Breast Cancer
Conditions
Keywords
rehabilitation, breast cancer
Brief summary
Breast cancer patients who had undergone surgery, chemotherapy and radiotherapy suffered from complications, including shoulder stiffness, lymphedema and scar contracture. These symptoms impaired one's ADL function. Rehabilitation may relieved symptoms. However, it is difficult to estimate how long one should receive rehabilitation. The study is trying to establish a machine-learning based model in order to predict the period of rehabilitation.
Detailed description
Breast cancer survivors suffered from complications after surgery, chemotherapy and radiotherapy. These complications include shoulder stiffness, upper limb lymphedema and scar contracture, which altogether impaired one's ADL function. Rehabilitation had been approved to relieved these symptoms effectively. However, many factor may interfere the patient's participation of rehabilitation, making it difficult to estimate how long one should receive rehabilitation. In Taiwan, National Health Insurance provides affordable, accessible and unlimited health care and medical service for all citizens, eliminating many social-economic barriers. Thus we are trying to establish a machine-learning based model in order to predict the period of rehabilitation. Our study is a retrospective case-control study. The objectives are breast cancer survivors who attended post-surgery rehabilitation at least once for complications. The following data are collected from e-HIS system: 1. Patient characteristic: age, unilateral or bilateral cancer. 2. Surgery type: total, partial or simple mastectomy. 3. Lymphatic surgery: ALND and SLNB 4. Other surgical procedure: breast reconstruction, flap surgery. 5. Combined therapy: chemotherapy, radiotherapy or hormone therapy. 6. Complications: shoulder stiffness, lymphedema, scar contracture (ex., Axillary web syndrome), neurological deficit. 7. The first between operation and first time of rehabilitation. The primary outcome is the total rehabilitation time, which will be divided as short term (less than 360 min) and long time (more than 360 min). The data will be processed using WEKA and machine learning algorithms, including Logistic regression, supportive vector machine, K-nearest neighbors, decision tree and random forest.
Interventions
the type of tumor removal surgery, combined therapy
Sponsors
Study design
Eligibility
Inclusion criteria
* patients who received operation for breast cancer * attended rehabilitation at least once for breast cancer related complications
Exclusion criteria
* patients who received rehabilitation for other reasons rather than surgical complications * patients who are transfered to other hospital for rehabilitation
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| the rehabilitation time | since the first session of rehabilitation until one year after the last session | total post-operation rehabilitation time (minute) |
Countries
Taiwan