Breast Cancer Patients' Depression Prediction by Machine Learning Approach

被引：11
|
作者：
Cvetkovic, Jovana [1 ]
机构：
[1] Univ Pristina, Sch Med, Clin Neuropsychiat, Anri Dinana Bb 38220, Kosovska Mitrov, Serbia
来源：
CANCER INVESTIGATION | 2017年 / 35卷 / 08期
关键词：
prediction; depression; breast cancer; machine learning; QUALITY-OF-LIFE; ANXIETY; TRIAL;
D O I：
10.1080/07357907.2017.1363892
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
One of the most common cancer in females is breasts cancer. This cancer can has high impact on the women including health and social dimensions. One of the most common social dimension is depression caused by breast cancer. Depression can impairs life quality. Depression is one of the symptom among the breast cancer patients. One of the solution is to eliminate the depression in breast cancer patients is by treatments but these treatments can has different unpredictable impacts on the patients. Therefore it is suitable to develop algorithm in order to predict the depression range.
引用
收藏
页码：569 / 572
页数：4
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