126 related articles for article (PubMed ID: 34862525)
1. Foundations of Machine Learning-Based Clinical Prediction Modeling: Part IV-A Practical Approach to Binary Classification Problems.
Staartjes VE; Kernbach JM
Acta Neurochir Suppl; 2022; 134():33-41. PubMed ID: 34862525
[TBL] [Abstract][Full Text] [Related]
2. Foundations of Machine Learning-Based Clinical Prediction Modeling: Part V-A Practical Approach to Regression Problems.
Staartjes VE; Kernbach JM
Acta Neurochir Suppl; 2022; 134():43-50. PubMed ID: 34862526
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Foundations of Machine Learning-Based Clinical Prediction Modeling: Part III-Model Evaluation and Other Points of Significance.
Staartjes VE; Kernbach JM
Acta Neurochir Suppl; 2022; 134():23-31. PubMed ID: 34862524
[TBL] [Abstract][Full Text] [Related]
5. Foundations of Machine Learning-Based Clinical Prediction Modeling: Part II-Generalization and Overfitting.
Kernbach JM; Staartjes VE
Acta Neurochir Suppl; 2022; 134():15-21. PubMed ID: 34862523
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Foundations of Feature Selection in Clinical Prediction Modeling.
Staartjes VE; Kernbach JM; Stumpo V; van Niftrik CHB; Serra C; Regli L
Acta Neurochir Suppl; 2022; 134():51-57. PubMed ID: 34862527
[TBL] [Abstract][Full Text] [Related]
8. Foundations of Machine Learning-Based Clinical Prediction Modeling: Part I-Introduction and General Principles.
Kernbach JM; Staartjes VE
Acta Neurochir Suppl; 2022; 134():7-13. PubMed ID: 34862522
[TBL] [Abstract][Full Text] [Related]
9. Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region.
Mehrabani-Zeinabad K; Feizi A; Sadeghi M; Roohafza H; Talaei M; Sarrafzadegan N
BMC Med Inform Decis Mak; 2023 Apr; 23(1):72. PubMed ID: 37076833
[TBL] [Abstract][Full Text] [Related]
10. A random forest method with feature selection for developing medical prediction models with clustered and longitudinal data.
Speiser JL
J Biomed Inform; 2021 May; 117():103763. PubMed ID: 33781921
[TBL] [Abstract][Full Text] [Related]
11. How Does the Skeletal Oncology Research Group Algorithm's Prediction of 5-year Survival in Patients with Chondrosarcoma Perform on International Validation?
Bongers MER; Karhade AV; Setola E; Gambarotti M; Groot OQ; Erdoğan KE; Picci P; Donati DM; Schwab JH; Palmerini E
Clin Orthop Relat Res; 2020 Oct; 478(10):2300-2308. PubMed ID: 32433107
[TBL] [Abstract][Full Text] [Related]
12. Machine learning is an effective method to predict the 90-day prognosis of patients with transient ischemic attack and minor stroke.
Chen SD; You J; Yang XM; Gu HQ; Huang XY; Liu H; Feng JF; Jiang Y; Wang YJ
BMC Med Res Methodol; 2022 Jul; 22(1):195. PubMed ID: 35842606
[TBL] [Abstract][Full Text] [Related]
13. Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning.
Sanghani P; Ang BT; King NKK; Ren H
Surg Oncol; 2018 Dec; 27(4):709-714. PubMed ID: 30449497
[TBL] [Abstract][Full Text] [Related]
14. Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone.
Kim H; Lee S; Lee S; Hong S; Kang H; Kim N
JMIR Mhealth Uhealth; 2019 Oct; 7(10):e14149. PubMed ID: 31621642
[TBL] [Abstract][Full Text] [Related]
15. Survival prediction models: an introduction to discrete-time modeling.
Suresh K; Severn C; Ghosh D
BMC Med Res Methodol; 2022 Jul; 22(1):207. PubMed ID: 35883032
[TBL] [Abstract][Full Text] [Related]
16. A multicenter random forest model for effective prognosis prediction in collaborative clinical research network.
Li J; Tian Y; Zhu Y; Zhou T; Li J; Ding K; Li J
Artif Intell Med; 2020 Mar; 103():101814. PubMed ID: 32143809
[TBL] [Abstract][Full Text] [Related]
17. Prediction of pulmonary pressure after Glenn shunts by computed tomography-based machine learning models.
Huang L; Li J; Huang M; Zhuang J; Yuan H; Jia Q; Zeng D; Que L; Xi Y; Lin J; Dong Y
Eur Radiol; 2020 Mar; 30(3):1369-1377. PubMed ID: 31705256
[TBL] [Abstract][Full Text] [Related]
18. Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction.
Shi P; Ray S; Zhu Q; Kon MA
BMC Bioinformatics; 2011 Sep; 12():375. PubMed ID: 21939564
[TBL] [Abstract][Full Text] [Related]
19. Machine learning-based prediction of postpartum hemorrhage after vaginal delivery: combining bleeding high risk factors and uterine contraction curve.
Liu J; Wang C; Yan R; Lu Y; Bai J; Wang H; Li R
Arch Gynecol Obstet; 2022 Oct; 306(4):1015-1025. PubMed ID: 35171347
[TBL] [Abstract][Full Text] [Related]
20. Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospective study.
Zheng D; Hao X; Khan M; Wang L; Li F; Xiang N; Kang F; Hamalainen T; Cong F; Song K; Qiao C
Front Cardiovasc Med; 2022; 9():959649. PubMed ID: 36312231
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]