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Data mining in clinical big data: the frequently used databases, steps, and methodological models

Wen-Tao Wu, Yuan-Jie Li, Ao-Zi Feng, Li Li, Tao Huang, An-Ding Xu, Jun Lyu
2021 Military Medical Research  
Therefore, data mining has unique advantages in clinical big-data research, especially in large-scale medical public databases.  ...  The goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application of data-mining technology on clinical big-data in order to promote the production  ...  Data-mining algorithms for clinical big data Data mining based on clinical big data can produce effective and valuable knowledge, which is essential for accurate clinical decision-making and risk assessment  ... 
doi:10.1186/s40779-021-00338-z pmid:34380547 pmcid:PMC8356424 fatcat:6qrmysorxfc3xbst4da7urudvy

Social Research in Times of Big Data.: The Challenges of New Data Worlds and the Need for a Sociology of Social Research

Rainer Diaz-Bone, Valeska Cappel
2020 Zenodo  
In conclusion, we argue that the sketched developments have important implications both for research practices and methods teaching in the era of big data.  ...  This article argues for moving towards a sociology of social research in order to characterize the new qualities of big data and its deficiencies.  ...  For example, Apple is active with its apps on IOS devices, both in clinics and in private everyday lives of patients and healthy people.  ... 
doi:10.5281/zenodo.6353585 fatcat:2wkbfci7gzdvzc3lrrsmyrcpqy

Statistical Inference, Learning and Models in Big Data

Beate Franke, Jean-François Plante, Ribana Roscher, En-shiun Annie Lee, Cathal Smyth, Armin Hatefi, Fuqi Chen, Einat Gil, Alexander Schwing, Alessandro Selvitella, Michael M. Hoffman, Roger Grosse (+2 others)
2016 International Statistical Review  
The need for new methods to deal with big data is a common theme in most scientific fields, although its definition tends to vary with the context.  ...  Statistical ideas are an essential part of this, and as a partial response, a thematic program on statistical inference, learning, and models in big data was held in 2015 in Canada, under the general direction  ...  and Models in Big Data.  ... 
doi:10.1111/insr.12176 fatcat:cwweasntvbcsfbm2nnpwwwmojy

Structural Topic Model Analysis of Mask-Wearing Issue Using International News Big Data

Kyeo Re Lee, Byungjun Kim, Dongyan Nan, Jang Hyun Kim
2021 International Journal of Environmental Research and Public Health  
In particular, by utilizing big data analysis of international news data, discourses around the world can be analyzed more deeply.  ...  Media plays an important role in the acquisition of health information worldwide. This was particularly evident in the face of the COVID-19 epidemic.  ...  be called analysis using big data.  ... 
doi:10.3390/ijerph18126432 fatcat:22iq4dw7zrhalnq7pgqpaocmnm

Efficient Intelligent Systems for Healthcare Data Management and Delivery

Dr Krishna Prasad K
2021 Zenodo  
Efficient Intelligent Systems for Healthcare Data Management and Delivery: PDF  ...  It can be observed by an individual by a heaviness or tightness in the chest.  ...  instrument, with the current and resulted health and treatment of the patients, to the data of the patient.  ... 
doi:10.5281/zenodo.5148783 fatcat:zabqdvbnkbacrgritgzu2sedsy

Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kıcıman
2019 Frontiers in Big Data  
We identify a variety of menaces in the practices around social data use, and organize them in a framework that helps to identify them.  ...  Social data in digital form-including user-generated content, expressed or implicit relations between people, and behavioral traces-are at the core of popular applications and platforms, driving the research  ...  ACKNOWLEDGMENTS We are grateful to Jisun An, Cody Buntain, Kate Crawford, Yelena Mejova, Kush Varshney, Claudia Wagner, and Ingmar Weber for detailed and insightful feedback on earlier versions of this  ... 
doi:10.3389/fdata.2019.00013 pmid:33693336 pmcid:PMC7931947 fatcat:yhvqij6yyvhjjcwt7u4h6oq6au

Using nationwide 'big data' from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme

Harry Hemingway, Gene S Feder, Natalie K Fitzpatrick, Spiros Denaxas, Anoop D Shah, Adam D Timmis
2017 Programme Grants for Applied Research  
Despite national guidance, key opportunities for investigation and treatment were missed across the patient journey, resulting in a worse prognosis for patients in the UK compared with patients in health  ...  Prognostic models using real-world data validly discriminated risk of death and events, and were used in cost-effectiveness decision models.ConclusionsEmerging 'big data' opportunities arising from the  ...  clinics and cardiac catheter laboratories who accommodated and assisted our research team during the patient recruitment phase of 4C.  ... 
doi:10.3310/pgfar05040 fatcat:cmr7uusu6bddzaklhp34zsspju

Alternative Research Funding to Improve Clinical Outcomes: Model of Prediction and Prevention of Sudden Cardiac Death

R. J. Myerburg, S. G. Ullmann
2015 Circulation: Arrhythmia and Electrophysiology  
In this analysis, we explore the possibility of a research funding strategy that would offer business incentives to the insurance industries, while providing support for unresolved research goals.  ...  A resolution to this problem would have to emerge from new sources of funding targeted to individual risk prediction.  ...  Valid clinical efficacy measures are more likely to emerge from big science. In large part, big data is an accommodation to the status quo of conventional research funding.  ... 
doi:10.1161/circep.114.002580 pmid:25669654 fatcat:dx7pdugivbf5pfmvpp73mt7rem

