259 related articles for article (PubMed ID: 25528697)
1. Pre-operative prediction of surgical morbidity in children: comparison of five statistical models.
Cooper JN; Wei L; Fernandez SA; Minneci PC; Deans KJ
Comput Biol Med; 2015 Feb; 57():54-65. PubMed ID: 25528697
[TBL] [Abstract][Full Text] [Related]
2. Seminal quality prediction using data mining methods.
Sahoo AJ; Kumar Y
Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
[TBL] [Abstract][Full Text] [Related]
3. Analysis of Machine Learning Techniques for Heart Failure Readmissions.
Mortazavi BJ; Downing NS; Bucholz EM; Dharmarajan K; Manhapra A; Li SX; Negahban SN; Krumholz HM
Circ Cardiovasc Qual Outcomes; 2016 Nov; 9(6):629-640. PubMed ID: 28263938
[TBL] [Abstract][Full Text] [Related]
4. Patient classification and outcome prediction in IgA nephropathy.
Diciolla M; Binetti G; Di Noia T; Pesce F; Schena FP; Vågane AM; Bjørneklett R; Suzuki H; Tomino Y; Naso D
Comput Biol Med; 2015 Nov; 66():278-86. PubMed ID: 26453758
[TBL] [Abstract][Full Text] [Related]
5. Contemporary QSAR classifiers compared.
Bruce CL; Melville JL; Pickett SD; Hirst JD
J Chem Inf Model; 2007; 47(1):219-27. PubMed ID: 17238267
[TBL] [Abstract][Full Text] [Related]
6. Predicting the graft survival for heart-lung transplantation patients: an integrated data mining methodology.
Oztekin A; Delen D; Kong ZJ
Int J Med Inform; 2009 Dec; 78(12):e84-96. PubMed ID: 19497782
[TBL] [Abstract][Full Text] [Related]
7. Looking beyond historical patient outcomes to improve clinical models.
Chia CC; Rubinfeld I; Scirica BM; McMillan S; Gurm HS; Syed Z
Sci Transl Med; 2012 Apr; 4(131):131ra49. PubMed ID: 22539773
[TBL] [Abstract][Full Text] [Related]
8. Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.
Churpek MM; Yuen TC; Winslow C; Meltzer DO; Kattan MW; Edelson DP
Crit Care Med; 2016 Feb; 44(2):368-74. PubMed ID: 26771782
[TBL] [Abstract][Full Text] [Related]
9. Using classification tree and logistic regression methods to diagnose myocardial infarction.
Tsien CL; Fraser HS; Long WJ; Kennedy RL
Stud Health Technol Inform; 1998; 52 Pt 1():493-7. PubMed ID: 10384505
[TBL] [Abstract][Full Text] [Related]
10. A novel method for predicting kidney stone type using ensemble learning.
Kazemi Y; Mirroshandel SA
Artif Intell Med; 2018 Jan; 84():117-126. PubMed ID: 29241659
[TBL] [Abstract][Full Text] [Related]
11. Gradient boosted trees with individual explanations: An alternative to logistic regression for viability prediction in the first trimester of pregnancy.
Vaulet T; Al-Memar M; Fourie H; Bobdiwala S; Saso S; Pipi M; Stalder C; Bennett P; Timmerman D; Bourne T; De Moor B
Comput Methods Programs Biomed; 2022 Jan; 213():106520. PubMed ID: 34808532
[TBL] [Abstract][Full Text] [Related]
12. Prediction of different types of liver diseases using rule based classification model.
Kumar Y; Sahoo G
Technol Health Care; 2013; 21(5):417-32. PubMed ID: 23963359
[TBL] [Abstract][Full Text] [Related]
13. Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review.
Buchlak QD; Esmaili N; Leveque JC; Farrokhi F; Bennett C; Piccardi M; Sethi RK
Neurosurg Rev; 2020 Oct; 43(5):1235-1253. PubMed ID: 31422572
[TBL] [Abstract][Full Text] [Related]
14. Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests.
Maroco J; Silva D; Rodrigues A; Guerreiro M; Santana I; de Mendonça A
BMC Res Notes; 2011 Aug; 4():299. PubMed ID: 21849043
[TBL] [Abstract][Full Text] [Related]
15. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
16. Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes.
Austin PC; Tu JV; Ho JE; Levy D; Lee DS
J Clin Epidemiol; 2013 Apr; 66(4):398-407. PubMed ID: 23384592
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis-Treated Patients Using Stacked Generalization: Model Development and Validation Study.
Kong G; Wu J; Chu H; Yang C; Lin Y; Lin K; Shi Y; Wang H; Zhang L
JMIR Med Inform; 2021 May; 9(5):e17886. PubMed ID: 34009135
[TBL] [Abstract][Full Text] [Related]
19. A hybrid data mining model for diagnosis of patients with clinical suspicion of dementia.
Moreira LB; Namen AA
Comput Methods Programs Biomed; 2018 Oct; 165():139-149. PubMed ID: 30337069
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
