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Late-onset epilepsy and subsequent increased risk of dementia

Zhi-Ren Tsai, Han-Wei Zhang, Chun-Hung Tseng, Hsiao-Ching Peng, Victor C. Kok, Gao Ping Li, Chao A. Hsiung, Chun-Yi. Hsu
2021 Aging  
To evaluate the association between epilepsy and the risk of dementia, in Taiwan, we have now conducted a retrospective cohort study comprising 675 individuals (age, ≥50 years) with epilepsy and 2,025  ...  In order to match individuals diagnosed with epilepsy with those with no diagnosis of epilepsy (comparison cohort), we utilized exact matching at a ratio of 1:3.  ...  We used the data from the National Health Insurance Research Database (NHIRD) of Taiwan to evaluate the association of epilepsy with dementia and to establish if patients with epilepsy aged ≥50 years are  ... 
doi:10.18632/aging.202299 pmid:33429365 pmcid:PMC7906153 fatcat:4h66imaevbfsrfgymhtlazyhc4

A Systematic Machine Learning Based Approach for the Diagnosis of Non-Alcoholic Fatty Liver Disease Risk and Progression

Sajida Perveen, Muhammad Shahbaz, Karim Keshavjee, Aziz Guergachi
2018 Scientific Reports  
We proposed a Decision Tree based method to evaluate the risk of developing NAFLD and its progression in the Canadian population, using Electronic Medical Records (EMRs) by exploring novel risk factors  ...  Employing the proposed application in ordinary medical checkup is expected to lessen healthcare expenditures compared with administering additional complicated test.  ...  Acknowledgements This research project was partially supported by NSERC, CFI and OIT. We thank our colleagues at CPCSSN for their help with the datasets.  ... 
doi:10.1038/s41598-018-20166-x pmid:29391513 pmcid:PMC5794753 fatcat:m4c27mk5p5balds6bw2ltgwwfq

Application of Big Data analysis in gastrointestinal research

Ka-Shing Cheung, Wai K Leung, Wai-Kay Seto
2019 World Journal of Gastroenterology  
This review will illustrate the use of Big Data research on gastrointestinal and liver diseases using recently published examples.  ...  The application of Big Data analysis in the field of gastroenterology and hepatology research has also opened new research approaches.  ...  Although diabetes mellitus was associated with an increased HCC risk [91] , each incremental year increase in metformin use resulted in a 7% reduction in HCC risk for diabetic patients.  ... 
doi:10.3748/wjg.v25.i24.2990 pmid:31293336 pmcid:PMC6603810 fatcat:kcssyunozzeqbhwudcuep6lrf4

Clinical Applications of Artificial Intelligence—An Updated Overview

Ștefan Busnatu, Adelina-Gabriela Niculescu, Alexandra Bolocan, George E. D. Petrescu, Dan Nicolae Păduraru, Iulian Năstasă, Mircea Lupușoru, Marius Geantă, Octavian Andronic, Alexandru Mihai Grumezescu, Henrique Martins
2022 Journal of Clinical Medicine  
Moreover, a diverse repertoire of methods can be chosen towards creating performant models for use in medical applications, ranging from disease prediction, diagnosis, and prognosis to opting for the most  ...  Encouraged by the variety and vast amount of data that can be gathered from patients (e.g., medical images, text, and electronic health records), researchers have recently increased their interest in developing  ...  Specifically, the ingenious use of data in the EHR, medical literature, and trial databases can improve patient-trial matching and recruitment, subsequently increasing trial success rates [114, 115] .  ... 
doi:10.3390/jcm11082265 pmid:35456357 pmcid:PMC9031863 fatcat:mtzdrc7nyzgbjeyou3h4cuso7a