LD50 values of ISS or NISS from the Chinese Trauma Data Bank and their application in predicting post-trauma sepsis

Huaping Liang, He Jin, Zheng Liu, Ya Xiao
2013 Critical Care  
In this study, we demonstrate a critical role of peroxynitrite in vascular hyporesponsiveness to vasopressin (VP) in methicillin-resistant Staphylococcus aureus (MRSA)induced ovine sepsis.  ...  In addition, the in vitro effects of AVP (5 nM) on isolated arterial ring tone were abolished with co-incubation with peroxynitrite (50 μM).  ...  An evidence-based medical sepsis bundles model has been used for sepsis care in clinical practice.  ... 
doi:10.1186/cc12961 pmcid:PMC3953007 fatcat:wwhqh3aa6jcg3ejeq3ohx2np6m

Neuraminidase inhibitors for influenza: a systematic review and meta-analysis of regulatory and mortality data

Carl J Heneghan, Igho Onakpoya, Mark A Jones, Peter Doshi, Chris B Del Mar, Rokuro Hama, Matthew J Thompson, Elizabeth A Spencer, Kamal R Mahtani, David Nunan, Jeremy Howick, Tom Jefferson
2016 Health Technology Assessment  
They are used clinically worldwide.ObjectivesTo (1) describe the potential benefits and harms of NIs for influenza in all age groups by reviewing all clinical study reports (CSRs) of published and unpublished  ...  To examine the effects of oseltamivir on 2009A/H1N1 influenza mortality, we requested individual patient data (IPD) from corresponding authors of all included observational studies.ResultsEffect of oseltamivir  ...  Therefore, we propose analysing adverse events/reactions stratified by age, if possible, according to the data in the Clinical Study Reports or individual patients' data in the next step of our systematic  ... 
doi:10.3310/hta20420 pmid:27246259 pmcid:PMC4904189 fatcat:75ugqg36pjgnhhit3v2u36exr4

The use of health related quality of life measurement in cardiovascular and pulmonary physical therapy practice: an exploratory study

Kristin Lefebvre, Terri Anderson, Kim Herbertson, Aliah Keirsey, Heather Wnorowski, Kerstin M Palombaro
2010 Cardiopulmonary Physical Therapy Journal  
In addition, ideas for future research on HRQL measurements with specific patient populations in physical therapy practice were defined.  ...  In addition, several subthemes developed including lack of familiarity, lack of use, administrative and cost limitations, inappropriateness of tool for patient population, correlation between function  ...  regarding the use of HRQL in the clinical setting, an exploratory study was conducted.  ... 
pmid:21206673 pmcid:PMC3004758 fatcat:6lho6kakbre4rb2d5cab5jh5au

Peer navigation for individuals with serious mental illness leaving jail: a pilot randomized trial study protocol

Maji Hailemariam, Lauren M. Weinstock, Jennifer E. Johnson
2020 Pilot and Feasibility Studies  
Serious mental illness (SMI) is a prevalent public health problem affecting 25% of individuals in jail.  ...  Re-entry to the community following incarceration is a vulnerable time for justice-involved individuals with SMI.  ...  We will also examine reasons for termination for consistent patterns.  ... 
doi:10.1186/s40814-020-00659-1 pmid:32821420 pmcid:PMC7429745 fatcat:pldcvy5t4zafplhsmg7ozd6pqa

Track the trackers

2013 Nature  
Many exploratory clinical trials are now under way to search for biomarkers in genes or in the brain itself that might be predictive.  ...  As the World View on page 139 shows, privacy and what it means in the digital age is an increasingly crucial question in the era of big data.  ... 
doi:10.1038/498137b fatcat:75endwniq5dydcq67lapkhfibe

Relational Network for Knowledge Discovery through Heterogeneous Biomedical and Clinical Features

Huaidong Chen, Wei Chen, Chenglin Liu, Le Zhang, Jing Su, Xiaobo Zhou
2016 Scientific Reports  
The clinical potential of the discovered modules was exhibited by stratifying patients for drug responses.  ...  The discovered "ER module", which was dominated by cancer immunity, was used as an example for patient stratification and prediction of drug responses to tamoxifen and chemotherapy.  ...  We also acknowledge the editorial assistance of Karen Klein, MA, in the Wake Forest Clinical and Translational Science Institute (UL1 TR001420; PI: Li).  ... 
doi:10.1038/srep29915 pmid:27427091 pmcid:PMC4947904 fatcat:ngnr2gftwbgsvjh3delq3tkopi

Thoracic damage control surgery

Tamas F. Molnar
2019 Journal of Thoracic Disease  
The individual patients benefit from TDCS procedures whose condition is too severe for a complex immediate reconstruction (polytrauma).  ...  Intrathoracic haemorrhage control and pleural decompression are the two main immediate tasks of TDCS, while definitive procedures follow when the patient is stabilised in 24-48 hours.  ...  Sequence of procedures in both of haemodynamically stable and instable patient and is dictated by the particular injury pattern (20, 21) .  ... 
doi:10.21037/jtd.2018.11.32 pmid:30906580 pmcid:PMC6389564 fatcat:ih44gjguxrcc7k2gn4mpr7qreq
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