192 Hits in 5.1 sec

Decision Support System for the Assessment of Risk Factors for Type 2 Diabetes and Minimizing the Risk for Complications

Soumaya Fellaji, Abdellah Azmani, Abdelhadi Akharif
2015 International Journal of Computer Applications  
decision support system to improve the quality of life of patients with type 2 diabetes and to reduce the risk of its complications.  ...  The proposed model provides results showing the usefulness and ability of this artificial intelligence technique for decision making in order to improve the quality of life of patients with type 2 diabetes  ...  They are used to validate the modeling of the proposed network structure to be able to project it in a real case study, in progress, of type 2 diabetics in Morocco.  ... 
doi:10.5120/21661-4717 fatcat:7u5cs27xtnhpbfdac6cu7piyx4

Aging and Allostasis: Using Bayesian Network Analytics to Explore and Evaluate Allostatic Markers in the Context of Aging

Victor Kallen, Muhammad Tahir, Andrew Bedard, Bart Bongers, Natal van Riel, Nico van Meeteren
2021 Diagnostics  
Based on reported statistics (prevalence of a biomarker and its associated outcome, and/or an odds/risk ratio relating these two), seven of these could be adopted in a Bayesian Belief Network (BBN), providing  ...  Additional statistical analyses showed that changes in IL-6 and BMI contributed the most to a "disturbed" allostasis, indicating their prognostic potential in relation to deteriorating health in otherwise  ...  Acknowledgments: The authors would like to thank Tim van den Broek (methodology) and Lars Verschuren (theoretical background) for their consultation, and Jacqueline Stam for editing the final document.  ... 
doi:10.3390/diagnostics11020157 pmid:33494482 pmcid:PMC7912325 fatcat:ishn3aa5t5b3bk5q57jucichda

Correlation between atrophic gastritis and risk factors prevalence among workers employed at atomic enterprise

E.I. Rabinovich, The Southern Urals Biophysics Institute of the RF Federal Medical and Biological Agency, 19 Ozerskoe drive, Ozersk, 456780, Russian Federation, V.F. Obesnyuk, S.V. Povolotskaya, S.N. Sokolova, M.A. Vasina, S.S. Sokol'nikova, The Southern Urals Biophysics Institute of the RF Federal Medical and Biological Agency, 19 Ozerskoe drive, Ozersk, 456780, Russian Federation, The Southern Urals Biophysics Institute of the RF Federal Medical and Biological Agency, 19 Ozerskoe drive, Ozersk, 456780, Russian Federation, The Southern Urals Biophysics Institute of the RF Federal Medical and Biological Agency, 19 Ozerskoe drive, Ozersk, 456780, Russian Federation, The Southern Urals Biophysics Institute of the RF Federal Medical and Biological Agency, 19 Ozerskoe drive, Ozersk, 456780, Russian Federation, The Southern Urals Biophysics Institute of the RF Federal Medical and Biological Agency, 19 Ozerskoe drive, Ozersk, 456780, Russian Federation
2019 Analiz Riska Zdorovʹû  
In order to determine how intense that relation was, in further analysis it was advisable to apply an alternative hypothesis H1 on a possible relation between an effect and examined factors.  ...  Atrophy of the stomach mucosa in the stomach is a significant predisposing factor that causes elevated risks of stomach adenocarcinoma.  ...  The research was not granted any financial support. Conflict of interests. The authors declare there is no any conflict of interests.  ... 
doi:10.21668/health.risk/2019.4.11.eng fatcat:m7cjniffmnbdxp4n6sbyivm5wq

Discovery of the connection among age-related macular degeneration, MTHFR C677T and PAI 1 4G/5G gene polymorphisms, and body mass index by means of Bayesian inference methods

Aydan ÇELEBİLER, Hüseyin ŞEKER, Bora YÜKSEL, Ahmet ORUNSibel BİLGİLİ, Muhammet Baysal KARACA
2013 Turkish Journal of Electrical Engineering and Computer Sciences  
with the influence of personal factors in a Turkish population as a pilot study.  ...  The data set collected was then analyzed using the Bayesian inference methods and visualized by means of the Bayesian networks.  ...  The aim of the present study was therefore to explore the relationship between the presence of multiple gene polymorphisms related to cardiovascular risk factors and the 2 distinct advanced 'dry and wet  ... 
doi:10.3906/elk-1111-21 fatcat:mtntyxzylnfz5hiwkomwlj3dma

