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Analysis of diabetic patients through their examination history

Dario Antonelli, Elena Baralis, Giulia Bruno, Tania Cerquitelli, Silvia Chiusano, Naeem Mahoto
2013 Expert systems with applications  
This paper proposes a data analysis framework based on a multiple-level clustering technique to identify the examination pathways commonly followed by patients with a given disease.  ...  As a case study, the proposed approach has been applied to the diabetic care scenario.  ...  Acknowledgments The authors wish to thank Dr. Baudolino Mussa and Dr. Dario Bellomo for their advice and fruitfull discussions.  ... 
doi:10.1016/j.eswa.2013.02.006 fatcat:oavisp4e3fcezbnrch73e2crkm

Analysis of Medical Treatments Using Data Mining Techniques

Xin Xiao, Silvia Chiusano
2014 The IEEE intelligent informatics bulletin  
The clustering approach is named multiple-level because we apply the clustering algorithm in a multiple-level fashion, by focusing on different dataset portions and locally identifying groups of patients  ...  For example, data collections on patient treatments are usually characterized by an inherent sparseness and variable distribution, due to the large variety of possible treatments performed by patients  ...  This model can be used to automatically assign a new patient to a given class based on her/his profile and examination history.  ... 
dblp:journals/cib/XiaoC14 fatcat:kpikzxeiajf35kjciemgx7p4gm

Protocol for the Northern Manhattan Diabetes Community Outreach Project. A randomised trial of a community health worker intervention to improve diabetes care in Hispanic adults

Walter Palmas, Jeanne A Teresi, Sally Findley, Miriam Mejia, Milagros Batista, Jian Kong, Stephanie Silver, Jose A Luchsinger, Olveen Carrasquillo
2012 BMJ Open  
In order to determine the best approach, two basic models could be examined. One is a basic t test or ANCOVA approach, with inclusion of a random effect for PCP to model the clustered data.  ...  The second is a repeated measures approach that examines time as continuous.  ... 
doi:10.1136/bmjopen-2012-001051 pmid:22454189 pmcid:PMC3330252 fatcat:a4rnhi3nzzb4xar5rmvun2jk6m

Integrating Machine Learning With Microsimulation to Classify Hypothetical, Novel Patients for Predicting Pregabalin Treatment Response Based on Observational and Randomized Data in Patients With Painful Diabetic Peripheral Neuropathy

Joe Alexander Jr, Roger A Edwards, Luigi Manca, Roberto Grugni, Gianluca Bonfanti, Birol Emir, Ed Whalen, Steve Watt, Marina Brodsky, Bruce Parsons
2019 Pragmatic and Observational Research  
We evaluated machine learning methods to predict novel, individual patient responses to pregabalin for painful diabetic peripheral neuropathy, utilizing an agent-based modeling and simulation platform  ...  Assignment of novel patients to a cluster of similar patients has the potential to improve prediction of patient outcomes for chronic conditions in which initial treatment response can be incorporated  ...  The kNN approach also assigned a patient to a cluster, by not selecting clusters that would not be applicable to that patient (eg, if the patient is male, then the all-female clusters could not be considered  ... 
doi:10.2147/por.s214412 pmid:31802967 pmcid:PMC6827520 fatcat:f4cfjrz5mnhn3egzii4exyyofq

Exploitation of Clustering Techniques in Transactional Healthcare Data

Naeem Ahmad Mahoto, Faisal Karim Shaikh, Abdul Qadir Ansari
2014 Mehran University Research Journal of Engineering and Technology  
This paper exploits three different clustering algorithms: DBSCAN (Density-Based Clustering), agglomerative hierarchical and k-means in real transactional healthcare data of diabetic patients (taken as  ...  case study) to analyse their performance in large and dispersed healthcare data.  ...  ACKNOWLEDGEMENTS The authors wish to thank Giulia Bruno and Silvia Chiusano for their fruitful discussions.  ... 
doaj:5ed457d2db484bbe995d4b757ef9d4c9 fatcat:kj7og23pn5anvnlyw3d3xacomu

Exploiting clustering algorithms in a multiple-level fashion: A comparative study in the medical care scenario

