160 related articles for article (PubMed ID: 35509861)
1. Predicting Characteristics Associated with Breast Cancer Survival Using Multiple Machine Learning Approaches.
Haque MN; Tazin T; Khan MM; Faisal S; Ibraheem SM; Algethami H; Almalki FA
Comput Math Methods Med; 2022; 2022():1249692. PubMed ID: 35509861
[TBL] [Abstract][Full Text] [Related]
2. Predicting factors for survival of breast cancer patients using machine learning techniques.
Ganggayah MD; Taib NA; Har YC; Lio P; Dhillon SK
BMC Med Inform Decis Mak; 2019 Mar; 19(1):48. PubMed ID: 30902088
[TBL] [Abstract][Full Text] [Related]
3. Application of machine learning techniques for predicting survival in ovarian cancer.
Sorayaie Azar A; Babaei Rikan S; Naemi A; Bagherzadeh Mohasefi J; Pirnejad H; Bagherzadeh Mohasefi M; Wiil UK
BMC Med Inform Decis Mak; 2022 Dec; 22(1):345. PubMed ID: 36585641
[TBL] [Abstract][Full Text] [Related]
4. Breast Tumor Detection Using Robust and Efficient Machine Learning and Convolutional Neural Network Approaches.
Khan MM; Tazin T; Zunaid Hussain M; Mostakim M; Rehman T; Singh S; Gupta V; Alomeir O
Comput Intell Neurosci; 2022; 2022():6333573. PubMed ID: 35712068
[TBL] [Abstract][Full Text] [Related]
5. Comparison of Classification Success Rates of Different Machine Learning Algorithms in the Diagnosis of Breast Cancer.
Ozcan I; Aydin H; Cetinkaya A
Asian Pac J Cancer Prev; 2022 Oct; 23(10):3287-3297. PubMed ID: 36308351
[TBL] [Abstract][Full Text] [Related]
6. Machine learning models in breast cancer survival prediction.
Montazeri M; Montazeri M; Montazeri M; Beigzadeh A
Technol Health Care; 2016; 24(1):31-42. PubMed ID: 26409558
[TBL] [Abstract][Full Text] [Related]
7. Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models.
Devi S; Kaul Ghanekar R; Pande JA; Dumbre D; Chavan R; Gupta H
Asian Pac J Cancer Prev; 2024 Mar; 25(3):1077-1085. PubMed ID: 38546090
[TBL] [Abstract][Full Text] [Related]
8. Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods.
Taghizadeh E; Heydarheydari S; Saberi A; JafarpoorNesheli S; Rezaeijo SM
BMC Bioinformatics; 2022 Oct; 23(1):410. PubMed ID: 36183055
[TBL] [Abstract][Full Text] [Related]
9. A Model for Predicting Cervical Cancer Using Machine Learning Algorithms.
Al Mudawi N; Alazeb A
Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684753
[TBL] [Abstract][Full Text] [Related]
10. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
[TBL] [Abstract][Full Text] [Related]
11. Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease.
Khalid H; Khan A; Zahid Khan M; Mehmood G; Shuaib Qureshi M
Comput Intell Neurosci; 2023; 2023():9266889. PubMed ID: 36959840
[TBL] [Abstract][Full Text] [Related]
12. Statistical analysis of blood characteristics of COVID-19 patients and their survival or death prediction using machine learning algorithms.
Mazloumi R; Abazari SR; Nafarieh F; Aghsami A; Jolai F
Neural Comput Appl; 2022; 34(17):14729-14743. PubMed ID: 35571512
[TBL] [Abstract][Full Text] [Related]
13. An integrative machine learning framework for classifying SEER breast cancer.
Manikandan P; Durga U; Ponnuraja C
Sci Rep; 2023 Apr; 13(1):5362. PubMed ID: 37005484
[TBL] [Abstract][Full Text] [Related]
14. Breast Cancer Prediction Based on Multiple Machine Learning Algorithms.
Zhou S; Hu C; Wei S; Yan X
Technol Cancer Res Treat; 2024; 23():15330338241234791. PubMed ID: 38592291
[TBL] [Abstract][Full Text] [Related]
15. Application of machine learning approaches for osteoporosis risk prediction in postmenopausal women.
Shim JG; Kim DW; Ryu KH; Cho EA; Ahn JH; Kim JI; Lee SH
Arch Osteoporos; 2020 Oct; 15(1):169. PubMed ID: 33097976
[TBL] [Abstract][Full Text] [Related]
16. Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree.
Li K; Shi Q; Liu S; Xie Y; Liu J
Medicine (Baltimore); 2021 May; 100(19):e25813. PubMed ID: 34106618
[TBL] [Abstract][Full Text] [Related]
17. Performance analysis and prediction of type 2 diabetes mellitus based on lifestyle data using machine learning approaches.
Ganie SM; Malik MB; Arif T
J Diabetes Metab Disord; 2022 Jun; 21(1):339-352. PubMed ID: 35673418
[TBL] [Abstract][Full Text] [Related]
18. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
[TBL] [Abstract][Full Text] [Related]
19. Machine Learning and Deep Learning Approaches in Breast Cancer Survival Prediction Using Clinical Data.
Kalafi EY; Nor NAM; Taib NA; Ganggayah MD; Town C; Dhillon SK
Folia Biol (Praha); 2019; 65(5-6):212-220. PubMed ID: 32362304
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data.
Jiang X; Xu C
J Clin Med; 2022 Sep; 11(19):. PubMed ID: 36233640
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]