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https://www.readbyqxmd.com/read/29777726/a-novel-approach-to-probabilistic-characterisation-of-neural-firing-patterns
#1
Gorana Mijatović, Tatjana Lončar-Turukalo, Emmanuel Procyk, Dragana Bajić
BACKGROUND: The advances in extracellular neural recording techniques result in big data volumes that necessitate fast, reliable, and automatic identification of statistically similar units. This study proposes a single framework yielding a compact set of probabilistic descriptors that characterise the firing patterns of a single unit. NEW METHOD: Probabilistic features are estimated from an inter-spike-interval time series, without assumptions about the firing distribution or the stationarity...
May 16, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29776524/analysis-of-hourly-crash-likelihood-using-unbalanced-panel-data-mixed-logit-model-and-real-time-driving-environmental-big-data
#2
Feng Chen, Suren Chen, Xiaoxiang Ma
INTRODUCTION: Driving environment, including road surface conditions and traffic states, often changes over time and influences crash probability considerably. It becomes stretched for traditional crash frequency models developed in large temporal scales to capture the time-varying characteristics of these factors, which may cause substantial loss of critical driving environmental information on crash prediction. METHOD: Crash prediction models with refined temporal data (hourly records) are developed to characterize the time-varying nature of these contributing factors...
June 2018: Journal of Safety Research
https://www.readbyqxmd.com/read/29775405/the-mouse-heart-attack-research-tool-mhart-1-0-database
#3
Kristine Y DeLeon-Pennell, Rugmani Padmanabhan Iyer, Yonggang Ma, Andriy Yabluchanskiy, Rogelio Zamilpa, Ying Ann Chiao, Presley Cannon, Courtney Cates, Elizabeth R Flynn, Ganesh V Halade, Lisandra E de Castro Bras, Merry L Lindsey
The generation of Big Data has enabled systems-level dissections into the mechanisms of cardiovascular pathology. Integration of genetic, proteomic, and pathophysiological variables across platforms and laboratories fosters discoveries through multidisciplinary investigations and minimizes unnecessary redundancy in research efforts. The Mouse Heart Attack Research Tool (mHART) consolidates a large dataset of over 10 years of experiments from a single laboratory for cardiovascular investigators to generate novel hypotheses and identify new predictive markers of progressive left ventricular remodeling following myocardial infarction (MI) in mice...
May 18, 2018: American Journal of Physiology. Heart and Circulatory Physiology
https://www.readbyqxmd.com/read/29775383/going-big-data-with-caution
#4
Pat Baird
No abstract text is available yet for this article.
January 2018: Biomedical Instrumentation & Technology
https://www.readbyqxmd.com/read/29774657/cheminformatics-in-drug-discovery-an-industrial-perspective
#5
REVIEW
Hongming Chen, Thierry Kogej, Ola Engkvist
Cheminformatics has established itself as a core discipline within large scale drug discovery operations. It would be impossible to handle the amount of data generated today in a small molecule drug discovery project without persons skilled in cheminformatics. In addition, due to increased emphasis on "Big Data", machine learning and artificial intelligence, not only in the society in general, but also in drug discovery, it is expected that the cheminformatics field will be even more important in the future...
May 18, 2018: Molecular Informatics
https://www.readbyqxmd.com/read/29774460/multi-layer-cube-sampling-for-liver-boundary-detection-in-pet-ct-images
#6
Xinxin Liu, Jian Yang, Shuang Song, Hong Song, Danni Ai, Jianjun Zhu, Yurong Jiang, Yongtian Wang
Liver metabolic information is considered as a crucial diagnostic marker for the diagnosis of fever of unknown origin, and liver recognition is the basis of automatic diagnosis of metabolic information extraction. However, the poor quality of PET and CT images is a challenge for information extraction and target recognition in PET-CT images. The existing detection method cannot meet the requirement of liver recognition in PET-CT images, which is the key problem in the big data analysis of PET-CT images. A novel texture feature descriptor called multi-layer cube sampling (MLCS) is developed for liver boundary detection in low-dose CT and PET images...
May 17, 2018: Australasian Physical & Engineering Sciences in Medicine
https://www.readbyqxmd.com/read/29774310/the-big-data-revolution-for-breast-cancer-patients
#7
EDITORIAL
Issam Ibnouhsein, Stéphane Jankowski, Karl Neuberger, Carole Mathelin
No abstract text is available yet for this article.
