167 related articles for article (PubMed ID: 38132063)
1. Predicting Nurse Turnover for Highly Imbalanced Data Using the Synthetic Minority Over-Sampling Technique and Machine Learning Algorithms.
Xu Y; Park Y; Park JD; Sun B
Healthcare (Basel); 2023 Dec; 11(24):. PubMed ID: 38132063
[TBL] [Abstract][Full Text] [Related]
2. Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms.
Hassanzadeh R; Farhadian M; Rafieemehr H
BMC Med Res Methodol; 2023 Apr; 23(1):101. PubMed ID: 37087425
[TBL] [Abstract][Full Text] [Related]
3. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification of Orphan Genes in Unbalanced Datasets Based on Ensemble Learning.
Gao Q; Jin X; Xia E; Wu X; Gu L; Yan H; Xia Y; Li S
Front Genet; 2020; 11():820. PubMed ID: 33133122
[TBL] [Abstract][Full Text] [Related]
6. Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.
Ferrario A; Demiray B; Yordanova K; Luo M; Martin M
J Med Internet Res; 2020 Sep; 22(9):e19133. PubMed ID: 32866108
[TBL] [Abstract][Full Text] [Related]
7. Machine-learning model predicting quality of life using multifaceted lifestyles in middle-aged South Korean adults: a cross-sectional study.
Kim J; Jeong K; Lee S; Baek Y
BMC Public Health; 2024 Jan; 24(1):159. PubMed ID: 38212741
[TBL] [Abstract][Full Text] [Related]
8. Efficient Prediction of Missed Clinical Appointment Using Machine Learning.
Qureshi Z; Maqbool A; Mirza A; Iqbal MZ; Afzal F; Kanubala DD; Rana T; Umair MY; Wakeel A; Shah SK
Comput Math Methods Med; 2021; 2021():2376391. PubMed ID: 34721656
[TBL] [Abstract][Full Text] [Related]
9. Development of a Nurse Turnover Prediction Model in Korea Using Machine Learning.
Kim SK; Kim EJ; Kim HK; Song SS; Park BN; Jo KW
Healthcare (Basel); 2023 May; 11(11):. PubMed ID: 37297723
[TBL] [Abstract][Full Text] [Related]
10. Synthetic minority over-sampling technique-enhanced machine learning models for predicting recurrence of postoperative chronic subdural hematoma.
Ni Z; Zhu Y; Qian Y; Li X; Xing Z; Zhou Y; Chen Y; Huang L; Yang J; Zhuge Q
Front Neurol; 2024; 15():1305543. PubMed ID: 38711558
[TBL] [Abstract][Full Text] [Related]
11. Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea.
Kim J; Mun S; Lee S; Jeong K; Baek Y
BMC Public Health; 2022 Apr; 22(1):664. PubMed ID: 35387629
[TBL] [Abstract][Full Text] [Related]
12. Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation.
He J; Li J; Jiang S; Cheng W; Jiang J; Xu Y; Yang J; Zhou X; Chai C; Wu C
Front Public Health; 2022; 10():967681. PubMed ID: 36091522
[TBL] [Abstract][Full Text] [Related]
13. Effective treatment of imbalanced datasets in health care using modified SMOTE coupled with stacked deep learning algorithms.
Sowjanya AM; Mrudula O
Appl Nanosci; 2023; 13(3):1829-1840. PubMed ID: 35132368
[TBL] [Abstract][Full Text] [Related]
14. MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting.
Sakai Y; Yang C; Kihira S; Tsankova N; Khan F; Hormigo A; Lai A; Cloughesy T; Nael K
Int J Mol Sci; 2020 Oct; 21(21):. PubMed ID: 33121211
[TBL] [Abstract][Full Text] [Related]
15. Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania.
Tarimo CS; Bhuyan SS; Zhao Y; Ren W; Mohammed A; Li Q; Gardner M; Mahande MJ; Wang Y; Wu J
BMC Pregnancy Childbirth; 2022 Apr; 22(1):275. PubMed ID: 35365129
[TBL] [Abstract][Full Text] [Related]
16. Feature group partitioning: an approach for depression severity prediction with class balancing using machine learning algorithms.
Shaha TR; Begum M; Uddin J; Torres VY; Iturriaga JA; Ashraf I; Samad MA
BMC Med Res Methodol; 2024 Jun; 24(1):123. PubMed ID: 38831346
[TBL] [Abstract][Full Text] [Related]
17. STB: synthetic minority oversampling technique for tree-boosting models for imbalanced datasets of intrusion detection systems.
Li LH; Ahmad R; Tanone R; Sharma AK
PeerJ Comput Sci; 2023; 9():e1580. PubMed ID: 38077567
[TBL] [Abstract][Full Text] [Related]
18. Combining Resampling Strategies and Ensemble Machine Learning Methods to Enhance Prediction of Neonates with a Low Apgar Score After Induction of Labor in Northern Tanzania.
Tarimo CS; Bhuyan SS; Li Q; Ren W; Mahande MJ; Wu J
Risk Manag Healthc Policy; 2021; 14():3711-3720. PubMed ID: 34522147
[TBL] [Abstract][Full Text] [Related]
19. A cluster-based SMOTE both-sampling (CSBBoost) ensemble algorithm for classifying imbalanced data.
Salehi AR; Khedmati M
Sci Rep; 2024 Mar; 14(1):5152. PubMed ID: 38431701
[TBL] [Abstract][Full Text] [Related]
20. A hybrid sampling algorithm combining synthetic minority over-sampling technique and edited nearest neighbor for missed abortion diagnosis.
Yang F; Wang K; Sun L; Zhai M; Song J; Wang H
BMC Med Inform Decis Mak; 2022 Dec; 22(1):344. PubMed ID: 36581862
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
