Literature DB >> 31826337

Machine Learning and the Cancer-Diagnosis Problem - No Gold Standard.

Adewole S Adamson1, H Gilbert Welch1.   

Abstract

Entities:  

Year:  2019        PMID： 31826337     DOI： 10.1056/NEJMp1907407

Source DB:  PubMed          Journal:  N Engl J Med        ISSN： 0028-4793            Impact factor:   91.245


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  18 in total

1.  Methods and implementation of a Hospital-Based Cancer Registry in a major city in a low-to middle-income country: the case of Cali, Colombia.

Authors:  Luis G Parra-Lara; Diana M Mendoza-Urbano; Ángela R Zambrano; Andrea Valencia-Orozco; Juan C Bravo-Ocaña; Luis E Bravo-Ocaña; Fernando Rosso
Journal:  Cancer Causes Control       Date:  2022-01-11       Impact factor: 2.506

2.  Variability in the Histopathological Diagnosis of Non-Melanocytic Lesions Excised to Exclude Melanoma.

Authors:  Ian Katz; Tony Azzi; Alister Lilleyman; Blake O'Brien; Brian Schapiro; Curtis Thompson; Tarl Prow
Journal:  Dermatol Pract Concept       Date:  2021-10-01

3.  Distinguishing Non-Small Cell Lung Cancer Subtypes in Fine Needle Aspiration Biopsies by Desorption Electrospray Ionization Mass Spectrometry Imaging.

Authors:  Alena V Bensussan; John Lin; Chunxiao Guo; Ruth Katz; Savitri Krishnamurthy; Erik Cressman; Livia S Eberlin
Journal:  Clin Chem       Date:  2020-11-01       Impact factor: 8.327

4.  Rethinking PICO in the Machine Learning Era: ML-PICO.

Authors:  Xinran Liu; James Anstey; Ron Li; Chethan Sarabu; Reiri Sono; Atul J Butte
Journal:  Appl Clin Inform       Date:  2021-05-19       Impact factor: 2.342

5.  Toward automated assessment of mole similarity on dermoscopic images.

Authors:  Yao Zhang; Kamil Ali; Jacob A George; Jason S Reichenberg; Matthew C Fox; Adewole S Adamson; James W Tunnell; Mia K Markey
Journal:  J Med Imaging (Bellingham)       Date:  2021-02-10

Review 6.  How to evaluate deep learning for cancer diagnostics - factors and recommendations.

Authors:  Roxana Daneshjou; Bryan He; David Ouyang; James Y Zou
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2021-01-26       Impact factor: 10.680

7.  Letter to the editor in response to "Risk prediction of delirium in hospitalized patients using machine learning: an implementation and prospective evaluation study".

Authors:  Justin F Rousseau; William M Tierney
Journal:  J Am Med Inform Assoc       Date:  2021-03-01       Impact factor: 4.497

8.  Identification of Diagnostic CpG Signatures in Patients with Gestational Diabetes Mellitus via Epigenome-Wide Association Study Integrated with Machine Learning.

Authors:  Yan Liu; Hui Geng; Bide Duan; Xiuzhi Yang; Airong Ma; Xiaoyan Ding
Journal:  Biomed Res Int       Date:  2021-05-19       Impact factor: 3.411

9.  Artificial intelligence in breast cancer screening: primary care provider preferences.

Authors:  Nathaniel Hendrix; Brett Hauber; Christoph I Lee; Aasthaa Bansal; David L Veenstra
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

10.  Artificial Intelligence Based on Blood Biomarkers Including CTCs Predicts Outcomes in Epithelial Ovarian Cancer: A Prospective Study.

Authors:  Jun Ma; Jiani Yang; Yue Jin; Shanshan Cheng; Shan Huang; Nan Zhang; Yu Wang
Journal:  Onco Targets Ther       Date:  2021-05-18       Impact factor: 4.147
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