Literature DB >> 27115375

Moving From Clinical Trials to Precision Medicine: The Role for Predictive Modeling.

Michael J Pencina1, Eric D Peterson2.   

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Year:  2016        PMID: 27115375     DOI: 10.1001/jama.2016.4839

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


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  21 in total

1.  A nonparametric updating method to correct clinical prediction model drift.

Authors:  Sharon E Davis; Robert A Greevy; Christopher Fonnesbeck; Thomas A Lasko; Colin G Walsh; Michael E Matheny
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

2.  Translation from the data of clinical trials to precision medicine: limitation of the current risk score for predicting coronary thrombosis and major bleeding.

Authors:  Jong-Hwa Ahn; Jeong Yoon Jang; Young-Hoon Jeong
Journal:  J Thorac Dis       Date:  2016-09       Impact factor: 2.895

3.  Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality.

Authors:  Sharon E Davis; Thomas A Lasko; Guanhua Chen; Michael E Matheny
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

4.  Predicting 30-Day Hospital Readmission Risk in a National Cohort of Patients with Cirrhosis.

Authors:  Jejo D Koola; Sam B Ho; Aize Cao; Guanhua Chen; Amy M Perkins; Sharon E Davis; Michael E Matheny
Journal:  Dig Dis Sci       Date:  2019-09-17       Impact factor: 3.199

5.  Translational Advances in the Field of Pulmonary Hypertension Molecular Medicine of Pulmonary Arterial Hypertension. From Population Genetics to Precision Medicine and Gene Editing.

Authors:  Eric D Austin; James West; James E Loyd; Anna R Hemnes
Journal:  Am J Respir Crit Care Med       Date:  2017-01-01       Impact factor: 21.405

6.  Unreliability as a threat to understanding psychopathology: The cautionary tale of attentional bias.

Authors:  Thomas L Rodebaugh; Rachel B Scullin; Julia K Langer; David J Dixon; Jonathan D Huppert; Amit Bernstein; Ariel Zvielli; Eric J Lenze
Journal:  J Abnorm Psychol       Date:  2016-06-20

7.  askMUSIC: Leveraging a Clinical Registry to Develop a New Machine Learning Model to Inform Patients of Prostate Cancer Treatments Chosen by Similar Men.

Authors:  Gregory B Auffenberg; Khurshid R Ghani; Shreyas Ramani; Etiowo Usoro; Brian Denton; Craig Rogers; Benjamin Stockton; David C Miller; Karandeep Singh
Journal:  Eur Urol       Date:  2018-10-11       Impact factor: 20.096

8.  Prognostic models will be victims of their own success, unless….

Authors:  Matthew C Lenert; Michael E Matheny; Colin G Walsh
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

Review 9.  Research Opportunities to Improve Neonatal Red Blood Cell Transfusion.

Authors:  Ravi Mangal Patel; Erin K Meyer; John A Widness
Journal:  Transfus Med Rev       Date:  2016-07-04

10.  Calibration drift in regression and machine learning models for acute kidney injury.

Authors:  Sharon E Davis; Thomas A Lasko; Guanhua Chen; Edward D Siew; Michael E Matheny
Journal:  J Am Med Inform Assoc       Date:  2017-11-01       Impact factor: 4.497

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