Literature DB >> 27682033

Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.

Ziad Obermeyer1, Ezekiel J Emanuel1.   

Abstract

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Mesh:

Year:  2016        PMID: 27682033      PMCID: PMC5070532          DOI: 10.1056/NEJMp1606181

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


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  3 in total

1.  Prediction Policy Problems.

Authors:  Jon Kleinberg; Jens Ludwig; Sendhil Mullainathan; Ziad Obermeyer
Journal:  Am Econ Rev       Date:  2015-05

2.  Single reading with computer-aided detection for screening mammography.

Authors:  Fiona J Gilbert; Susan M Astley; Maureen G C Gillan; Olorunsola F Agbaje; Matthew G Wallis; Jonathan James; Caroline R M Boggis; Stephen W Duffy
Journal:  N Engl J Med       Date:  2008-10-01       Impact factor: 91.245

3.  Restoring cortical control of functional movement in a human with quadriplegia.

Authors:  Chad E Bouton; Ammar Shaikhouni; Nicholas V Annetta; Marcia A Bockbrader; David A Friedenberg; Dylan M Nielson; Gaurav Sharma; Per B Sederberg; Bradley C Glenn; W Jerry Mysiw; Austin G Morgan; Milind Deogaonkar; Ali R Rezai
Journal:  Nature       Date:  2016-04-13       Impact factor: 49.962

  3 in total
  454 in total

1.  Applying machine learning to predict real-world individual treatment effects: insights from a virtual patient cohort.

Authors:  Gang Fang; Izabela E Annis; Jennifer Elston-Lafata; Samuel Cykert
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

2.  Can Contrast-Enhanced Ultrasound Increase or Predict the Success Rate of Testicular Sperm Aspiration in Patients With Azoospermia?

Authors:  Heng Xue; Shou-Yang Wang; Li-Gang Cui; Kai Hong
Journal:  AJR Am J Roentgenol       Date:  2019-02-26       Impact factor: 3.959

3.  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

4.  Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records.

Authors:  Gregory E Simon; Eric Johnson; Jean M Lawrence; Rebecca C Rossom; Brian Ahmedani; Frances L Lynch; Arne Beck; Beth Waitzfelder; Rebecca Ziebell; Robert B Penfold; Susan M Shortreed
Journal:  Am J Psychiatry       Date:  2018-05-24       Impact factor: 18.112

5.  How to Accurately and Privately Identify Anomalies.

Authors:  Hafiz Asif; Periklis A Papakonstantinou; Jaideep Vaidya
Journal:  Conf Comput Commun Secur       Date:  2019-11

6.  The number needed to benefit: estimating the value of predictive analytics in healthcare.

Authors:  Vincent X Liu; David W Bates; Jenna Wiens; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

Review 7.  Artificial intelligence: Essentials for nursing.

Authors:  Kathleen McGrow
Journal:  Nursing       Date:  2019-09

8.  Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study.

Authors:  Perry J Pickhardt; Peter M Graffy; Ryan Zea; Scott J Lee; Jiamin Liu; Veit Sandfort; Ronald M Summers
Journal:  Lancet Digit Health       Date:  2020-03-02

9.  The future is coming: promising perspectives regarding the use of machine learning in renal transplantation.

Authors:  Pedro Guilherme Coelho Hannun; Luis Gustavo Modelli de Andrade
Journal:  J Bras Nefrol       Date:  2018-10-18

10.  Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning.

Authors:  Nikhil Paliwal; Prakhar Jaiswal; Vincent M Tutino; Hussain Shallwani; Jason M Davies; Adnan H Siddiqui; Rahul Rai; Hui Meng
Journal:  Neurosurg Focus       Date:  2018-11-01       Impact factor: 4.047

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