147 related articles for article (PubMed ID: 35622821)
1. An effective up-sampling approach for breast cancer prediction with imbalanced data: A machine learning model-based comparative analysis.
Tran T; Le U; Shi Y
PLoS One; 2022; 17(5):e0269135. PubMed ID: 35622821
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Diabetes mellitus risk prediction in the presence of class imbalance using flexible machine learning methods.
Sadeghi S; Khalili D; Ramezankhani A; Mansournia MA; Parsaeian M
BMC Med Inform Decis Mak; 2022 Feb; 22(1):36. PubMed ID: 35139846
[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. An intelligent warning model for early prediction of cardiac arrest in sepsis patients.
Layeghian Javan S; Sepehri MM; Layeghian Javan M; Khatibi T
Comput Methods Programs Biomed; 2019 Sep; 178():47-58. PubMed ID: 31416562
[TBL] [Abstract][Full Text] [Related]
6. Predicting Breast Cancer in Chinese Women Using Machine Learning Techniques: Algorithm Development.
Hou C; Zhong X; He P; Xu B; Diao S; Yi F; Zheng H; Li J
JMIR Med Inform; 2020 Jun; 8(6):e17364. PubMed ID: 32510459
[TBL] [Abstract][Full Text] [Related]
7. The severity prediction of the binary and multi-class cardiovascular disease - A machine learning-based fusion approach.
Kibria HB; Matin A
Comput Biol Chem; 2022 Jun; 98():107672. PubMed ID: 35390751
[TBL] [Abstract][Full Text] [Related]
8. SSC: The novel self-stack ensemble model for thyroid disease prediction.
Ji S
PLoS One; 2024; 19(1):e0295501. PubMed ID: 38170718
[TBL] [Abstract][Full Text] [Related]
9. An ensemble classifier method based on teaching-learning-based optimization for breast cancer diagnosis.
Tuerhong A; Silamujiang M; Xianmuxiding Y; Wu L; Mojarad M
J Cancer Res Clin Oncol; 2023 Sep; 149(11):9337-9348. PubMed ID: 37202580
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Using Machine Learning on Imbalanced Guideline Compliance Data to Optimize Multidisciplinary Tumour Board Decision Making for the Management of Breast Cancer Patients.
Le Thien MA; Redjdal A; Bouaud J; Séroussi B
Stud Health Technol Inform; 2022 Jun; 290():787-788. PubMed ID: 35673125
[TBL] [Abstract][Full Text] [Related]
12. Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying.
Kowalewski KF; Garrow CR; Schmidt MW; Benner L; Müller-Stich BP; Nickel F
Surg Endosc; 2019 Nov; 33(11):3732-3740. PubMed ID: 30790048
[TBL] [Abstract][Full Text] [Related]
13. Personal Health Information Inference Using Machine Learning on RNA Expression Data from Patients With Cancer: Algorithm Validation Study.
Kweon S; Lee JH; Lee Y; Park YR
J Med Internet Res; 2020 Aug; 22(8):e18387. PubMed ID: 32773372
[TBL] [Abstract][Full Text] [Related]
14. Machine Learning Based Comparative Analysis for Breast Cancer Prediction.
Monirujjaman Khan M; Islam S; Sarkar S; Ayaz FI; Ananda MK; Tazin T; Albraikan AA; Almalki FA
J Healthc Eng; 2022; 2022():4365855. PubMed ID: 35449836
[TBL] [Abstract][Full Text] [Related]
15. Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches.
Tarekegn A; Ricceri F; Costa G; Ferracin E; Giacobini M
JMIR Med Inform; 2020 Jun; 8(6):e16678. PubMed ID: 32442149
[TBL] [Abstract][Full Text] [Related]
16. Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network.
Elgin Christo VR; Khanna Nehemiah H; Minu B; Kannan A
Comput Math Methods Med; 2019; 2019():7398307. PubMed ID: 31662787
[TBL] [Abstract][Full Text] [Related]
17. Development of Machine Learning Algorithms for the Prediction of Financial Toxicity in Localized Breast Cancer Following Surgical Treatment.
Sidey-Gibbons C; Pfob A; Asaad M; Boukovalas S; Lin YL; Selber JC; Butler CE; Offodile AC
JCO Clin Cancer Inform; 2021 Mar; 5():338-347. PubMed ID: 33764816
[TBL] [Abstract][Full Text] [Related]
18. Predictive modeling of blood pressure during hemodialysis: a comparison of linear model, random forest, support vector regression, XGBoost, LASSO regression and ensemble method.
Huang JC; Tsai YC; Wu PY; Lien YH; Chien CY; Kuo CF; Hung JF; Chen SC; Kuo CH
Comput Methods Programs Biomed; 2020 Oct; 195():105536. PubMed ID: 32485511
[TBL] [Abstract][Full Text] [Related]
19. Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging.
Qu W; Balki I; Mendez M; Valen J; Levman J; Tyrrell PN
Int J Comput Assist Radiol Surg; 2020 Dec; 15(12):2041-2048. PubMed ID: 32965624
[TBL] [Abstract][Full Text] [Related]
20. Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.
Afzali MH; Sunderland M; Stewart S; Masse B; Seguin J; Newton N; Teesson M; Conrod P
Addiction; 2019 Apr; 114(4):662-671. PubMed ID: 30461117
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]