scaffolds and chemical moieties that can be substantially chemically functionalized and do not present any toxicophore nor Pan-assay interference (PAINS) alerts...
September 18, 2017: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/28920910/online-density-estimation-of-nonstationary-sources-using-exponential-family-of-distributions
#8
Kaan Gokcesu, Suleyman S Kozat
We investigate online probability density estimation (or learning) of nonstationary (and memoryless) sources using exponential family of distributions. To this end, we introduce a truly sequential algorithm that achieves Hannan-consistent log-loss regret performance against true probability distribution without requiring any information about the observation sequence (e.g., the time horizon T and the drift of the underlying distribution C) to optimize its parameters. Our results are guaranteed to hold in an individual sequence manner...
September 13, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28919931/improving-hierarchical-models-using-historical-data-with-applications-in-high-throughput-genomics-data-analysis
#9
Ben Li, Yunxiao Li, Zhaohui S Qin
Modern high-throughput biotechnologies such as microarray and next generation sequencing produce a massive amount of information for each sample assayed. However, in a typical high-throughput experiment, only limited amount of data are observed for each individual feature, thus the classical 'large p, small n' problem. Bayesian hierarchical model, capable of borrowing strength across features within the same dataset, has been recognized as an effective tool in analyzing such data. However, the shrinkage effect, the most prominent feature of hierarchical features, can lead to undesirable over-correction for some features...
June 2017: Statistics in Biosciences
https://www.readbyqxmd.com/read/28918672/protein-complexes-big-data-machine-learning-and-integrative-proteomics-lessons-learned-over-a-decade-of-systematic-analysis-of-protein-interaction-networks
#10
Pierre C Havugimana, Pingzhao Hu, Andrew Emili
Elucidation of the networks of physical (functional) interactions present in cells and tissues is fundamental for understanding the molecular organization of biological systems, the mechanistic basis of essential and disease-related processes, and for functional annotation of previously uncharacterized proteins (via guilt-by-association or -correlation). After a decade in the field, we felt it timely to document our own experiences in the systematic analysis of protein interaction networks. Areas covered: Researchers worldwide have contributed innovative experimental and computational approaches that have driven the rapidly evolving field of 'functional proteomics'...
September 18, 2017: Expert Review of Proteomics
https://www.readbyqxmd.com/read/28918390/a-glossary-for-big-data-in-population-and-public-health-discussion-and-commentary-on-terminology-and-research-methods
#11
Daniel Fuller, Richard Buote, Kevin Stanley
The volume and velocity of data are growing rapidly and big data analytics are being applied to these data in many fields. Population and public health researchers may be unfamiliar with the terminology and statistical methods used in big data. This creates a barrier to the application of big data analytics. The purpose of this glossary is to define terms used in big data and big data analytics and to contextualise these terms. We define the five Vs of big data and provide definitions and distinctions for data mining, machine learning and deep learning, among other terms...
September 16, 2017: Journal of Epidemiology and Community Health
https://www.readbyqxmd.com/read/28915865/informed-consent-and-registry-based-research-the-case-of-the-danish-circumcision-registry
#12
Thomas Ploug, Søren Holm
BACKGROUND: Research into personal health data holds great potential not only for improved treatment but also for economic growth. In these years many countries are developing policies aimed at facilitating such research often under the banner of 'big data'. A central point of debate is whether the secondary use of health data requires informed consent if the data is anonymised. In 2013 the Danish Minister of Health established a new register collecting data about all ritual male childhood circumcisions in Denmark...
September 15, 2017: BMC Medical Ethics
https://www.readbyqxmd.com/read/28914775/new-methods-to-address-old-challenges-the-use-of-administrative-data-for-longitudinal-replication-studies-of-child-maltreatment
#13
Emily Hurren, Anna Stewart, Susan Dennison
Administrative data are crucial to the "big data" revolution of social science and have played an important role in the development of child maltreatment research. These data are also of value to administrators, policy makers, and clinicians. The focus of this paper is the use of administrative data to produce and replicate longitudinal studies of child maltreatment. Child protection administrative data have several advantages. They are often population-based, and allow longitudinal examination of child maltreatment and complex multi-level analyses...
