Study workflow.
<p>Outpatient visits at the Memory Diagnostic Center with a Clinical Dementia Rating recorded in the Washington University School of Medicine Electronic Health Records were included. Feature selection was performed to identify the optimal set of features for clustering. The SillyPutty algorith...
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2024
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| _version_ | 1852025183188025344 |
|---|---|
| author | Sayantan Kumar (20208872) |
| author2 | Inez Y. Oh (20208875) Suzanne E. Schindler (7057418) Nupur Ghoshal (12019647) Zachary Abrams (3509720) Philip R. O. Payne (9958153) |
| author2_role | author author author author author |
| author_facet | Sayantan Kumar (20208872) Inez Y. Oh (20208875) Suzanne E. Schindler (7057418) Nupur Ghoshal (12019647) Zachary Abrams (3509720) Philip R. O. Payne (9958153) |
| author_role | author |
| dc.creator.none.fl_str_mv | Sayantan Kumar (20208872) Inez Y. Oh (20208875) Suzanne E. Schindler (7057418) Nupur Ghoshal (12019647) Zachary Abrams (3509720) Philip R. O. Payne (9958153) |
| dc.date.none.fl_str_mv | 2024-11-14T18:30:19Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0313425.g001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Study_workflow_/27735116 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Neuroscience Biotechnology Mental Health Virology revealing new insights ongoing temporal relationship expensive imaging biomarkers xlink "> dementia dementia specialty clinics dementia &# 8217 cognitive assessment scores estimate subtypes within driven unsupervised clustering dementia using data related dementia dementia subtyping driven subtypes cognitive profiles mild dementia underlying heterogeneity significant enough results showed recent research patients seen impair function hierarchical clustering finding data examining heterogeneity disease progression different symptoms different rates daily living current studies clustering analysis baseline visits allowing us |
| dc.title.none.fl_str_mv | Study workflow. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Outpatient visits at the Memory Diagnostic Center with a Clinical Dementia Rating recorded in the Washington University School of Medicine Electronic Health Records were included. Feature selection was performed to identify the optimal set of features for clustering. The SillyPutty algorithm [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0313425#pone.0313425.ref027" target="_blank">27</a>] with hierarchical clustering was used to identify clusters from longitudinal patient visits. Identified clusters were analyzed for variability (heterogeneity) in cognitive characteristics. Patient transitions between subtypes across multiple visits were examined for variability in rate of disease progression.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_58fa9cdcbb25c01101cccded54aea18e |
| identifier_str_mv | 10.1371/journal.pone.0313425.g001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27735116 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Study workflow.Sayantan Kumar (20208872)Inez Y. Oh (20208875)Suzanne E. Schindler (7057418)Nupur Ghoshal (12019647)Zachary Abrams (3509720)Philip R. O. Payne (9958153)MedicineNeuroscienceBiotechnologyMental HealthVirologyrevealing new insightsongoing temporal relationshipexpensive imaging biomarkersxlink "> dementiadementia specialty clinicsdementia &# 8217cognitive assessment scoresestimate subtypes withindriven unsupervised clusteringdementia using datarelated dementiadementia subtypingdriven subtypescognitive profilesmild dementiaunderlying heterogeneitysignificant enoughresults showedrecent researchpatients seenimpair functionhierarchical clusteringfinding dataexamining heterogeneitydisease progressiondifferent symptomsdifferent ratesdaily livingcurrent studiesclustering analysisbaseline visitsallowing us<p>Outpatient visits at the Memory Diagnostic Center with a Clinical Dementia Rating recorded in the Washington University School of Medicine Electronic Health Records were included. Feature selection was performed to identify the optimal set of features for clustering. The SillyPutty algorithm [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0313425#pone.0313425.ref027" target="_blank">27</a>] with hierarchical clustering was used to identify clusters from longitudinal patient visits. Identified clusters were analyzed for variability (heterogeneity) in cognitive characteristics. Patient transitions between subtypes across multiple visits were examined for variability in rate of disease progression.</p>2024-11-14T18:30:19ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0313425.g001https://figshare.com/articles/figure/Study_workflow_/27735116CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/277351162024-11-14T18:30:19Z |
| spellingShingle | Study workflow. Sayantan Kumar (20208872) Medicine Neuroscience Biotechnology Mental Health Virology revealing new insights ongoing temporal relationship expensive imaging biomarkers xlink "> dementia dementia specialty clinics dementia &# 8217 cognitive assessment scores estimate subtypes within driven unsupervised clustering dementia using data related dementia dementia subtyping driven subtypes cognitive profiles mild dementia underlying heterogeneity significant enough results showed recent research patients seen impair function hierarchical clustering finding data examining heterogeneity disease progression different symptoms different rates daily living current studies clustering analysis baseline visits allowing us |
| status_str | publishedVersion |
| title | Study workflow. |
| title_full | Study workflow. |
| title_fullStr | Study workflow. |
| title_full_unstemmed | Study workflow. |
| title_short | Study workflow. |
| title_sort | Study workflow. |
| topic | Medicine Neuroscience Biotechnology Mental Health Virology revealing new insights ongoing temporal relationship expensive imaging biomarkers xlink "> dementia dementia specialty clinics dementia &# 8217 cognitive assessment scores estimate subtypes within driven unsupervised clustering dementia using data related dementia dementia subtyping driven subtypes cognitive profiles mild dementia underlying heterogeneity significant enough results showed recent research patients seen impair function hierarchical clustering finding data examining heterogeneity disease progression different symptoms different rates daily living current studies clustering analysis baseline visits allowing us |