Literature DB >> 20523307

Machine learning in medicine: a primer for physicians.

Akbar K Waljee1, Peter D R Higgins.   

Abstract

Mesh：

Year:  2010        PMID： 20523307     DOI： 10.1038/ajg.2010.173

Source DB:  PubMed          Journal:  Am J Gastroenterol        ISSN： 0002-9270            Impact factor:   10.864


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  44 in total

1.  Machine learning in the integration of simple variables for identifying patients with myocardial ischemia.

Authors:  Luis Eduardo Juarez-Orozco; Remco J J Knol; Carlos A Sanchez-Catasus; Octavio Martinez-Manzanera; Friso M van der Zant; Juhani Knuuti
Journal:  J Nucl Cardiol       Date:  2018-05-22       Impact factor: 5.952

Review 2.  Cardiac imaging: working towards fully-automated machine analysis & interpretation.

Authors:  Piotr J Slomka; Damini Dey; Arkadiusz Sitek; Manish Motwani; Daniel S Berman; Guido Germano
Journal:  Expert Rev Med Devices       Date:  2017-03       Impact factor: 3.166

3.  Improvement of predictive models of risk of disease progression in chronic hepatitis C by incorporating longitudinal data.

Authors:  Monica A Konerman; Yiwei Zhang; Ji Zhu; Peter D R Higgins; Anna S F Lok; Akbar K Waljee
Journal:  Hepatology       Date:  2015-03-20       Impact factor: 17.425

4.  External Validation of a Thiopurine Monitoring Algorithm on the SONIC Clinical Trial Dataset.

Authors:  Akbar K Waljee; Kay Sauder; Yiwei Zhang; Ji Zhu; Peter D R Higgins
Journal:  Clin Gastroenterol Hepatol       Date:  2017-08-22       Impact factor: 11.382

5.  Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study.

Authors:  Damini Dey; Sara Gaur; Kristian A Ovrehus; Piotr J Slomka; Julian Betancur; Markus Goeller; Michaela M Hell; Heidi Gransar; Daniel S Berman; Stephan Achenbach; Hans Erik Botker; Jesper Moller Jensen; Jens Flensted Lassen; Bjarne Linde Norgaard
Journal:  Eur Radiol       Date:  2018-01-19       Impact factor: 5.315

Review 6.  Automated Quantitative Nuclear Cardiology Methods.

Authors:  Manish Motwani; Daniel S Berman; Guido Germano; Piotr Slomka
Journal:  Cardiol Clin       Date:  2015-10-20       Impact factor: 2.213

7.  An automated model using electronic medical record data identifies patients with cirrhosis at high risk for readmission.

Authors:  Amit G Singal; Robert S Rahimi; Christopher Clark; Ying Ma; Jennifer A Cuthbert; Don C Rockey; Ruben Amarasingham
Journal:  Clin Gastroenterol Hepatol       Date:  2013-04-13       Impact factor: 11.382

8.  Machine learning algorithms outperform conventional regression models in predicting development of hepatocellular carcinoma.

Authors:  Amit G Singal; Ashin Mukherjee; B Joseph Elmunzer; Peter D R Higgins; Anna S Lok; Ji Zhu; Jorge A Marrero; Akbar K Waljee
Journal:  Am J Gastroenterol       Date:  2013-10-29       Impact factor: 10.864

9.  Empirical assessment of bias in machine learning diagnostic test accuracy studies.

Authors:  Ryan J Crowley; Yuan Jin Tan; John P A Ioannidis
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

Review 10.  Cardiorespiratory Fitness and Cardiovascular Disease Prevention: an Update.

Authors:  Mouaz H Al-Mallah; Sherif Sakr; Ada Al-Qunaibet
Journal:  Curr Atheroscler Rep       Date:  2018-01-16       Impact factor: 5.113
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