[HTML][HTML] Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes

S Mullin, J Zola, R Lee, J Hu, B MacKenzie… - Journal of biomedical …, 2021 - Elsevier
Identification of patient subtypes from retrospective Electronic Health Record (EHR) data is
fraught with inherent modeling issues, such as missing data and variable length time …

[HTML][HTML] IXVC: An interactive pipeline for explaining visual clusters in dimensionality reduction visualizations with decision trees

A Bibal, A Clarinval, B Dumas, B Frénay - Array, 2021 - Elsevier
High-dimensional data with many features are usually challenging to represent with
standard visualization techniques. Usually, one has to resort to dimensionality reduction …

Exploring the relationship between social networking site usage and participation in protest activities

VH Masías, T Hecking, HU Hoppe - Frontiers in Applied Mathematics …, 2018 - frontiersin.org
A methodological approach is developed for exploring the relationship between the use of
social networking sites and participation in protest activities. Although a recent meta …

DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine

P Salmanian, A Chatzimparmpas, AC Karaca… - arXiv preprint arXiv …, 2024 - arxiv.org
Dimensionality Reduction (DR) techniques such as t-SNE and UMAP are popular for
transforming complex datasets into simpler visual representations. However, while effective …

[PDF][PDF] Clustering of radiotherapy patients based on the usage patterns in the Kaiku Health application and electronic patient-reported outcomes

J Savander - 2023 - aaltodoc.aalto.fi
Cancer can be treated with many different methods, but all of them cause side effects that
affect the quality of life of the patient. These side effects can be monitored and collected …

Identifying and interpreting clusters of persons with similar mobility behaviour change processes

D Jonietz, D Bucher, H Martin, M Raubal - … for All: Selected Papers of the …, 2018 - Springer
With the emergence of new mobility options and various initiatives to increase the
sustainability of our travel behaviour, it is desirable to gain a deeper understanding of our …

Winsorize tree algorithm for handling outlier in classification problem

CK Ch'ng, NI Mahat - International Journal of Operational …, 2020 - inderscienceonline.com
Classification and regression tree (CART) has been widely used nowadays for providing
users supports in classification and prediction. However, having outlier in database is …

Maintenance recommendations using lifecycle clustering

ML Hawley, T Griffith, C Robinson… - US Patent …, 2023 - Google Patents
Methods and systems are provided for predictive maintenance of a vehicle component. One
method involves mapping a current instance of a component of a vehicle to one of plurality …

Cluster analysis of cancer patients' initial session patterns in a patient portal application

M Weiss - 2024 - aaltodoc.aalto.fi
The rising number of cancer patients creates a need for more efficient follow-up of cancer
treatment as well as communication between cancer patients and their healthcare providers …

Pengelompokan Wilayah Berdasarkan Kesejahteraan Sosial Menggunakan Algoritme Self-Organizing Maps Dengan Perbaikan Missing Value K-Nearest Neighbors

DN Firmansyah, S Adinugroho… - … Teknologi Informasi dan …, 2019 - j-ptiik.ub.ac.id
Abstrak Penyandang Masalah Kesejahteraan Sosial (PMKS) merupakan kelompok sosial
yang hidup di bawah garis kesejahteraan masyarakat dan merupakan salah satu komponen …