Literature DB >> 31755902

Machine Learning, Predictive Analytics, and Clinical Practice: Can the Past Inform the Present?

Eric D Peterson1,2.   

Abstract

Mesh:

Year:  2019        PMID: 31755902     DOI: 10.1001/jama.2019.17831

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


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  20 in total

1.  Assessment of Shared Decision-making for Stroke Prevention in Patients With Atrial Fibrillation: A Randomized Clinical Trial.

Authors:  Marleen Kunneman; Megan E Branda; Ian G Hargraves; Angela L Sivly; Alexander T Lee; Haeshik Gorr; Bruce Burnett; Takeki Suzuki; Elizabeth A Jackson; Erik Hess; Mark Linzer; Sarah R Brand-McCarthy; Juan P Brito; Peter A Noseworthy; Victor M Montori
Journal:  JAMA Intern Med       Date:  2020-07-20       Impact factor: 21.873

Review 2.  Artificial Intelligence and Machine Learning for HIV Prevention: Emerging Approaches to Ending the Epidemic.

Authors:  Julia L Marcus; Whitney C Sewell; Laura B Balzer; Douglas S Krakower
Journal:  Curr HIV/AIDS Rep       Date:  2020-06       Impact factor: 5.071

Review 3.  Artificial intelligence-enabled decision support in nephrology.

Authors:  Tyler J Loftus; Benjamin Shickel; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Benjamin S Glicksberg; Jie Cao; Karandeep Singh; Lili Chan; Girish N Nadkarni; Azra Bihorac
Journal:  Nat Rev Nephrol       Date:  2022-04-22       Impact factor: 42.439

4.  Bridging the artificial intelligence valley of death in surgical decision-making.

Authors:  Jeremy Balch; Gilbert R Upchurch; Azra Bihorac; Tyler J Loftus
Journal:  Surgery       Date:  2021-02-16       Impact factor: 3.982

5.  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

6.  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

7.  Using a genetic algorithm to derive a highly predictive and context-specific frailty index.

Authors:  Alberto Zucchelli; Alessandra Marengoni; Debora Rizzuto; Amaia Calderón-Larrañaga; Maurizio Zucchelli; Roberto Bernabei; Graziano Onder; Laura Fratiglioni; Davide Liborio Vetrano
Journal:  Aging (Albany NY)       Date:  2020-04-28       Impact factor: 5.682

8.  Cardiovascular risk and aging: the need for a more comprehensive understanding.

Authors:  Ljiljana Trtica Majnarić; Zvonimir Bosnić; Tomislav Kurevija; Thomas Wittlinger
Journal:  J Geriatr Cardiol       Date:  2021-06-28       Impact factor: 3.189

9.  Assessment of Shared Decision-making for Stroke Prevention in Patients With Atrial Fibrillation: A Randomized Clinical Trial.

Authors:  Marleen Kunneman; Megan E Branda; Ian G Hargraves; Angela L Sivly; Alexander T Lee; Haeshik Gorr; Bruce Burnett; Takeki Suzuki; Elizabeth A Jackson; Erik Hess; Mark Linzer; Sarah R Brand-McCarthy; Juan P Brito; Peter A Noseworthy; Victor M Montori
Journal:  JAMA Intern Med       Date:  2020-09-01       Impact factor: 21.873

10.  Predictive Modeling for Perinatal Mortality in Resource-Limited Settings.

Authors:  Vivek V Shukla; Barry Eggleston; Namasivayam Ambalavanan; Elizabeth M McClure; Musaku Mwenechanya; Elwyn Chomba; Carl Bose; Melissa Bauserman; Antoinette Tshefu; Shivaprasad S Goudar; Richard J Derman; Ana Garcés; Nancy F Krebs; Sarah Saleem; Robert L Goldenberg; Archana Patel; Patricia L Hibberd; Fabian Esamai; Sherri Bucher; Edward A Liechty; Marion Koso-Thomas; Waldemar A Carlo
Journal:  JAMA Netw Open       Date:  2020-11-02
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