Tania Cerquitelli, Silvia Chiusano, Xin Xiao
2016 Expert systems with applications  
Results have been also discussed from a medical perspective. keywords: Cluster analysis, data with a variable distribution, diabetic patient treatments, multiple-level method, comparison.  ...  for a given disease pathology.  ...  (a) Discover, for each cluster, the examinations actually prescribed to diabetic patients included in the cluster.  ... 
doi:10.1016/j.eswa.2016.02.005 fatcat:gpwrxsthbja2hndleqgbzrmj7e

Patients phenotypes and cardiovascular risk in type 2 diabetes: the Jackson Heart Study

Justin B. Echouffo-Tcheugui, Solomon K. Musani, Alain G. Bertoni, Adolfo Correa, Ervin R. Fox, Robert J. Mentz
2022 Cardiovascular Diabetology  
To inform the cardiovascular prognosis among diabetic individuals, we conducted phenotyping using a clustering approach based on clinical data, echocardiographic indices and biomarkers.  ...  Results Cluster analysis separated individuals with diabetes (68% women, mean age 60 ± 10 years) into three distinct clusters (Clusters 1,2 &3 - with Cluster 3 being a hypertrophic cluster characterized  ...  analytical approach to analysis to identify clusters of patients with unique phenotypes with a prognosis value.  ... 
doi:10.1186/s12933-022-01501-z pmid:35650579 pmcid:PMC9161484 fatcat:kx6mcnvf65fafb7gusctsrcc6e

Does the behavioural type-specific approach for type 2 diabetes promote changes in lifestyle? Protocol of a cluster randomised trial in Japan

Misa Adachi, Kazue Yamaoka, Mariko Watanabe, Asuka Nemoto, Toshiro Tango
2017 BMJ Open  
Does the behavioural type-specific approach for type 2 diabetes promote changes in lifestyle? Protocol of a cluster randomised trial in Japan.  ...  Furthermore, the behavioural type classification method is the first of its kind to be used for operational classification based on analysed data on patients' intention to improve their health, patients  ... 
doi:10.1136/bmjopen-2017-017838 pmid:29070640 pmcid:PMC5665225 fatcat:dlg6olvi7zg4xf6mbfqm5k25dm

Cluster randomised controlled trial of a theory-based multiple behaviour change intervention aimed at healthcare professionals to improve their management of type 2 diabetes in primary care

Justin Presseau, Joan Mackintosh, Gillian Hawthorne, Jill J. Francis, Marie Johnston, Jeremy M. Grimshaw, Nick Steen, Tom Coulthard, Heather Brown, Eileen Kaner, Marko Elovainio, Falko F. Sniehotta
2018 Implementation Science  
and having a foot examination; and from a patient survey of a random sample of 100 patients per practice, reported receipt of updated diabetes education and physical activity and nutrition advice.  ...  National diabetes audits in the UK show room for improvement in the quality of care delivered to people with type 2 diabetes in primary care.  ...  Margaret Hunter, MBE, for providing a patient voice in the design of the trial and the development of the intervention and materials, and the intervention deliverers (Dr. Darren Flynn, Dr.  ... 
doi:10.1186/s13012-018-0754-5 pmid:29720209 pmcid:PMC5930437 fatcat:ddbxk2vzsfa7jc6dbxpq6ksskm

Multimorbidity combinations, costs of hospital care and potentially preventable emergency admissions in England: A cohort study

Jonathan Stokes, Bruce Guthrie, Stewart W. Mercer, Nigel Rice, Matt Sutton, Laura C. Rosella
2021 PLoS Medicine  
We examined the distribution of costs across unique disease combinations to test the potential of the cluster approach for targeting interventions at high costs.  ...  We aimed to examine the potential of defining multimorbidity clusters for impacting secondary care costs.  ...  We examined the distribution of costs across unique disease combinations to test the potential of the cluster approach for targeting interventions at high costs.  ... 
doi:10.1371/journal.pmed.1003514 pmid:33439870 fatcat:df2ljsp7avcf5iwz6p3rufdgva


