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big data analysis

G Maragatham, Shobana Devi
The combination of big data and deep learning is a world-shattering technology that can make a great impact on any industry if used in a proper way. With the availability of large volume of health care datasets and progressions in deep learning techniques, systems are now well equipped in diagnosing many health problems. Utilizing the intensity of substantial historical information in electronic health record (EHR), we built up, a conventional predictive temporal model utilizing recurrent neural systems (RNN) like LSTM and connected to longitudinal time stepped EHR...
March 19, 2019: Journal of Medical Systems
D Beran, R Laing, W Kaplan, R Knox, A Sharma, V J Wirtz, J Frye, M Ewen
AIM: To describe the global insulin market. METHODS: Market intelligence data, United Nations Commodity Trade Statistics for insulin trade, the International Medical Product Price Guide for prices of human insulin and additional web searches were used as data sources. These sources were combined to gain further insight into possible links among market, trade flows and prices. Descriptive statistics and Spearman's rank order correlation were used for the analysis...
March 19, 2019: Diabetic Medicine: a Journal of the British Diabetic Association
Desen Cao, Deyu Li, Zhengbo Zhang, Xiaoli Liu, Hong Liang, Maoqing He, Mengsun Yu
To achieve continuously physiological monitoring on hospital inpatients, a ubiquitous and wearable physiological monitoring system SensEcho was developed. The whole system consists of three parts: a wearable physiological monitoring unit, a wireless network and communication unit and a central monitoring system. The wearable physiological monitoring unit is an elastic shirt with respiratory inductive plethysmography sensor and textile electrocardiogram (ECG) electrodes embedded in, to collect physiological signals of ECG, respiration and posture/activity continuously and ubiquitously...
February 25, 2019: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
Sonia Wróbel, Małgorzata Przybyło, Ewa Stępień
(1) Despite many years of research, melanoma still remains a big challenge for modern medicine. The purpose of this article is to review publicly available clinical trials to find trends regarding the number of trials, their location, and interventions including the most frequently studied drugs and their combinations. (2) We surveyed clinical trials registered in the International Clinical Trials Registry Platform (ICTRP), one of the largest databases on clinical trials. The search was performed on 30 November 2018 using the term "melanoma"...
March 15, 2019: Journal of Clinical Medicine
Bei Li, Jianbin Li, Yuqiao Jiang, Xiaoyun Lan
The construction of medical big data includes several problems that need to be solved, such as integration and data sharing of many heterogeneous information systems, efficient processing and analysis of large-scale medical data with complex structure or low degree of structure, and narrow application range of medical data. Therefore, medical big data construction is not only a simple collection and application of medical data but also a complex systematic project. This paper introduces China's experience in the construction of a regional medical big data ecosystem, including the overall goal of the project; establishment of policies to encourage data sharing; handling the relationship between personal privacy, information security, and information availability; establishing a cooperation mechanism between agencies; designing a polycentric medical data acquisition system; and establishing a large data centre...
March 13, 2019: Journal of Biomedical Informatics
Dong In Suh, Dae Jin Song, Hey-Sung Baek, Meeyong Shin, Young Yoo, Ji-Won Kwon, Gwang Cheon Jang, Hyeon-Jong Yang, Eun Lee, Hwan Soo Kim, Ju-Hee Seo, Sung-Il Woo, Hyung Young Kim, Youn Ho Shin, Ju Suk Lee, Jisun Yoon, Sungsu Jung, Minkyu Han, Eunjin Eom, Jinho Yu, Woo Kyung Kim, Dae Hyun Lim, Jin Tack Kim, Woo-Sung Chang, Jeom-Kyu Lee
BACKGROUND: Asthma is a syndrome composed of heterogeneous disease entities. Although it is agreed that proper asthma endo-typing and appropriate type-specific interventions are crucial in the management of asthma, little data are available regarding pediatric asthma. METHODS: We designed a cluster-based, prospective, observational cohort study of asthmatic children in Korea (Korean childhood Asthma Study [KAS]). A total of 1000 Korean asthmatic children, aged from 5 to 15 years, will be enrolled at the allergy clinics of the 19 regional tertiary hospitals from August 2016 to December 2018...
