In this research, we investigate a symptom clustering and association mining framework to firstly extract and cluster the symptoms from the Electronic Health ...
A symptom clustering and association mining framework is investigated to firstly extract and cluster the symptoms from the Electronic Health Record (EHR) ...
Sep 10, 2019 · Identifying Symptom Clusters in Breast Cancer and Colorectal. Cancer Patients using EHR Data. In 10th ACM International Conference on.
Patients with chronic conditions such as breast cancer and colorectal cancer often present with different symptoms, such 'fatigue', 'pain' and 'depression'.
In this research, we investigate a symptom clustering and association mining framework to firstly extract and cluster the symptoms from the Electronic Health ...
Researchers use EHRs to identify cancer symptom clusters
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Oct 22, 2019 · Using algorithms they developed, the researchers found that the symptom clusters were not the same for breast cancer patients and colorectal ...
In this research, we use EHR data and focus on mining and analyzing the symptom clusters of patients with or without type 2 diabetes (T2D) and diagnosed with ...
This research extracted patient-reported symptoms from free-text EHR notes of colorectal and breast cancer patients and studied the correlation of the ...
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Mar 16, 2021 · This research extracted patient-reported symptoms from free-text EHR notes of colorectal and breast cancer patients and studied the correlation of the symptoms ...
By analyzing free text clinical notes and extracting information from structured entries in EHRs, investigators were able to identify symptom clusters—those ...