Literature DB >> 26809201

Two Ways of Knowing: Big Data and Evidence-Based Medicine.

Ida Sim.   

Abstract

Mesh：

Year:  2016        PMID： 26809201     DOI： 10.7326/M15-2970

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN： 0003-4819            Impact factor:   25.391


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  13 in total

Review 1.  Big Data Science: Opportunities and Challenges to Address Minority Health and Health Disparities in the 21st Century.

Authors:  Xinzhi Zhang; Eliseo J Pérez-Stable; Philip E Bourne; Emmanuel Peprah; O Kenrik Duru; Nancy Breen; David Berrigan; Fred Wood; James S Jackson; David W S Wong; Joshua Denny
Journal:  Ethn Dis       Date:  2017-04-20       Impact factor: 1.847

Review 2.  Big Data in Head and Neck Cancer.

Authors:  Carlo Resteghini; Annalisa Trama; Elio Borgonovi; Hykel Hosni; Giovanni Corrao; Ester Orlandi; Giuseppina Calareso; Loris De Cecco; Cesare Piazza; Luca Mainardi; Lisa Licitra
Journal:  Curr Treat Options Oncol       Date:  2018-10-25

3.  Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists.

Authors:  Nicoletta Musacchio; Annalisa Giancaterini; Giacomo Guaita; Alessandro Ozzello; Maria A Pellegrini; Paola Ponzani; Giuseppina T Russo; Rita Zilich; Alberto de Micheli
Journal:  J Med Internet Res       Date:  2020-06-22       Impact factor: 5.428

4.  Improving palliative care with deep learning.

Authors:  Anand Avati; Kenneth Jung; Stephanie Harman; Lance Downing; Andrew Ng; Nigam H Shah
Journal:  BMC Med Inform Decis Mak       Date:  2018-12-12       Impact factor: 2.796

Review 5.  Digital Medicine in Thyroidology: A New Era of Managing Thyroid Disease.

Authors:  Jae Hoon Moon; Steven R Steinhubl
Journal:  Endocrinol Metab (Seoul)       Date:  2019-06

6.  Integrating Machine Learning With Microsimulation to Classify Hypothetical, Novel Patients for Predicting Pregabalin Treatment Response Based on Observational and Randomized Data in Patients With Painful Diabetic Peripheral Neuropathy.

Authors:  Joe Alexander; Roger A Edwards; Luigi Manca; Roberto Grugni; Gianluca Bonfanti; Birol Emir; Ed Whalen; Steve Watt; Marina Brodsky; Bruce Parsons
Journal:  Pragmat Obs Res       Date:  2019-10-31

7.  Integrating data from randomized controlled trials and observational studies to predict the response to pregabalin in patients with painful diabetic peripheral neuropathy.

Authors:  Joe Alexander; Roger A Edwards; Alberto Savoldelli; Luigi Manca; Roberto Grugni; Birol Emir; Ed Whalen; Stephen Watt; Marina Brodsky; Bruce Parsons
Journal:  BMC Med Res Methodol       Date:  2017-07-20       Impact factor: 4.615

8.  Pharmacological therapy and blood pressure control in primary health care sites in China: data from 254,848 hypertensive patients.

Authors:  Lei Hou; Xiaorong Chen; Bo Chen; Longjian Liu; Xiaohui Sun; Yuewei Zou; Hongjian Liu; Hui Guo; Jian Zhang; Jixiang Ma
Journal:  Clin Epidemiol       Date:  2018-10-11       Impact factor: 4.790

Review 9.  Big data from electronic health records for early and late translational cardiovascular research: challenges and potential.

Authors:  Harry Hemingway; Folkert W Asselbergs; John Danesh; Richard Dobson; Nikolaos Maniadakis; Aldo Maggioni; Ghislaine J M van Thiel; Maureen Cronin; Gunnar Brobert; Panos Vardas; Stefan D Anker; Diederick E Grobbee; Spiros Denaxas
Journal:  Eur Heart J       Date:  2018-04-21       Impact factor: 29.983

10.  Measuring outcomes in self-harm trials: what is important and what is achievable?

Authors:  Allan House
Journal:  BJPsych Open       Date:  2020-02-12
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