204 related articles for article (PubMed ID: 37302114)
1. Predictive value of machine learning for breast cancer recurrence: a systematic review and meta-analysis.
Lu D; Long X; Fu W; Liu B; Zhou X; Sun S
J Cancer Res Clin Oncol; 2023 Sep; 149(12):10659-10674. PubMed ID: 37302114
[TBL] [Abstract][Full Text] [Related]
2. An Assessment of the Predictive Performance of Current Machine Learning-Based Breast Cancer Risk Prediction Models: Systematic Review.
Gao Y; Li S; Jin Y; Zhou L; Sun S; Xu X; Li S; Yang H; Zhang Q; Wang Y
JMIR Public Health Surveill; 2022 Dec; 8(12):e35750. PubMed ID: 36426919
[TBL] [Abstract][Full Text] [Related]
3. Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis.
Zhang Y; Xu W; Yang P; Zhang A
BMC Med Inform Decis Mak; 2023 Dec; 23(1):283. PubMed ID: 38082381
[TBL] [Abstract][Full Text] [Related]
4. Predictive Value of Machine Learning for Platinum Chemotherapy Responses in Ovarian Cancer: Systematic Review and Meta-Analysis.
Wang Q; Chang Z; Liu X; Wang Y; Feng C; Ping Y; Feng X
J Med Internet Res; 2024 Jan; 26():e48527. PubMed ID: 38252469
[TBL] [Abstract][Full Text] [Related]
5. The value of machine learning in preoperative identification of lymph node metastasis status in endometrial cancer: a systematic review and meta-analysis.
Ren Z; Chen B; Hong C; Yuan J; Deng J; Chen Y; Ye J; Li Y
Front Oncol; 2023; 13():1289050. PubMed ID: 38173835
[TBL] [Abstract][Full Text] [Related]
6. The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis.
Li Y; Feng Y; He Q; Ni Z; Hu X; Feng X; Ni M
BMC Infect Dis; 2024 May; 24(1):474. PubMed ID: 38711068
[TBL] [Abstract][Full Text] [Related]
7. The predictive value of machine learning and nomograms for lymph node metastasis of prostate cancer: a systematic review and meta-analysis.
Wang H; Xia Z; Xu Y; Sun J; Wu J
Prostate Cancer Prostatic Dis; 2023 Sep; 26(3):602-613. PubMed ID: 37488275
[TBL] [Abstract][Full Text] [Related]
8. Predictive Value of Machine Learning Models in Postoperative Mortality of Older Adults Patients with Hip Fracture: A Systematic Review and Meta-analysis.
Liu F; Liu C; Tang X; Gong D; Zhu J; Zhang X
Arch Gerontol Geriatr; 2023 Dec; 115():105120. PubMed ID: 37473692
[TBL] [Abstract][Full Text] [Related]
9. Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis.
Wang J; Yin MJ; Wen HC
BMC Med Inform Decis Mak; 2023 Jul; 23(1):142. PubMed ID: 37507752
[TBL] [Abstract][Full Text] [Related]
10. Predicting breast cancer 5-year survival using machine learning: A systematic review.
Li J; Zhou Z; Dong J; Fu Y; Li Y; Luan Z; Peng X
PLoS One; 2021; 16(4):e0250370. PubMed ID: 33861809
[TBL] [Abstract][Full Text] [Related]
11. A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk.
Klimov S; Miligy IM; Gertych A; Jiang Y; Toss MS; Rida P; Ellis IO; Green A; Krishnamurti U; Rakha EA; Aneja R
Breast Cancer Res; 2019 Jul; 21(1):83. PubMed ID: 31358020
[TBL] [Abstract][Full Text] [Related]
12. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
13. The Value of Applying Machine Learning in Predicting the Time of Symptom Onset in Stroke Patients: Systematic Review and Meta-Analysis.
Feng J; Zhang Q; Wu F; Peng J; Li Z; Chen Z
J Med Internet Res; 2023 Oct; 25():e44895. PubMed ID: 37824198
[TBL] [Abstract][Full Text] [Related]
14. Prognostic models for newly-diagnosed chronic lymphocytic leukaemia in adults: a systematic review and meta-analysis.
Kreuzberger N; Damen JA; Trivella M; Estcourt LJ; Aldin A; Umlauff L; Vazquez-Montes MD; Wolff R; Moons KG; Monsef I; Foroutan F; Kreuzer KA; Skoetz N
Cochrane Database Syst Rev; 2020 Jul; 7(7):CD012022. PubMed ID: 32735048
[TBL] [Abstract][Full Text] [Related]
15. Machine learning in the prediction of immunotherapy response and prognosis of melanoma: a systematic review and meta-analysis.
Li J; Dan K; Ai J
Front Immunol; 2024; 15():1281940. PubMed ID: 38835779
[TBL] [Abstract][Full Text] [Related]
16. Gene expression profiling for guiding adjuvant chemotherapy decisions in women with early breast cancer: an evidence-based and economic analysis.
Medical Advisory Secretariat
Ont Health Technol Assess Ser; 2010; 10(23):1-57. PubMed ID: 23074401
[TBL] [Abstract][Full Text] [Related]
17. Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review.
Adeoye J; Tan JY; Choi SW; Thomson P
Int J Med Inform; 2021 Oct; 154():104557. PubMed ID: 34455119
[TBL] [Abstract][Full Text] [Related]
18. Predictive value of machine learning for the risk of acute kidney injury (AKI) in hospital intensive care units (ICU) patients: a systematic review and meta-analysis.
Du YH; Guan CJ; Li LY; Gan P
PeerJ; 2023; 11():e16405. PubMed ID: 38034868
[TBL] [Abstract][Full Text] [Related]
19. Can a machine-learning model improve the prediction of nodal stage after a positive sentinel lymph node biopsy in breast cancer?
Madekivi V; Boström P; Karlsson A; Aaltonen R; Salminen E
Acta Oncol; 2020 Jun; 59(6):689-695. PubMed ID: 32148141
[No Abstract] [Full Text] [Related]
20. The Application and Comparison of Machine Learning Models for the Prediction of Breast Cancer Prognosis: Retrospective Cohort Study.
Xiao J; Mo M; Wang Z; Zhou C; Shen J; Yuan J; He Y; Zheng Y
JMIR Med Inform; 2022 Feb; 10(2):e33440. PubMed ID: 35179504
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]