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# Data Mining

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#1
Paul Monsarrat, Jean-Noel Vergnes
March 14, 2018: Bioinformatics
#2
Xia Yang, Han-Lin Wang, Hai-Wei Liang, Liang Liang, Dong-Yue Wen, Rui Zhang, Gang Chen, Dan-Ming Wei
Increasing evidence has demonstrated that microRNA (miR)-449a expression is reduced in various types of tumors and that it serves as a tumor suppressor. However, the molecular mechanism of miR-449a in hepatocellular carcinoma (HCC) has not been thoroughly elucidated and is disputed. Therefore, the aim of the present work was to systematically review the current literature and to utilize the public Gene Expression Omnibus database to determine the role of miR-449a and its significance in HCC. A total of eight original papers and seven microarrays were included in the present study...
April 2018: Experimental and Therapeutic Medicine
#3
Graziela de Sá Machado Araújo, Ronaldo da Silva Francisco Junior, Cristina Dos Santos Ferreira, Pedro Thyago Mozer Rodrigues, Douglas Terra Machado, Thais Louvain de Souza, Jozimara Teixeira de Souza, Cleiton Figueiredo Osorio da Silva, Antônio Francisco Alves da Silva, Claudia Caixeta Franco Andrade, Alan Tardin da Silva, Victor Ramos, Ana Beatriz Garcia, Filipe Brum Machado, Enrique Medina-Acosta
A hallmark of imprinted genes in mammals is the occurrence of parent-of-origin-dependent asymmetry of DNA cytosine methylation (5m C) of alleles at CpG islands (CGIs) in their promoter regions. This 5m CpG asymmetry between the parental alleles creates allele-specific imprinted differentially methylated regions (iDMRs). iDMRs are often coupled to the transcriptional repression of the methylated allele and the activation of the unmethylated allele in a tissue-specific, developmental-stage-specific and/or isoform-specific fashion...
2018: Frontiers in Genetics
#4
REVIEW
The job of the diagnostic radiologist is two-fold: identifying and interpreting the information available from diagnostic imaging studies and communicating that interpretation meaningfully to the referring clinician. However skilled our interpretive abilities, our patients are not well served if we fail to convey our conclusions effectively. Despite the central importance of communication skills to the work of radiologists, trainees rarely receive significant formal training in reporting skills, and much of the training given simply reflects the trainer's personal preferences...
March 14, 2018: Insights Into Imaging
#5
Mei Wang, Vijayasankar Raman, Jianping Zhao, Bharathi Avula, Yan-Hong Wang, Philip L Wylie, Ikhlas A Khan
Correct identification of the true bay leaf ( Laurus nobilis ) and its substitutes is important not only for the quality control of the products, but also for the safety of the consumers. L. nobilis is often substituted or confused with other species, such as Cinnamomum tamala, Pimenta racemosa, Syzygium polyanthum , and Umbellularia californica. In the present study, the potential of gas chromatography combined with quadrupole time-of-flight mass spectrometry for the profiling of various bay leaf products was evaluated for the first time...
March 14, 2018: Planta Medica
#6
E Byrne, E Elliott, R Saltus, J Angharad
Background: We propose that arts based methodologies can be of value in the production and exchange of evidence in supporting public health related policy. This article reports on a collaborative piece of work resulting from two projects which took place in a former coal mining town in South Wales. Methods: We used a participatory framework whereby researchers, community members and artists co-produced 'evidence' through the creative arts to inform public policy...
March 1, 2018: Journal of Public Health
#7
Keisuke Takahashi
Prediction of the magnetic moment of binary body centered cubic (BCC) is explored in terms of first principle calculations and data science. A dataset of 1,541 binary BCC materials constructed by first principle calculations is implemented for data mining. Descriptors for determining the magnetic moment are explored using machine learning, where classification and regression models are both implemented. Data mining reveals that two descriptors are responsible for classifying whether the materials have zero or nonzero magnetic moments and can also classify which groups of magnetic moments they belong to ($\mu_{B}$ $<$ 1, 1 $\leq$ $\mu_{B}$ $<$2,or 2 $\leq$ $\mu_{B}$ $<$ 3) where the average scores produced in cross validation indicate 80$\%$ and 91$\%$ accuracy, respectively...