April 2018: European Journal of Breast Health
https://www.readbyqxmd.com/read/29771635/pathogenesis-based-treatments-in-primary-sjogren-s-syndrome-using-artificial-intelligence-and-advanced-machine-learning-techniques-a-systematic-literature-review
#8
Nathan Foulquier, Pascal Redou, Christophe Le Gal, Bénédicte Rouvière, Jacques-Olivier Pers, Alain Saraux
Big data analysis has become a common way to extract information from complex and large datasets among most scientific domains. This approach is now used to study large cohorts of patients in medicine. This work is a review of publications that have used artificial intelligence and advanced machine learning techniques to study physio pathogenesis-based treatments in pSS. A systematic literature review retrieved all articles reporting on the use of advanced statistical analysis applied to the study of systemic autoimmune diseases (SADs) over the last decade...
May 17, 2018: Human Vaccines & Immunotherapeutics
https://www.readbyqxmd.com/read/29771590/the-next-big-step-highlighting-the-most-relevant-data-points-for-patient-care
#9
Ranndy Kellogg
No abstract text is available yet for this article.
May 2018: Biomedical Instrumentation & Technology
https://www.readbyqxmd.com/read/29771552/direct-and-conceptual-replications-of-the-taxometric-analysis-of-type-a-behavior
#10
Michael P Wilmot, Nick Haslam, Jingyuan Tian, Deniz S Ones
We present direct and conceptual replications of the influential taxometric analysis of Type A Behavior (TAB; Strube, 1989), which reported evidence for the latent typology of the construct. Study 1, the direct replication (N = 2,373), duplicated sampling and methodological procedures of the original study, but results showed that the item indicators used in the original study lacked sufficient validity to unambiguously determine latent structure. Using improved factorial subscale indicators to further test the question, multiple taxometric procedures, in combination with parallel analyses of simulated data, failed to replicate the original typological finding...
May 17, 2018: Journal of Personality and Social Psychology
https://www.readbyqxmd.com/read/29770661/-genotyping-and-polymorphism-analysis-of-cytochrome-c-oxidase-subunit-%C3%A2-gene-of-pomacea-canaliculata-from-lincang-city-in-yunnan-province
#11
Zhang Cang-Lin, Peng Jia, Ran Zhen, Zi Jin-Rong, Yang Ya-Ming
OBJECTIVE: To analyze the genetic diversity of Pomacea canaliculata based on the mitochondria DNA cytochrome c oxidase subunit Ⅰ (mtDNA COⅠ) gene as a molecular marker in Lincang City of Yunnan Province, so as to provide the scientific data for monitoring Angiostrongylus cantonensis in local areas. METHODS: The genotypes and polymorphisms of 38 specimens of P. canaliculata collected from Mengding Town of Lincang City were analyzed by sequencing COⅠ gene. The phylogenetic tree and genetic distances were produced based on the haplotypes from GenBank and the present study by using the neighbourjoining method with the software MEGA version 6...
March 14, 2018: Zhongguo Xue Xi Chong Bing Fang Zhi za Zhi, Chinese Journal of Schistosomiasis Control
https://www.readbyqxmd.com/read/29769172/privacy-preserving-predictive-modeling-harmonization-of-contextual-embeddings-from-different-sources
#12
Yingxiang Huang, Junghye Lee, Shuang Wang, Jimeng Sun, Hongfang Liu, Xiaoqian Jiang
BACKGROUND: Data sharing has been a big challenge in biomedical informatics because of privacy concerns. Contextual embedding models have demonstrated a very strong representative capability to describe medical concepts (and their context), and they have shown promise as an alternative way to support deep-learning applications without the need to disclose original data. However, contextual embedding models acquired from individual hospitals cannot be directly combined because their embedding spaces are different, and naive pooling renders combined embeddings useless...
May 16, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29766700/health-policy-programs-realised-in-poland-in-2016-2017
#13
Patrycja Kurowska, Anna Królak, Wojciech Giermaziak
Background: Health Policy Program (Program Polityki Zdrowotnej – PPZ) is a state policy tool for engaging local government units into the mechanism of granting provision of health services. Authors show areas in which self-governments most often took preventive health care actions and describe legislative changes in the Act on provision of health services. Objective: The aim of the article is to quantitative and qualitative statement of PPZ prepared in Poland in 2016 and 2017, as well as presenting changing legal situation in the scope of evaluation of these projects...
2018: Roczniki Państwowego Zakładu Higieny
https://www.readbyqxmd.com/read/29766512/structured-radiology-reporting-on-an-institutional-level-benefit-or-new-administrative-burden
#14
REVIEW
Daniel Pinto Dos Santos, Elmar Kotter
Significant technical advances have been made in radiology since the first discovery of X-rays. Diagnostic techniques have become more and more complex, workflows have been digitized, and data production has increased exponentially. However, the radiology report as the main method for communicating examination results has largely remained unchanged. Growing evidence supports that more structured radiology reports offer various benefits over conventional narrative reports. Various efforts have been made to further develop and promote structured reporting...
