Literature DB >> 28872366

Breast Cancer Patients' Depression Prediction by Machine Learning Approach.

Jovana Cvetković1.   

Abstract

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.

Entities:  

Keywords:  breast cancer; depression; machine learning; prediction

Mesh:

Year:  2017        PMID: 28872366     DOI: 10.1080/07357907.2017.1363892

Source DB:  PubMed          Journal:  Cancer Invest        ISSN: 0735-7907            Impact factor:   2.176


  2 in total

1.  Predicting Depression in Patients With Knee Osteoarthritis Using Machine Learning: Model Development and Validation Study.

Authors:  Zuzanna Nowinka; M Abdulhadi Alagha; Khadija Mahmoud; Gareth G Jones
Journal:  JMIR Form Res       Date:  2022-09-13

Review 2.  Diagnostic Accuracy of Different Machine Learning Algorithms for Breast Cancer Risk Calculation: a Meta-Analysis

Authors:  Ricvan Dana Nindrea; Teguh Aryandono; Lutfan Lazuardi; Iwan Dwiprahasto
Journal:  Asian Pac J Cancer Prev       Date:  2018-07-27
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.