March 15, 2019: BMC Pulmonary Medicine
Arupendra Mozumdar, Rajib Acharya, Subrato Kumar Mondal, Amit Arun Shah, Niranjan Saggurti
The private (commercial) sector in India can complement public sector for family planning services, but the roadmap to engage these two sectors remains a challenge. The total market approach (TMA) offers a strategy by understanding the comparative advantage of public, commercial, and nonprofit sectors. We estimated TMA indicators using data of four rounds of the National Family Health Surveys: 1992-93, 1998-99, 2005-06, and 2015-16. The contraceptive prevalence of modern methods in India did not increase in recent years, but the number of users increased, and so did the market size for the commercial sector...
March 15, 2019: International Journal of Health Planning and Management
Xin Qin, Hui Liao, Xiaoming Zheng, Xin Liu
The stock market in China has experienced significant turbulence since July 2014, including a bull market. In this paper, we propose that exposure to stock (defined as the condition of being exposed to both stock and stock-related information) can induce anxiety disorder when the market is in a turbulent period. To examine this prediction, we designed two studies in which we operationalized exposure to stock in two different ways. In Study 1, a panel analysis of a longitudinal data set for the Chinese stock market from January 2014 to July 2015 demonstrated that exposure to stock had a significant positive impact on individuals' anxiety disorder, even in a bull market...
2019: Frontiers in Psychology
Gavin Tsang, Xianghua Xie, Shangming Zhou
Dementia is a chronic and degenerative condition affecting millions globally. The care of patients with dementia presents an ever continuing challenge to healthcare systems in the 21st century. Medical and health sciences have generated unprecedented volumes of data related to health and wellbeing for patients with dementia due to advances in information technology, such as genetics, neuroimaging, cognitive assessment, free texts, routine electronic health records etc. Making the best use of these diverse and strategic resources will lead to high quality care of patients with dementia...
March 12, 2019: IEEE Reviews in Biomedical Engineering
Michal Rapczynski, Philipp Werner, Ayoub Al-Hamadi
OBJECTIVE: Public databases are important for evaluating and comparing different methods and algorithms for camera based heart rate estimation. Because uncompressed video requires huge file sizes, a need for compression algorithms exists to store and share video data. Due to the optimization of modern video codecs for human perception, video compression can influence heart rate estimation negatively by reducing or eliminating small color changes of the skin (PPG) that are needed for camera based heart rate estimation...
March 13, 2019: IEEE Transactions on Bio-medical Engineering
Hyung Jin Hahn, Sang Gyu Kwak, Dong-Kyu Kim, Jong-Yeup Kim
Ménière disease (MD), an idiopathic disorder of sensorineural hearing loss and vertigo, shares many similarities with two common skin conditions, atopic dermatitis (AD) and vitiligo. Recent studies have suggested that MD may be related to or triggered by autoimmune conditions, notably Hashimoto thyroiditis and alopecia areata. These evidences led to the authors contemplating the possibility of immunological bridge between MD and the two skin conditions. The authors have tested this hypothesis with population-based cohort from the National Health Insurance Service Database of Korea...
March 13, 2019: Scientific Reports
Hyung Sun Kim, Seong Kyung Cho, Chang Soo Kim, Joon Seong Park
[This corrects the article DOI: 10.1371/journal.pone.0211480.].
2019: PloS One
Ashley N Anderson, Jace B King, Jeffrey S Anderson
Neuroimaging has been a dominant force in guiding research into psychiatric and neurodevelopmental disorders for decades, yet researchers have been unable to formulate sensitive or specific imaging tests for these conditions. The search for neuroimaging biomarkers has been constrained by limited reproducibility of imaging techniques, limited tools for evaluating neurochemistry, heterogeneity of patient populations not defined by brain-based phenotypes, limited exploration of temporal components of brain function, and relatively few studies evaluating developmental and longitudinal trajectories of brain function...
