Literature DB >> 29813156

Big Data and Predictive Analytics: Recalibrating Expectations.

Nilay D Shah1, Ewout W Steyerberg2, David M Kent3.   

Abstract

Mesh：

Year:  2018        PMID： 29813156     DOI： 10.1001/jama.2018.5602

Source DB:  PubMed          Journal:  JAMA        ISSN： 0098-7484            Impact factor:   56.272


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  48 in total

1.  Machine Learning Predictive Models Can Improve Efficacy of Clinical Trials for Alzheimer's Disease.

Authors:  Ali Ezzati; Richard B Lipton
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

2.  CORR Insights®: Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma?

Authors:  John H Healey
Journal:  Clin Orthop Relat Res       Date:  2018-10       Impact factor: 4.176

3.  Agreement and Predictors of Discordance of 6 Visual Field Progression Algorithms.

Authors:  Osamah J Saeedi; Tobias Elze; Loris D'Acunto; Ramya Swamy; Vikram Hegde; Surabhi Gupta; Amin Venjara; Joby Tsai; Jonathan S Myers; Sarah R Wellik; Carlos Gustavo De Moraes; Louis R Pasquale; Lucy Q Shen; Michael V Boland
Journal:  Ophthalmology       Date:  2019-02-04       Impact factor: 12.079

4.  Electronic Health Record Mortality Prediction Model for Targeted Palliative Care Among Hospitalized Medical Patients: a Pilot Quasi-experimental Study.

Authors:  Katherine R Courtright; Corey Chivers; Michael Becker; Susan H Regli; Linnea C Pepper; Michael E Draugelis; Nina R O'Connor
Journal:  J Gen Intern Med       Date:  2019-07-16       Impact factor: 5.128

5.  Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review.

Authors:  Dennis Shung; Michael Simonov; Mark Gentry; Benjamin Au; Loren Laine
Journal:  Dig Dis Sci       Date:  2019-05-04       Impact factor: 3.199

6.  Predicting Amyloid-β Levels in Amnestic Mild Cognitive Impairment Using Machine Learning Techniques.

Authors:  Ali Ezzati; Danielle J Harvey; Christian Habeck; Ashkan Golzar; Irfan A Qureshi; Andrea R Zammit; Jinshil Hyun; Monica Truelove-Hill; Charles B Hall; Christos Davatzikos; Richard B Lipton
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

Review 7.  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

8.  Building a Clinically Relevant Risk Model: Predicting Risk of a Potentially Preventable Acute Care Visit for Patients Starting Antineoplastic Treatment.

Authors:  Bobby Daly; Dmitriy Gorenshteyn; Kevin J Nicholas; Alice Zervoudakis; Stefania Sokolowski; Claire E Perry; Lior Gazit; Abigail Baldwin Medsker; Rori Salvaggio; Lynn Adams; Han Xiao; Yeneat O Chiu; Lauren L Katzen; Margarita Rozenshteyn; Diane L Reidy-Lagunes; Brett A Simon; Wendy Perchick; Isaac Wagner
Journal:  JCO Clin Cancer Inform       Date:  2020-03

9.  The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement: Explanation and Elaboration.

Authors:  David M Kent; David van Klaveren; Jessica K Paulus; Ralph D'Agostino; Steve Goodman; Rodney Hayward; John P A Ioannidis; Bray Patrick-Lake; Sally Morton; Michael Pencina; Gowri Raman; Joseph S Ross; Harry P Selker; Ravi Varadhan; Andrew Vickers; John B Wong; Ewout W Steyerberg
Journal:  Ann Intern Med       Date:  2019-11-12       Impact factor: 25.391

10.  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
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