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Original Articles

Breast Cancer Patients' Depression Prediction by Machine Learning Approach

Pages 569-572 | Received 05 Jul 2017, Accepted 01 Aug 2017, Published online: 05 Sep 2017

References

  • Sajjad S, Ali A, Gul RB, Mateen A, Rozi S. The effect of individualized patient education, along with emotional support, on the quality of life of breast cancer patients – A pilot study. Eur J Oncol Nurs 2016;21:75–82.
  • Zhou K, Li X, Li J, Liu M, Dang S, Wang D, Xin X. A clinical randomized controlled trial of music therapy and progressive muscle relaxation training in female breast cancer patients after radical mastectomy: Results on depression, anxiety and length of hospital stay. Eur J Oncol Nurs. 2015; 19:54–59.
  • Saboonchi F, Petersson LM, Wennman-Larsen A, Alexanderson K, Br€annstr€om R, Vaez M. Changes in caseness of anxiety and depression in breast cancer patients during the first year following surgery: Patterns of transiency and severity of the distress response. Eur J Onco Nurs. 2014;18:598–604.
  • Yagli NV, Ulger O. The effects of yoga on the quality of life and depression in elderly breast cancer patients. Complementary Ther Clin Pract. 2015;21:7–10.
  • Maass WMC, Roorda C, Berendsen AJ, Verhaak PFM, de Bock GH. The prevalence of long-term symptoms of depression and anxiety after breast cancer treatment: A systematic review. Maturitas. 2015;82:100–108.
  • Ho SY, Rohan KJ, Parent J, Tager FA, McKinley PS. A longitudinal study of depression, fatigue, and sleep disturbances as a symptom cluster in women with breast cancer. Journal of pain and symptom management. 2015 Apr 30;49(4):707–15.
  • Park HY, Lee BJ, Kim JH, Bae JN, Hahm BJ, Rapid improvement of depression and quality of life with escitalopram treatment in outpatients with breast cancer: A 12-week, open-label prospective trial. Prog Neuro-Psychopharmacol Biological Psychiat. 2012;36:318–323.
  • Huang GB, Zhu QY, Siew CK. Extreme learning machine: A new learning scheme of feedforward neural networks. Int Joint Conf Neural Networks. 2004;2:985–990.
  • Wang D, Huang GB. Protein Sequence Classification Using Extreme Learning Machine. Proc Int Joint Conf Neural Networks. 2005;3:1406–1411.
  • Huang GB, Zhu QY, Siew CK. Real-time learning capability of neural networks. Technical Report ICIS/45/2003, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. 2003.
  • Herrera F, Lozano M, Verdegay JL, A learning process for fuzzy control rules using genetic algorithms. Fuzzy Sets Syst. 1998;100 (1–3):143–158.
  • Vredenburg K, Krames L, Flett GL. Reexamining the Beck Depression Inventory: the long and short of it. Psychol Rep. 1985;56:767–78.
  • Cvetković J, Nenadović M. Depression in breast cancer patients. Psychiat Res. 2016;240:343–347.
  • Cvetković J, Cvetković M. Investigation of the depression in breast cancer patients by computational intelligence technique. Comput Human Behav. 2017;68:228–231.

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