March 14, 2018: Chemphyschem: a European Journal of Chemical Physics and Physical Chemistry
#8
A Jacobs, C Doran, D S Murray, J Duffill Telsnig, K L Laskowski, N A R Jones, S K Auer, K Praebel
Many fish species face increasing challenges associated with climate change and overfishing. At the same time, aquaculture is becoming vital for food security. Gaining a deeper understanding of the basic biology of fish is therefore more important than ever. Here we synthesize and summarize key questions, opportunities and challenges in fish biology highlighted during a round-table discussion at the 50th Anniversary Symposium of The Fisheries Society of the British Isles, held at the University of Exeter, U...
March 2018: Journal of Fish Biology
#9
Dolly A Parasrampuria, Leslie Z Benet, Amarnath Sharma
New drug development is both resource and time intensive, where later clinical stages result in significant costs. We analyze recent late-stage failures to identify drugs where failures result from inadequate scientific advances as well as drugs where we believe pitfalls could have been avoided. These can be broadly classified into two categories: 1) where science is mature and the failures can be avoided through rigorous and prospectively determined decision-making criteria, scientific curiosity, and discipline to follow up on emerging findings; and 2) where problems encountered in Phase 3 failures cannot be explained at this time, as the science is not sufficiently advanced and companies/investigators need to recognize the possibility of deficiency of our knowledge...
March 13, 2018: AAPS Journal
#10
Niloofar Yousefi Moteghaed, Keivan Maghooli, Masoud Garshasbi
Background: Gene expression data are characteristically high dimensional with a small sample size in contrast to the feature size and variability inherent in biological processes that contribute to difficulties in analysis. Selection of highly discriminative features decreases the computational cost and complexity of the classifier and improves its reliability for prediction of a new class of samples. Methods: The present study used hybrid particle swarm optimization and genetic algorithms for gene selection and a fuzzy support vector machine (SVM) as the classifier...
January 2018: Journal of Medical Signals and Sensors
#11
Nathalie Harder, Maria Athelogou, Harald Hessel, Nicolas Brieu, Mehmet Yigitsoy, Johannes Zimmermann, Martin Baatz, Alexander Buchner, Christian G Stief, Thomas Kirchner, Gerd Binnig, Günter Schmidt, Ralf Huss
Tissue Phenomics is the discipline of mining tissue images to identify patterns that are related to clinical outcome providing potential prognostic and predictive value. This involves the discovery process from assay development, image analysis, and data mining to the final interpretation and validation of the findings. Importantly, this process is not linear but allows backward steps and optimization loops over multiple sub-processes. We provide a detailed description of the Tissue Phenomics methodology while exemplifying each step on the application of prostate cancer recurrence prediction...
March 13, 2018: Scientific Reports
#12
Saadet Ufuk Yurdalan, Begüm Ünlü, Mine Seyyah, Batuhan Şenyıldız, Yunus Kubilay Çetin, Menekşe Çimen
BACKGROUND: Burns can cause life-threatening injuries and severe limitations. This study aimed to evaluate the effects of the structured home-based exercise program on depression status and quality of life in burn patients. MATERIALS AND METHODS: This study was carried out in the Wound and Burn Treatment Department of University of Health Sciences, Dr. Lütfi Kırdar Kartal Education and Research Hospital, Istanbul. Thirty burn patients voluntarily participated in this study...
March 10, 2018: Burns: Journal of the International Society for Burn Injuries
#13
Khansoudaphone Phakhounthong, Pimwadee Chaovalit, Podjanee Jittamala, Stuart D Blacksell, Michael J Carter, Paul Turner, Kheng Chheng, Soeung Sona, Varun Kumar, Nicholas P J Day, Lisa J White, Wirichada Pan-Ngum
BACKGROUND: Dengue fever is a re-emerging viral disease commonly occurring in tropical and subtropical areas. The clinical features and abnormal laboratory test results of dengue infection are similar to those of other febrile illnesses; hence, its accurate and timely diagnosis for providing appropriate treatment is difficult. Delayed diagnosis may be associated with inappropriate treatment and higher risk of death. Early and correct diagnosis can help improve case management and optimise the use of resources such as hospital staff, beds, and intensive care equipment...
March 13, 2018: BMC Pediatrics
#14
F Tas, K Erturk
Neurotropism is a feature that is encountered rarely in melanoma and is considered to be associated with increased risk of local recurrence. However, its prognostic significance still remains controversial. The objective of this study was to deter- mine the clinical significance of neurotropism in cutaneous melanoma patients. A total of 519 cutaneous melanoma patients were enrolled into this study and their data were analyzed in a retrospective fashion. The melanomas without neurotro- pism (n=496; 95.6%) were larger in number than those with neurotropism (n=23; 4...