Informatics for Health 2017: Advancing both science and practice

Philip J. Scott, Ronald Cornet, Colin McCowan, Niels Peek, Paolo Fraccaro, Nophar Geifman, Wouter T. Gude, William Hulme, Glen P. Martin, Richard Williams
2017 Journal of Innovation in Health Informatics  
This special issue of the Journal of Innovation in Health Informatics contains 113 presentation abstracts and 149 poster abstracts from the congress.Discussion: The twin programmes of "Big Data" and "Digital  ...  of the possible, seen in the breadth and depth of our contributions.  ...  We utilised a novel way of identifying patterns of multimorbidity and variations by age, gender and ethnicity and demonstrated the applicability of data mining techniques to medical data where its use  ... 
doi:10.14236/jhi.v24i1.939 pmid:28665785 fatcat:fj7cg7o6h5c3hnd5x7b2cfo2te

Big Data for Health

Javier Andreu-Perez, Carmen C. Y. Poon, Robert D. Merrifield, Stephen T. C. Wong, Guang-Zhong Yang
2015 IEEE journal of biomedical and health informatics  
This paper provides an overview of recent developments in big data in the context of biomedical and health informatics.  ...  The rise of big data, however, also raises challenges in terms of privacy, security, data ownership, data stewardship, and governance.  ...  One-fourth of patients with chronic diseases, such as diabetes, cancer, and heart conditions, are now using social network to share experiences with other patients with similar conditions, thereby providing  ... 
doi:10.1109/jbhi.2015.2450362 pmid:26173222 fatcat:wdmtokdztffmjavdosqcjxiyxm

Health—exploring complexity: an interdisciplinary systems approach HEC2016

Eva Grill, Martin Müller, Ulrich Mansmann
2016 European Journal of Epidemiology  
). 752 Managing healthcare data complexity with graph databases Since the introduction of diagnosis-related groups in the German healthcare system, classifying patient diagnosis and procedures with controlled  ...  In newly detected, HbA1c diagnosed diabetes and prediabetes, there was no increased risk of CAC onset and CAC progression in a 5-year follow-up period. 474 Associations between sleep characteristics  ...  Results The experiment on real-world EMR data shows that our approach is able to find meaningful progression patterns with less noises, and can help quickly identify interesting patterns related to a certain  ... 
doi:10.1007/s10654-016-0183-1 pmid:27522353 fatcat:dcl3nbpygvh5fg7keri74h55ie

In Search of Big Medical Data Integration Solutions -A Comprehensive Survey

Houssein Dhayne, Rafiqul Haque, Rima Kilany, Yehia Taher
2019 IEEE Access  
In recent years, the radical advancement of technologies has given rise to an abundance of software applications, social media, and smart devices such as smartphone, sensors, and so on.  ...  More extensive use of these applications and tools in various industrial domains has led to data deluge, which has fostered enormous challenges and opportunities.  ...  Teradata 17 is one of the well-known RDMS, best suited for database warehousing application dealing with a considerable amount of data.  ... 
doi:10.1109/access.2019.2927491 fatcat:6ooixehrznfdnbwghzfeds3mky

2nd International Congress on Neurology and Epidemiology

2012 Neuroepidemiology  
in case-control studies, and (ii) data mining methods used with large health care utilization databases to identify patients with neurological disorders with a high degree of accuracy.  ...  Methods: 60 children with epilepsy were divided into: group I: newly diagnosed patients not receiving AEDs (50%) and group II: epileptic patients on regular AEDs further subdivided into: II-a receiving  ...  More research to establish the cause and treatment of cognitive impairment in ICU survivors is recommended. 248 Explanations Given by People with Epilepsy for Using Emergency Medical Services: A Qualitative  ... 
doi:10.1159/000343765 pmid:23128512 fatcat:zlibc2hggzhknbgves2mvspkqi

Eposter Session 1

2021 Pediatric Diabetes  
Patients diagnosed with T1DM for more than a year and received care for the whole year were included. Transitioned patients, or patients with other types of diabetes were excluded.  ...  The T1DX-QI cohort has a large, diverse and representative sample of minorities, patients on public insurance, patients on continuous glucose monitors (CGM) and insulin pumps compared to other US research  ...  In a pediatric diabetes unit in Denmark, all families of children with newly diagnosed T1D are offered a diabetes education [Figure 1showing the perception on Type 1 Diabetes] Conclusions: This program  ... 
doi:10.1111/pedi.13198 fatcat:moglzgtg5vgvlnfnoiv4ir3kcq

