Detalhe da pesquisa
1.
Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study.
BMC Med Inform Decis Mak
; 23(1): 168, 2023 08 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-37641038
2.
Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review.
BMC Med Res Methodol
; 22(1): 12, 2022 Jan 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-35026997
3.
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review.
BMC Med Res Methodol
; 22(1): 101, 2022 04 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35395724
4.
SPIN-PM: a consensus framework to evaluate the presence of spin in studies on prediction models.
J Clin Epidemiol
; 170: 111364, 2024 Apr 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-38631529
5.
Risk of bias assessments in individual participant data meta-analyses of test accuracy and prediction models: a review shows improvements are needed.
J Clin Epidemiol
; 165: 111206, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-37925059
6.
Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models.
J Clin Epidemiol
; 154: 8-22, 2023 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-36436815
7.
Systematic review finds "spin" practices and poor reporting standards in studies on machine learning-based prediction models.
J Clin Epidemiol
; 158: 99-110, 2023 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-37024020
8.
Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review.
J Clin Epidemiol
; 157: 120-133, 2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-36935090
9.
Risk of bias of prognostic models developed using machine learning: a systematic review in oncology.
Diagn Progn Res
; 6(1): 13, 2022 Jul 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-35794668
10.
Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review.
BMJ
; 375: n2281, 2021 10 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-34670780
11.
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence.
BMJ Open
; 11(7): e048008, 2021 07 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-34244270
12.
Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques.
BMJ Open
; 10(11): e038832, 2020 Nov 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-33177137
13.
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
BMJ
; 369: m1328, 2020 04 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-32265220