A symptom graph is built based on the co-occurrences of the symptoms. Finally, a graph clustering algorithm is developed to discover the symptom clusters.
Jun 7, 2023 · This research proposes a computational system, SymptomGraph, to identify the symptom clusters in the narrative text of written clinical notes in ...
This research proposes a computational system, SymptomGraph, to identify the symptom clusters in the narrative text of written clinical notes in electronic ...
We present an important clinical application of SympGraph: symptom expansion, which can expand a given set of symptoms to other related symptoms by analyzing ...
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This research proposes a computational system, SymptomGraph, to identify the symptom clusters in the narrative text of written clinical notes in electronic ...
Fattah Muhammad Tahabi, Susan Storey, and Xiao Luo. (2023). "SymptomGraph: Identifying Symptom Clusters from Narrative Clinical Notes using Graph Clustering".
Our results show that SymptomGraph can identify the typical symptom clusters of colorectal cancer patients' post-chemotherapy. The results also show that ...
SymptomGraph: Identifying Symptom Clusters from Narrative Clinical Notes using Graph Clustering. FM Tahabi, S Storey, X Luo. Proceedings of the 38th ACM ...
Metho... View · SymptomGraph: Identifying Symptom Clusters from Narrative Clinical Notes using Graph Clustering. Conference Paper. Jun 2023.
Analysis of Clustering Algorithms in Machine Learning for Healthcare Data · SymptomGraph: Identifying Symptom Clusters from Narrative Clinical Notes using Graph ...