139 related articles for article (PubMed ID: 36688223)
1. Classification Prediction of Breast Cancer Based on Machine Learning.
Chen H; Wang N; Du X; Mei K; Zhou Y; Cai G
Comput Intell Neurosci; 2023; 2023():6530719. PubMed ID: 36688223
[TBL] [Abstract][Full Text] [Related]
2. Application of a developed triple-classification machine learning model for carcinogenic prediction of hazardous organic chemicals to the US, EU, and WHO based on Chinese database.
Hao N; Sun P; Zhao W; Li X
Ecotoxicol Environ Saf; 2023 Apr; 255():114806. PubMed ID: 36948010
[TBL] [Abstract][Full Text] [Related]
3. Prediction of drinking water quality with machine learning models: A public health nursing approach.
Özsezer G; Mermer G
Public Health Nurs; 2024; 41(1):175-191. PubMed ID: 37997522
[TBL] [Abstract][Full Text] [Related]
4. Hubness weighted SVM ensemble for prediction of breast cancer subtypes.
Raja Sree S; Kunthavai A
Technol Health Care; 2022; 30(3):565-578. PubMed ID: 34397436
[TBL] [Abstract][Full Text] [Related]
5. A Machine Learning-Based Model to Predict Acute Traumatic Coagulopathy in Trauma Patients Upon Emergency Hospitalization.
Li K; Wu H; Pan F; Chen L; Feng C; Liu Y; Hui H; Cai X; Che H; Ma Y; Li T
Clin Appl Thromb Hemost; 2020; 26():1076029619897827. PubMed ID: 31908189
[TBL] [Abstract][Full Text] [Related]
6. GSEA-SDBE: A gene selection method for breast cancer classification based on GSEA and analyzing differences in performance metrics.
Ai H
PLoS One; 2022; 17(4):e0263171. PubMed ID: 35472078
[TBL] [Abstract][Full Text] [Related]
7. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y
BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327
[TBL] [Abstract][Full Text] [Related]
8. Predictive modeling for breast cancer classification in the context of Bangladeshi patients by use of machine learning approach with explainable AI.
Islam T; Sheakh MA; Tahosin MS; Hena MH; Akash S; Bin Jardan YA; FentahunWondmie G; Nafidi HA; Bourhia M
Sci Rep; 2024 Apr; 14(1):8487. PubMed ID: 38605059
[TBL] [Abstract][Full Text] [Related]
9. Building a predictive model to assist in the diagnosis of cervical cancer.
Drokow EK; Baffour AA; Effah CY; Agboyibor C; Akpabla GS; Sun K
Future Oncol; 2022 Jan; 18(1):67-84. PubMed ID: 34729999
[No Abstract] [Full Text] [Related]
10. Application of an Interpretable Machine Learning Model to Predict Lymph Node Metastasis in Patients with Laryngeal Carcinoma.
Feng M; Zhang J; Zhou X; Mo H; Jia L; Zhang C; Hu Y; Yuan W
J Oncol; 2022; 2022():6356399. PubMed ID: 36411795
[TBL] [Abstract][Full Text] [Related]
11. Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.
Jalali-Najafabadi F; Stadler M; Dand N; Jadon D; Soomro M; Ho P; Marzo-Ortega H; Helliwell P; Korendowych E; Simpson MA; Packham J; Smith CH; Barker JN; McHugh N; Warren RB; Barton A; Bowes J; ;
Sci Rep; 2021 Dec; 11(1):23335. PubMed ID: 34857774
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms.
Shiri I; Mostafaei S; Haddadi Avval A; Salimi Y; Sanaat A; Akhavanallaf A; Arabi H; Rahmim A; Zaidi H
Sci Rep; 2022 Sep; 12(1):14817. PubMed ID: 36050434
[TBL] [Abstract][Full Text] [Related]
14. Machine learning algorithms to predict early pregnancy loss after in vitro fertilization-embryo transfer with fetal heart rate as a strong predictor.
Liu L; Jiao Y; Li X; Ouyang Y; Shi D
Comput Methods Programs Biomed; 2020 Nov; 196():105624. PubMed ID: 32623348
[TBL] [Abstract][Full Text] [Related]
15. Machine learning-based dynamic prediction of lateral lymph node metastasis in patients with papillary thyroid cancer.
Lai SW; Fan YL; Zhu YH; Zhang F; Guo Z; Wang B; Wan Z; Liu PL; Yu N; Qin HD
Front Endocrinol (Lausanne); 2022; 13():1019037. PubMed ID: 36299455
[TBL] [Abstract][Full Text] [Related]
16. Machine Learning Approach for Intraocular Disease Prediction Based on Aqueous Humor Immune Mediator Profiles.
Nezu N; Usui Y; Saito A; Shimizu H; Asakage M; Yamakawa N; Tsubota K; Wakabayashi Y; Narimatsu A; Umazume K; Maruyama K; Sugimoto M; Kuroda M; Goto H
Ophthalmology; 2021 Aug; 128(8):1197-1208. PubMed ID: 33484732
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study.
Woodman RJ; Bryant K; Sorich MJ; Pilotto A; Mangoni AA
J Med Internet Res; 2021 Jun; 23(6):e26139. PubMed ID: 34152274
[TBL] [Abstract][Full Text] [Related]
19. Prediction of lung metastases in thyroid cancer using machine learning based on SEER database.
Liu W; Wang S; Ye Z; Xu P; Xia X; Guo M
Cancer Med; 2022 Jun; 11(12):2503-2515. PubMed ID: 35191613
[TBL] [Abstract][Full Text] [Related]
20. K-nearest-neighbor algorithm to predict the survival time and classification of various stages of oral cancer: a machine learning approach.
Siddalingappa R; Kanagaraj S
F1000Res; 2022; 11():70. PubMed ID: 38046542
[No Abstract] [Full Text] [Related]
[Next] [New Search]