Using Directed Acyclic Graphs for Investigating Causal Paths for Cardiovascular Disease

Simon Thornley
2013 Journal of Biometrics & Biostatistics  
The sample included people who were aged 30 to 80 years old, free of CVD, who had a CVD risk assessment in primary care and had at least 2 years of follow-up.  ...  We used the 'grow shrink' algorithm, in the bnlearn library of R software to generate a DAG. A total of 6256 individuals were included, and 101 CVD events occurred during follow-up.  ...  They would also like to thank affiliated general practitioners and practice nurses and patients belonging to the ProCare Network, Auckland PHO Ltd, Health West, East Health Services, National Māori Hauora  ... 
doi:10.4172/2155-6180.1000182 fatcat:h3zqnybap5depkd4bxkh3zkkp4

Heterogeneous Methodology to Support the Early Diagnosis of Gestational Diabetes

Egidio Gomes Filho, Placido R. Pinheiro, Mirian C. D. Pinheiro, Luciano Comin Nunes, Luiza B. G. Gomes
2019 IEEE Access  
In this context, we present a hybrid methodology of a specialized system structured in the Bayesian networks, the multicriteria approach of decision support, and artificial intelligence.  ...  In such a methodology, input parameters are proposed in order to support the early diagnosis of GDM, based on the symptoms of diseases that manifest in concomitance or that develop due to the favorable  ...  It affects 5 % to 10 % of cases [5] , [6] ; • Diabetes Type 2: results from a progressive defect in insulin secretion due to insulin resistance.  ... 
doi:10.1109/access.2019.2903691 fatcat:aslkpzddtfhn7ehkxgibza4pzi

Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility

Swapan Kumar Das, Neeraj Kumar Sharma
2014 World Journal of Diabetes  
Core tip: Identification of genetic variants that modulate the susceptibility to disease and elucidating their function at the molecular level is a major focus of type 2 diabetes (T2D) research.  ...  This article highlights the utility of expression quantitative trait analysis in discovering regulatory variants that increase susceptibility to T2D by modulating the expression of transcripts in tissues  ...  We dedicate this article to the memory of Dr. Steven C. Elbein.  ... 
doi:10.4239/wjd.v5.i2.97 pmid:24748924 pmcid:PMC3990322 fatcat:nlwrdck5rjcdxbd5bk4po32t3a

Recurrent Pregnancy Loss in Polycystic Ovary Syndrome: Role of Hyperhomocysteinemia and Insulin Resistance

Pratip Chakraborty, S. K. Goswami, Shweta Rajani, Sunita Sharma, Syed N. Kabir, Baidyanath Chakravarty, Kuladip Jana, Stephen Franks
2013 PLoS ONE  
A probabilistic causal model evaluated HHcy as the strongest plausible factor for diagnosis of RPL.  ...  This study was conducted to assess the link between elevated levels of homocysteine and IR in PCOS-associated women with RPL in Kolkata, India.  ...  Mahiruha Mukherji for his help in building and refining the structure of the model.  ... 
doi:10.1371/journal.pone.0064446 pmid:23700477 pmcid:PMC3660299 fatcat:kemrayafa5cttgbl6uv5vkq2ui

Investigating the Relative Influence of Genes and Memes in Healthcare

Alistair Sutcliffe, Di Wang
2012 Journal of Artificial Societies and Social Simulation  
The authors wish to thanks Professor Frances Griffith and colleagues in Warwick Medical School for providing domain knowledge on healthcare and advice on modeling.  ...  Acknowledgements This research was partially funded by the UK Engineering and Physical Sciences Research Council (EPSRC), grant reference EP/E062083/1, Artificial Cultures.  ...  Figure 1 . 1 Fragment of a Bayesian net model 2.3 Figure 2 . 2 Gene-Meme Bayesian Network.  ... 
doi:10.18564/jasss.1944 fatcat:4ttpmzbu4vgejgf7ca2nb3jyhy

Improving Diagnosis in Obstructive Sleep Apnea with Clinical Data: A Bayesian Network Approach

Daniela Ferreira-Santos, Pedro Pereira Rodrigues
2017 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)  
In that year (2010) I went to a lecture with several of my current teachers and I realized that this area would be a great, or better said, the best way to go ahead in life.  ...  Acknowledgments I want to begin with a sentence that describes this Master's degree for me: "Happy people remember the past with gratitude, rejoice in the present and face the future without fear."  ...  Type 2 diabetes mellitus and OSA share a number of common risk factors, including advancing age, ethnicity and obesity.  ... 
doi:10.1109/cbms.2017.19 dblp:conf/cbms/SantosR17 fatcat:335342arhzb2xpjjrj42mfrdgu