March 13, 2019: British Journal of Radiology
Chunxiao Liao, Austin O Rosner, Jill L Maron, Dongli Song, Steven M Barlow
Background and Objective : The emergence of the nonnutritive suck (NNS) pattern in preterm infants reflects the integrity of the brain and is used by clinicians in the neonatal intensive care unit (NICU) to assess feeding readiness and oromotor development. A critical need exists for an integrated software platform that provides NNS signal preprocessing, adaptive waveform discrimination, feature detection, and batch processing of big data sets across multiple NICU sites. Thus, the goal was to develop and describe a cross-platform graphical user interface (GUI) and terminal application known as NeoNNS for single and batch file time series and frequency-domain analyses of NNS compression pressure waveforms using analysis parameters derived from previous research on NNS dynamics...
2019: Computational and Mathematical Methods in Medicine
Andrea Torres-Robles, Elyssa Wiecek, Rachelle Cutler, Barry Drake, Shalom I Benrimoj, Fernando Fernandez-Llimos, Victoria Garcia-Cardenas
Background: Medication non-adherence remains a significant problem for the health care system with clinical, humanistic and economic impact. Dispensing data is a valuable and commonly utilized measure due accessibility in electronic health data. The purpose of this study was to analyze the changes on adherence implementation rates before and after a community pharmacist intervention integrated in usual real life practice, incorporating big data analysis techniques to evaluate Proportion of Days Covered (PDC) from pharmacy dispensing data...
2019: Frontiers in Pharmacology
Charles Yang
I review the problem of referential ambiguity that arises when children learn the meanings of words, along with a number of models that have been proposed to solve it. I then provide a formal analysis of why a resource-limited model that retains very few meaning hypotheses may be more effective than "big data" models that keep track of all word-meaning associations.
March 12, 2019: Topics in Cognitive Science
Chen Xu, Decun Dong, Dongxiu Ou, Changxi Ma
This paper proposes a novel two-order optimization model of the division of time-of-day control segmented points of road intersection to address the limitations of the randomness of artificial experience, avoid the complex multi-factor division calculation, and optimize the traditional model over traffic safety and data-driven methods. For the first-order optimization-that is, deep optimization of the model input data-we first increase the dimension of traditional traffic flow data by data-driven and traffic safety methods, and develop a vector quantity to represent the size, direction, and time frequency with conflict point traffic of the total traffic flow at a certain intersection for a period by introducing a 3D vector of intersection traffic flow...
March 9, 2019: International Journal of Environmental Research and Public Health
Meda Raghavendra
OBJECTIVE: To introduce the basic concepts of blockchain technologies in tackling the opioid epidemic. DESIGN: A narrative review. SETTING/BACKGROUND: The opioid epidemic is taking a big toll in terms of lives and livelihood in America. Various public and private sector agencies are actively implementing different strategies to contain the epidemic. Development of robust real-time databases that are secure and easily accessible to the stakeholders in the opioid/paincare ecosystem is essential...
March 8, 2019: Pain Medicine: the Official Journal of the American Academy of Pain Medicine
Terrence J Adam, Chih-Lin Chi
The creation of big clinical data cohorts for machine learning and data analysis require a number of steps from the beginning to successful completion. Similar to data set preprocessing in other fields, there is an initial need to complete data quality evaluation; however, with large heterogeneous clinical data sets, it is important to standardize the data in order to facilitate dimensionality reduction. This is particularly important for clinical data sets including medications as a core data component due to the complexity of coded medication data...
2019: Methods in Molecular Biology
Ahmed Ghoubara, Malcolm James Price, Mohamed Salah El-Din Fahmy, Abdou Saeed Ait-Allah, Ayman Ewies
There is wide variation in reporting the prevalence of hyperplasia and cancer in endometrial polyps in women with postmenopausal bleeding. Most studies reported heterogenous populations of pre- and postmenopausal women both symptomatic and asymptomatic, making data interpretation difficult. The aim of this work is to quantify the prevalence of hyperplasia and cancer in polyps in women with postmenopausal bleeding aiming to produce data that help inform clinical practice as whether it is safer to remove all polyps, or some women could be offered expectant management...
March 7, 2019: Post Reproductive Health
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