Literature DB >> 31007185

Reporting of artificial intelligence prediction models.

Gary S Collins1, Karel G M Moons2.   

Abstract

Mesh：

Year:  2019        PMID： 31007185     DOI： 10.1016/S0140-6736(19)30037-6

Source DB:  PubMed          Journal:  Lancet        ISSN： 0140-6736            Impact factor:   79.321


× No keyword cloud information.
  138 in total

Review 1.  Deep learning in histopathology: the path to the clinic.

Authors:  Jeroen van der Laak; Geert Litjens; Francesco Ciompi
Journal:  Nat Med       Date:  2021-05-14       Impact factor: 53.440

Review 2.  Designing deep learning studies in cancer diagnostics.

Authors:  Andreas Kleppe; Ole-Johan Skrede; Sepp De Raedt; Knut Liestøl; David J Kerr; Håvard E Danielsen
Journal:  Nat Rev Cancer       Date:  2021-01-29       Impact factor: 60.716

3.  Prognostic models for amyotrophic lateral sclerosis: a systematic review.

Authors:  Lu Xu; Bingjie He; Yunjing Zhang; Lu Chen; Dongsheng Fan; Siyan Zhan; Shengfeng Wang
Journal:  J Neurol       Date:  2021-03-10       Impact factor: 4.849

4.  Guidance for Interventional Trials Involving Artificial Intelligence.

Authors:  Hugh Harvey; Luke Oakden-Rayner
Journal:  Radiol Artif Intell       Date:  2020-11-25

5.  Recommendations for Reporting Machine Learning Analyses in Clinical Research.

Authors:  Laura M Stevens; Bobak J Mortazavi; Rahul C Deo; Lesley Curtis; David P Kao
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-10-14

Review 6.  How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts.

Authors:  Burak Kocak; Ece Ates Kus; Ozgur Kilickesmez
Journal:  Eur Radiol       Date:  2020-10-01       Impact factor: 5.315

Review 7.  Development and validation of early warning score system: A systematic literature review.

Authors:  Li-Heng Fu; Jessica Schwartz; Amanda Moy; Chris Knaplund; Min-Jeoung Kang; Kumiko O Schnock; Jose P Garcia; Haomiao Jia; Patricia C Dykes; Kenrick Cato; David Albers; Sarah Collins Rossetti
Journal:  J Biomed Inform       Date:  2020-04-08       Impact factor: 6.317

8.  Machine Learning for Suicide Research-Can It Improve Risk Factor Identification?

Authors:  Seena Fazel; Lauren O'Reilly
Journal:  JAMA Psychiatry       Date:  2020-01-01       Impact factor: 21.596

9.  Challenges to the Reproducibility of Machine Learning Models in Health Care.

Authors:  Andrew L Beam; Arjun K Manrai; Marzyeh Ghassemi
Journal:  JAMA       Date:  2020-01-28       Impact factor: 56.272

10.  Machine-learning model to predict the cause of death using a stacking ensemble method for observational data.

Authors:  Chungsoo Kim; Seng Chan You; Jenna M Reps; Jae Youn Cheong; Rae Woong Park
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.