September 15, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28913771/criminal-prohibition-of-wrongful-re%C3%A2-identification-legal-solution-or-minefield-for-big-data
#14
Mark Phillips, Edward S Dove, Bartha M Knoppers
The collapse of confidence in anonymization (sometimes also known as de-identification) as a robust approach for preserving the privacy of personal data has incited an outpouring of new approaches that aim to fill the resulting trifecta of technical, organizational, and regulatory privacy gaps left in its wake. In the latter category, and in large part due to the growth of Big Data-driven biomedical research, falls a growing chorus of calls for criminal and penal offences to sanction wrongful re-identification of "anonymized" data...
September 14, 2017: Journal of Bioethical Inquiry
https://www.readbyqxmd.com/read/28913177/big-data-in-designing-clinical-trials-opportunities-and-challenges
#15
Charles S Mayo, Martha M Matuszak, Matthew J Schipper, Shruti Jolly, James A Hayman, Randall K Ten Haken
Emergence of big data analytics resource systems (BDARSs) as a part of routine practice in Radiation Oncology is on the horizon. Gradually, individual researchers, vendors, and professional societies are leading initiatives to create and demonstrate use of automated systems. What are the implications for design of clinical trials, as these systems emerge? Gold standard, randomized controlled trials (RCTs) have high internal validity for the patients and settings fitting constraints of the trial, but also have limitations including: reproducibility, generalizability to routine practice, infrequent external validation, selection bias, characterization of confounding factors, ethics, and use for rare events...
2017: Frontiers in Oncology
https://www.readbyqxmd.com/read/28906244/hearing-aid-use-and-mild-hearing-impairment-learnings-from-big-data
#16
Barbra H B Timmer, Louise Hickson, Stefan Launer
BACKGROUND: Previous research, mostly reliant on self-reports, has indicated that hearing aid (HA) use is related to the degree of hearing impairment (HI). No large-scale investigation of the relationship between data-logged HA use and HI has been conducted to date. PURPOSE: This study aimed to investigate if objective measures of overall daily HA use and HA use in various listening environments are different for adults with mild HI compared to adults with moderate HI...
September 2017: Journal of the American Academy of Audiology
https://www.readbyqxmd.com/read/28905886/time-series-oligonucleotide-count-to-assign-antiviral-sirnas-with-long-utility-fit-in-the-big-data-era
#17
K Wada, Y Wada, Y Iwasaki, T Ikemura
Oligonucleotides are key elements of nucleic acid therapeutics such as small interfering RNAs (siRNAs). Influenza and Ebolaviruses are zoonotic RNA viruses mutating very rapidly, and their sequence changes must be characterized intensively to design therapeutic oligonucleotides with long utility. Focusing on a total of 182 experimentally validated siRNAs for influenza A, B and Ebolaviruses compiled by the siRNA database, we conducted time-series analyses of occurrences of siRNA targets in these viral genomes...
September 14, 2017: Gene Therapy
https://www.readbyqxmd.com/read/28903886/patient-privacy-in-the-era-of-big-data
#18
Mehmet Kayaalp
Privacy was defined as a fundamental human right in the Universal Declaration of Human Rights at the 1948 United Nations General Assembly. However, there is still no consensus on what constitutes privacy. In this review, we look at the evolution of privacy as a concept from the era of Hippocrates to the era of social media and big data. To appreciate the modern measures of patient privacy protection and correctly interpret the current regulatory framework in the United States, we need to analyze and understand the concepts of individually identifiable information, individually identifiable health information, protected health information (PHI), and de-identification...
September 13, 2017: Balkan Medical Journal
https://www.readbyqxmd.com/read/28901885/teaching-and-researching-the-history-of-medicine-in-the-era-of-big-data-reflections
#19
Frederick W Gibbs, Jeffrey S Reznick
No abstract text is available yet for this article.
October 2017: Medical History
https://www.readbyqxmd.com/read/28899706/big-data-and-machine-learning-a-resident-s-perspective-of-the-2016-intersociety-conference
#20
David C Gimarc, Alexander S Misono
No abstract text is available yet for this article.
September 9, 2017: Journal of the American College of Radiology: JACR
keyword
keyword
30503
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"