Breast Cancer Symptom Clusters Derived From Social Media and Research Study Data Using Improved $K$ -Medoid Clustering
Citations
55 citations
20 citations
Cites background or methods from "Breast Cancer Symptom Clusters Deri..."
...9, DBSCAN, OPTICS, KKCLUST, and FRSEC outperform AP and K-medoid in most cases, because density-based clustering has prominent advantages over partition-based clustering approaches in discovering clusters of arbitrary shapes....
[...]
...They are AP [2], K-medoid [1], ordering points to identify the clustering structure (OPTICS) [35], KNN-kernel density-based clustering (KNNCLUST) [34], and DBSCAN [32]....
[...]
...We use NC to denote the number of clusters obtained self-adaptively by DBSCAN, OPTICS, AP, KNNCLUST, and FRSEC or the preset value before running K-medoid....
[...]
...9 in which the results about standard deviations only appear in both FRSEC and K-medoid, due to randomness in the execution of them....
[...]
...Besides, in order to get good clustering results for datasets with spherically shaped clusters, K-medoid stores a relatively small set of estimated cluster centers at each step and then improves the obtained solutions by the strategy which begins with a large number of clusters and then manages to prune them....
[...]
20 citations
Cites methods from "Breast Cancer Symptom Clusters Deri..."
...To preserve the features of the bids, the K-medoids method [36] is utilized, which can retain the clustering centers in a stepwise format....
[...]
19 citations
Cites background from "Breast Cancer Symptom Clusters Deri..."
...Based on online data that patients or their parents wrote about symptoms, there were studies that helped individuals, including pain, fatigue, sleep, weight changes, emotions, feelings, drugs, and nutrition [67–69, 172, 191, 204, 278, 289, 302]....
[...]
18 citations
Cites methods from "Breast Cancer Symptom Clusters Deri..."
...In paper [1] author chases to resolve impression of syndrome clusters in breast cancer scraps evolved from both social media and research study data using improved K-medoid clustering....
[...]
References
14,144 citations
"Breast Cancer Symptom Clusters Deri..." refers background in this paper
...More details related to this paper were reported in [35]....
[...]
2,062 citations
"Breast Cancer Symptom Clusters Deri..." refers background in this paper
...Fan et al. [22] utilized principal component analysis to identify three symptom clusters in clinical surveys of patients with metastatic cancer....
[...]
1,481 citations
"Breast Cancer Symptom Clusters Deri..." refers background in this paper
...cluster as the centroid of the cluster for the next iteration partitioning while K -means takes the mean of the members within a cluster as the virtual centroid of the cluster for the next iteration partitioning [37]....
[...]
777 citations
"Breast Cancer Symptom Clusters Deri..." refers background in this paper
...Symptoms may be related in various ways, such as sharing a common etiology, interacting, and influencing one another, or sharing a common variance [19]....
[...]
724 citations
"Breast Cancer Symptom Clusters Deri..." refers background in this paper
...Sarker and Gonzalez [5] introduced a model for ADR detection by selecting natural language processingbased features extracted from social media texts....
[...]