Sarah F. Ackley, Teresa J. Filshtein, Melinda C. Power, Willa D. Brenowitz, Kan Z. Gianattasio, Xiang Li, M. Maria Glymour
2019 Alzheimer's & Dementia  
We then estimated the association of diabetes with verbal reasoning score by adjusting for the random forest-based propensity score, by adjusting for a propensity score obtained using logistic regression  ...  We identified relevant clinical features to include from literature and extracted them for each patient.  ...  Conventionally, ontologies are optimised for specific usecases which involve structural complexity which is rarely relevant to cohort-based analyses and although cohort datasets are complex, the conventions  ... 
doi:10.1016/j.jalz.2019.06.1160 fatcat:pvxkv27ouvgz7pratcybikmjv4

Improving Diabetes care through Examining, Advising, and prescribing (IDEA): protocol for a theory-based cluster randomised controlled trial of a multiple behaviour change intervention aimed at primary healthcare professionals

Justin Presseau, Gillian Hawthorne, Falko F Sniehotta, Nick Steen, Jill J Francis, Marie Johnston, Joan Mackintosh, Jeremy M Grimshaw, Eileen Kaner, Marko Elovainio, Mark Deverill, Tom Coulthard (+3 others)
2014 Implementation Science  
Design/methods: We will conduct a two-armed cluster randomised controlled trial in 44 general practices in the North East of England to evaluate a theory-based behaviour change intervention.  ...  The present study builds on findings from a UK-wide study of theory-based behavioural and organisational factors associated with prescribing, advising, and examining consistent with high-quality diabetes  ...  Acknowledgements Funding provided by a grant from Diabetes UK (11/0004367  ... 
doi:10.1186/1748-5908-9-61 pmid:24886606 pmcid:PMC4049486 fatcat:zmyt66kudvfuth64qwx4bcqsza

Non-invasive method to analyse the risk of developing diabetic foot

Rebeca N. Silva, Bruno H.G. Barbosa, Danton D. Ferreira, Ana C.B.H. Ferreira
2014 Healthcare technology letters  
The method requires a simple computational processing and can be useful for basic health units to triage diabetic patients helping the health-care team to reduce the number of cases of diabetic foot.  ...  To prevent diabetic foot, an automatic non-invasive method to identify patients with diabetes who have a high risk of developing diabetic foot is proposed.  ...  [2] conducted a study to develop a system for monitoring and management advisory in diabetic patients using the rule-based method and the K-nearest neighbour algorithm. Antonelli et al.  ... 
doi:10.1049/htl.2014.0076 pmid:26609394 pmcid:PMC4611851 fatcat:qsntdswf35bgfhwi2dfu25dsnm

Diabetes in rural towns: effectiveness of continuing education and feedback for healthcare providers in altering diabetes outcomes at a population level: protocol for a cluster randomised controlled trial

Christine L Paul, Leon Piterman, Jonathan Shaw, Catherine Kirby, Robert W Sanson-Fisher, Mariko L Carey, Jennifer Robinson, Patrick McElduff, Isaraporn Thepwongsa
2013 Implementation Science  
This research aims to examine the impact of a primarily web-based educational intervention on the diabetes care provided by general practitioners (GPs) in rural areas, and subsequent patient outcomes.  ...  A population-level approach to outcome assessment is used, via whole-town de-identified pathology records.  ...  This approach was used to exclude those cases where a single HbA1c test had been used to screen for diabetes.  ... 
doi:10.1186/1748-5908-8-30 pmid:23497486 pmcid:PMC3600674 fatcat:ll6xelf6o5eepn2psb6yqpvire

The impact of integrating medical assistants and community health workers on diabetes care management in community health centers

Hector P Rodriguez, Mark W Friedberg, Arturo Vargas-Bustamante, Xiao Chen, Ana E Martinez, Dylan H Roby
2018 BMC Health Services Research  
A three-arm cluster-randomized trial of CHC sites integrating MAs (n = 3) or CHWs (n = 3) for diabetes care management compared control CHC sites (n = 10).  ...  Greater improvement using CHW and MA team-based approaches may be possible if practice leaders minimize use of these personnel to cover shortages that often arise in busy primary care practices.  ...  We thank Phillip Van der Wees and Dahn Lai for their assistance with key informant interviews and Nigel Lo for his support with programming and statistical analyses.  ... 
doi:10.1186/s12913-018-3710-9 pmid:30458778 pmcid:PMC6247511 fatcat:4iqxtwzz3vgvjnmkjuwvmh24dy
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