2018: Neoplasma
#15
Igor Mozetič, Luis Torgo, Vitor Cerqueira, Jasmina Smailović
Social media are becoming an increasingly important source of information about the public mood regarding issues such as elections, Brexit, stock market, etc. In this paper we focus on sentiment classification of Twitter data. Construction of sentiment classifiers is a standard text mining task, but here we address the question of how to properly evaluate them as there is no settled way to do so. Sentiment classes are ordered and unbalanced, and Twitter produces a stream of time-ordered data. The problem we address concerns the procedures used to obtain reliable estimates of performance measures, and whether the temporal ordering of the training and test data matters...
2018: PloS One
#16
Samantha Tayne, Christian A Merrill, Rajeev C Saxena, Caitlin King, Karthik Devarajan, Stefan Ianchulev, Jon Chilingerian
Given the rising costs of healthcare delivery and reimbursement constraints, large academic medical centers (AMCs) must improve efficiency while delivering high-quality care. With standardized cases and high volumes, ambulatory surgery is a high-value target for efficiency improvement. Mining a data set of more than 7,500 cases consisting of the three highest-volume ambulatory procedures in orthopedics, otolaryngology-head and neck surgery, and urology, we analyzed process times and wait times involved in patient flow...
March 2018: Journal of Healthcare Management / American College of Healthcare Executives
#17
Jana Kisková, Zuzana Perháčová, Ladislav Vlčko, Jana Sedláková, Simona Kvasnová, Peter Pristaš
Although neutral mine drainage is the less frequent subject of the interest than acid mine drainage, it can have adverse environmental effects caused mainly by precipitation of dissolved Fe. The aim of the study was to characterize the composition of bacterial population in environment with high concentration of iron and sulfur compounds represented by neutral mine drainage water of Elizabeth's shaft, Slovinky (Slovakia). Direct microscopic observations, cultivation methods, and 454 pyrosequencing of the 16S rRNA gene amplicons were used to examine the bacterial population...
March 12, 2018: Current Microbiology
#18
Daisuke Ogawa, Eiji Yamamoto, Toshikazu Ohtani, Noriko Kanno, Hiroshi Tsunematsu, Yasunori Nonoue, Masahiro Yano, Toshio Yamamoto, Jun-Ichi Yonemaru
Multi-parent advanced generation inter-cross (MAGIC) lines have broader genetic variation than bi-parental recombinant inbred lines. Genome-wide association study (GWAS) using high number of DNA polymorphisms such as single-nucleotide polymorphisms (SNPs) is a popular tool for allele mining in MAGIC populations, in which the associations of phenotypes with SNPs are investigated; however, the effects of haplotypes from multiple founders on phenotypes are not considered. Here, we describe an improved method of allele mining using the newly developed Japan-MAGIC (JAM) population, which is derived from eight high-yielding rice cultivars in Japan...
March 12, 2018: Scientific Reports
#19
Florina Haimovici, Janis L Anderson, Gordon W Bates, Catherine Racowsky, Elizabeth S Ginsburg, Dan Simovici, Raina N Fichorova
PROBLEM: Psychiatric disorders and stress in women have been associated with poor IVF outcome. We hypothesized that both partners in the infertile couples are emotionally affected, and cytokines in both may link psychological to reproductive outcome. METHOD OF STUDY: Forty-five IVF couples completed questionnaires and visual analog scales for stress and psychiatric disorders and had cytokines measured in serum, semen, cervicovaginal, and follicular fluids. Multivariable analyses, t tests, maximum likelihood estimates, Spearman correlation, and data mining were applied...
March 12, 2018: American Journal of Reproductive Immunology: AJRI
#20
Yijun Lin, Dimitrios Stripelis, Yao-Yi Chiang, José Luis Ambite, Rima Habre, Fan Pan, Sandrah P Eckel
Air quality models are important for studying the impact of air pollutant on health conditions at a fine spatiotemporal scale. Existing work typically relies on area-specific, expert-selected attributes of pollution emissions (e,g., transportation) and dispersion (e.g., meteorology) for building the model for each combination of study areas, pollutant types, and spatiotemporal scales. In this paper, we present a data mining approach that utilizes publicly available OpenStreetMap (OSM) data to automatically generate an air quality model for the concentrations of fine particulate matter less than 2...
November 2017: Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems: ACM GIS
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