Unsupervised machine learning methods and emerging applications in healthcare

Identifying temporal and spatial patterns of variation from multimodal data using MEFISTO

(2022) Britta Velten et al.   NATURE METHODS

Osteoarthritis endotype discovery via clustering of biochemical marker data

(2022) Federico Angelini et al.   ANNALS OF THE RHEUMATIC DISEASES

A Hierarchical Clustering Approach for Examining Potential Risk Factors for Bone Stress Injury in Runners

(2022) Jack A. Martin et al.   JOURNAL OF BIOMECHANICS

Extracellular Vesicle-Encapsulated microRNAs as Novel Biomarkers of Lung Health

(2022) Christina M Eckhardt et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Average Linkage Hierarchical Clustering Algorithm for Determining the Relationships between Elements in Coal

(2021) Na Xu et al.   ACS Omega

Principal Component Analysis of Knee Joint Differences Between Bilateral and Unilateral Total Knee Replacement Patients During Level Walking

(2021) Derek Yocum et al.   JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME

Exploratory Factor Analysis of the Fear-Avoidance Beliefs Questionnaire in Patients with Chronic Ankle Instability

(2021) Bridget M. Walsh et al.   Foot

Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm, Minimum Spanning Tree, and Hierarchical Clustering in an Applied Study

(2020) Saeedeh Pourahmad et al.   Computational and Mathematical Methods in Medicine

Application of Machine Learning for Predicting Clinically Meaningful Outcome After Arthroscopic Femoroacetabular Impingement Surgery

(2019) Benedict U. Nwachukwu et al.   AMERICAN JOURNAL OF SPORTS MEDICINE

Points of Significance: Clustering

(2017) Naomi Altman et al.   NATURE METHODS

Points of Significance: Principal component analysis

(2017) Jake Lever et al.   NATURE METHODS