Detalhe da pesquisa
1.
Validation of a predictive model for obstructive sleep apnea in people with Down syndrome.
Am J Med Genet A
; 191(2): 518-525, 2023 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-36426646
2.
Machine learning in primary biliary cholangitis: A novel approach for risk stratification.
Liver Int
; 42(3): 615-627, 2022 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-34951722
3.
Porting Rulex Software to the Raspberry Pi for Machine Learning Applications on the Edge.
Sensors (Basel)
; 21(19)2021 Sep 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-34640846
4.
Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods.
BMC Bioinformatics
; 20(Suppl 9): 390, 2019 Nov 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-31757200
5.
A predictive model for obstructive sleep apnea and Down syndrome.
Am J Med Genet A
; 173(4): 889-896, 2017 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-28124477
6.
Identifying Environmental and Social Factors Predisposing to Pathological Gambling Combining Standard Logistic Regression and Logic Learning Machine.
J Gambl Stud
; 33(4): 1121-1137, 2017 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-28255941
7.
Differential diagnosis of pleural mesothelioma using Logic Learning Machine.
BMC Bioinformatics
; 16 Suppl 9: S3, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26051106
8.
Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients.
BMC Bioinformatics
; 15 Suppl 5: S4, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-25078098
9.
Logic Learning Machine creates explicit and stable rules stratifying neuroblastoma patients.
BMC Bioinformatics
; 14 Suppl 7: S12, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23815266
10.
Validation of a new multiple osteochondromas classification through Switching Neural Networks.
Am J Med Genet A
; 161A(3): 556-60, 2013 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-23401177
11.
Uncovering Predictors of Lipid Goal Attainment in Type 2 Diabetes Outpatients Using Logic Learning Machine: Insights from the AMD Annals and AMD Artificial Intelligence Study Group.
J Clin Med
; 12(12)2023 Jun 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-37373787
12.
Achieving Good Metabolic Control Without Weight Gain with the Systematic Use of GLP-1-RAs and SGLT-2 Inhibitors in Type 2 Diabetes: A Machine-learning Projection Using Data from Clinical Practice.
Clin Ther
; 45(8): 754-761, 2023 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-37451913
13.
The clinical meaning of the area under a receiver operating characteristic curve for the evaluation of the performance of disease markers.
Epidemiol Health
; 44: e2022088, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36265519
14.
LLM-PBC: Logic Learning Machine-Based Explainable Rules Accurately Stratify the Genetic Risk of Primary Biliary Cholangitis.
J Pers Med
; 12(10)2022 Sep 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-36294727
15.
The application of atmospheric pressure matrix-assisted laser desorption/ionization to the analysis of long-term cryopreserved serum peptidome.
Anal Biochem
; 417(2): 174-81, 2011 Oct 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-21756868
16.
Hypoxia Predicts Poor Prognosis in Neuroblastoma Patients and Associates with Biological Mechanisms Involved in Telomerase Activation and Tumor Microenvironment Reprogramming.
Cancers (Basel)
; 12(9)2020 Aug 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-32825087
17.
Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments.
BMC Bioinformatics
; 9: 410, 2008 Oct 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-18834513
18.
Logic Learning Machine and standard supervised methods for Hodgkin's lymphoma prognosis using gene expression data and clinical variables.
Health Informatics J
; 24(1): 54-65, 2018 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-27354395
19.
Alternative splicing of the human estrogen receptor alpha primary transcript: mechanisms of exon skipping.
Int J Mol Med
; 12(3): 355-63, 2003 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-12883652
20.
Deterministic design for neural network learning: an approach based on discrepancy.
IEEE Trans Neural Netw
; 15(3): 533-44, 2004 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-15384544