EPMA World Congress: Traditional Forum in Predictive, Preventive and Personalised Medicine for Multi-Professional Consideration and Consolidation

2017 The EPMA Journal  
Differences in patient personal characteristics, whether patients did or did not follow recommendations, and gender differences were found between groups with improvement and deterioration indexes.  ...  Acknowledgements: This work was supported by the project Competence Centre for Research and Development in the Field of Diagnostics and Therapy of Oncological Diseases, ITMS: 26220220153, the project is  ...  , for the prediction of cardiovascular risk in diabetic patients.  ... 
doi:10.1007/s13167-017-0108-4 fatcat:7olkljdpt5b2ti4vlk7y3m32je

Oral presentations of Congressus Pharmaceuticus Hungaricus XVI

László Horváth
2020 Acta pharmaceutica Hungarica  
Acknowledgement: this study was supported by the GI-noP-2.3.2-15-2016-00043 (IronHeArt), the Higher education Institutional excellence program nkfIH-1150-6/2019 and efOp-3.6.1-16-2016-00022 "Debrecen venture  ...  Methods: east-Hungarian epilepsy Database (from 1992) was created in order to analyse the data of patients through their case histories from out-patient files.  ...  safety in patients with type II diabetes and in healthy controls.  ... 
doi:10.33892/aph.2020.90.41-84 fatcat:f4aeb7ijnrdjjih4l65uossygy

Abstracts of oral and poster presentations of the 1st South East Asia Regional Group Meeting of the International Epidemiological Association and 24th Annual Academic Session of the College of Community Physicians of Sri Lanka 2019

Ruwan Ferdinando
2019 Journal of the College of Community Physicians of Sri Lanka  
based economic evaluation using available data.  ...  Household Income and Expenditure data (HIES), Global Health Expenditure Database (GHED) and brain storming were utilized to identify the root causes.  ...  Results: The overall prevalence of diabetes was 28.1% (95% CI: 24.4-30.7) and newly diagnosed diabetes was 17 %( CI: 14.4-19.4).  ... 
doi:10.4038/jccpsl.v25i3.8229 fatcat:iibkho6xsvdnhatguw36edlyaa

A Scalable Healthcare Integrated Platform (SHIP) and Key Technologies for Daily Application [chapter]

Wenxi Chen, Xin Zhu, Tetsu Nemoto, Daming Wei, Tatsuo Togaw
2008 Data Mining in Medical and Biological Research  
The projects mentioned were supported in part by several financial resources from: (a) The University Start-Ups Creation Support System of the Japanese Ministry of Education, Culture, Sports, Science and  ...  The authors thank all our colleagues and students from universities, academic institutions and companies for co-work in the above studies, and we thank participants for their enduring efforts in long-term  ...  www.intechopen.comData Mining in Medical and Biological Research www.intechopen.comA Scalable Healthcare Integrated Platform (SHIP) and Key Technologies for Daily Application  ... 
doi:10.5772/6414 fatcat:tgougrbwhvga3ixnudtt5rlnku

20th ISoP Annual Meeting "Integrated pharmacovigilance for safer patients" 8–10 November 2021 Muscat, Oman (Hybrid meeting)

2021 Drug Safety  
Results: The NTBLCP submitted a total of 284 reports to the NAFDAC database: 251/284 (88%) were from the repurposed drugs and 33/284 (12%) from bedaquiline [29/33 (88%)] and delamanid [4/ 33 (12%)].  ...  Objective/Aim: To ascertain the implementation of the aDSM scheme in an era of enhanced support from external collaborators, such as the PAVIA project by describing: (a) the total number of adverse drug  ...  The author(s) meet criteria for authorship as recommended by the International Committee of Medical Journal Editors (ICMJE).  ... 
doi:10.1007/s40264-021-01129-0 pmid:34751901 pmcid:PMC8576318 fatcat:z2kvijpvqbhprg3dagbwax44xq
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