May 16, 2018: Annals of the New York Academy of Sciences
https://www.readbyqxmd.com/read/29764796/predicting-the-reasons-of-customer-complaints-a-first-step-toward-anticipating-quality-issues-of-in-vitro-diagnostics-assays-with-machine-learning
#15
Stephane Aris-Brosou, James Kim, Li Li, Hui Liu
BACKGROUND: Vendors in the health care industry produce diagnostic systems that, through a secured connection, allow them to monitor performance almost in real time. However, challenges exist in analyzing and interpreting large volumes of noisy quality control (QC) data. As a result, some QC shifts may not be detected early enough by the vendor, but lead a customer to complain. OBJECTIVE: The aim of this study was to hypothesize that a more proactive response could be designed by utilizing the collected QC data more efficiently...
May 15, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29764560/-discussion-of-the-implementation-of-mimic-database-in-emergency-medical-study
#16
Kaiyuan Li, Cong Feng, Lijing Jia, Li Chen, Fei Pan, Tanshi Li
To introduce Medical Information Mart for Intensive Care (MIMIC) database and elaborate the approach of critically emergent research with big data based on the feature of MIMIC and updated studies both domestic and overseas, we put forward the feasibility and necessity of introducing medical big data to research in emergency. Then we discuss the role of MIMIC database in emergency clinical study, as well as the principles and key notes of experimental design and implementation under the medical big data circumstance...
May 2018: Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
https://www.readbyqxmd.com/read/29764543/-experimental-research-on-individual-specific-rapid-potassium-supplementation-strategy-for-fatal-severe-hypokalemia
#17
Yu Du, Yi Mou, Jin Liu
OBJECTIVE: To explore the effectiveness and safety of the individual-specific rapid potassium supplementation strategy, and to provide experimental basis for treating fatal severe hypokalemia. METHODS: An acute fatal severe hypokalemia model was reproduced in 20 healthy adult Japanese big ear white rabbits with half lethal dose (LD50) of barium chloride (BaCl2 ) solution 168 mg×5 mL-1 ×kg-1 . The rabbits were divided into conventional potassium supplementation group and individual-specific rapid potassium supplementation group according to random number table method with 10 rabbits in each group...
May 2018: Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
https://www.readbyqxmd.com/read/29762754/optimized-distributed-systems-achieve-significant-performance-improvement-on-sorted-merging-of-massive-vcf-files
#18
Xiaobo Sun, Jingjing Gao, Peng Jin, Celeste Eng, Esteban G Burchard, Terri H Beaty, Ingo Ruczinski, Rasika A Mathias, Kathleen C Barnes, Fusheng Wang, Zhaohui Qin
Background: Sorted merging of genomic data is a common data operation necessary in many sequencing-based studies. It involves sorting and merging genomic data from different subjects by their genomic locations. In particular, merging a large number of Variant Call Format (VCF) files is frequently required in large scale whole genome sequencing or whole exome sequencing projects. Traditional single machine based methods become increasingly inefficient when processing large numbers of VCF files due to the excessive computation time and I/O bottleneck...
May 11, 2018: GigaScience
https://www.readbyqxmd.com/read/29762634/lineage-associated-underrepresented-permutations-laups-of-mammalian-genomic-sequences-based-on-a-jellyfish-based-laups-analysis-application-jbla
#19
Le Zhang, Ming Xiao, Jingsong Zhou, Jun Yu
Motivation: The present study addresses several important questions related to naturally underrepresented sequences: (1) Are there permutations of real genomic DNA sequences in a defined length (k-mer) and a given lineage that do not actually exist or underrepresented? (2) If there are such sequences, what are their characteristics in terms of k-mer length and base composition? Are they related to CpG or TpA underrepresentation known for human sequences? We propose that the answers to these questions are of great significance for the study of sequence-associated regulatory mechanisms, such cytosine methylation and chromosomal structures in physiological or pathological conditions such as cancer...
May 14, 2018: Bioinformatics
https://www.readbyqxmd.com/read/29762044/the-international-society-for-biological-and-environmental-repositories-presents-abstracts-from-its-annual-meeting-thinking-big-in-texas-seizing-big-opportunities-in-biobanking-through-data-collaboration-and-innovation-may-20-24-2018-dallas-texas
#20
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