Non-obvious correlations to disease management unraveled by Bayesian artificial intelligence analyses of CMS data

Vijetha Vemulapalli, Jiaqi Qu, Jeonifer M. Garren, Leonardo O. Rodrigues, Michael A. Kiebish, Rangaprasad Sarangarajan, Niven R. Narain, Viatcheslav R. Akmaev
2016 Artificial Intelligence in Medicine  
The goal of this analysis was to demonstrate the use of artificial intelligence based methods such as Bayesian networks to open up opportunities for creation of new knowledge in management of chronic conditions  ...  A plausible pharmacological explanation of this link is proposed together with a verification of the risk significance by conventional statistical analysis.  ...  Using longitudinal patient level data and genetic predisposition, one could develop a risk model to identify patients at high risk of renal damage and divert those individuals to other treatment options  ... 
doi:10.1016/j.artmed.2016.11.001 pmid:27964799 fatcat:f3pwvhbj2za5ngcd2zyqmqitfm

Inference attacks on genomic data based on probabilistic graphical models

Zaobo He, Junxiu Zhou
2020 Big Data Mining and Analytics  
After finding an approximate distribution of the input genomic dataset relying on Bayesian networks, a noisy distribution is obtained after injecting noise into the approximate distribution.  ...  We propose new inference attacks to predict unknown Single Nucleotide Polymorphisms (SNPs) and human traits of individuals in a familial genomic dataset based on probabilistic graphical models and belief  ...  To mitigate the gaps, we make use of a Bayesian network [23] that is a probabilistic graphical model to describe the conditional independence among a set of variables.  ... 
doi:10.26599/bdma.2020.9020008 fatcat:pij5lonxg5hbnjflcwxk7qdoqm

DomainRBF: a Bayesian regression approach to the prioritization of candidate domains for complex diseases

Wangshu Zhang, Yong Chen, Fengzhu Sun, Rui Jiang
2011 BMC Systems Biology  
our inferences and the evidences from genome-wide association studies for four common diseases (type 1 diabetes, type 2 diabetes, Crohn's disease, and breast cancer).  ...  Based on this assumption, we propose a Bayesian regression approach named "domainRBF" (domain Rank with Bayes Factor) to prioritize candidate domains for human complex diseases.  ...  Acknowledgements This work was partly supported by the National Science Foundation of China  ... 
doi:10.1186/1752-0509-5-55 pmid:21504591 pmcid:PMC3108930 fatcat:ogqa7ircqrhizpvda6q6dzjs5a

Reflections on the Field of Human Genetics: A Call for Increased Disease Genetics Theory

Steven J. Schrodi
2016 Frontiers in Genetics  
It is important to draw a distinction between the genetics that predispose an individual to a disease and the genetic repertoire that underlies the predisposition to a disease across a population of affected  ...  Notably, Agarwala and colleagues have conducted excellent work in this area for type 2 diabetes (Agarwala et al., 2013) .  ... 
doi:10.3389/fgene.2016.00106 pmid:27375680 pmcid:PMC4896932 fatcat:wslfs3llrzg6vdtwixqtzabyq4

HAPT2D: high accuracy of prediction of T2D with a model combining basic and advanced data depending on availability

Barbara Di Camillo, Liisa Hakaste, Francesco Sambo, Rafael Gabriel, Jasmina Kravic, Bo Isomaa, Jaakko Tuomilehto, Margarita Alonso, Enrico Longato, Andrea Facchinetti, Leif C Groop, Claudio Cobelli (+1 others)
2018 European Journal of Endocrinology  
Objective Type 2 diabetes arises from the interaction of physiological and lifestyle risk factors.  ...  Our objective was to develop a model for predicting the risk of T2D, which could use various amounts of background information.  ...  Acknowledgements The authors thank their collaborators in the MOSAIC study for fruitful discussions and the Botnia Study Group for clinically studying the BPS and PPP-Botnia participants.  ... 
doi:10.1530/eje-17-0921 pmid:29371336 fatcat:lqg7jg7z3va5rojfgwamfqe2ni
« Previous Showing results 1 — 15 out of 192 results