Literature DB >> 22250218

Clinical prediction rules.

Simon T Adams1, Stephen H Leveson.   

Abstract

Mesh：

Year:  2012        PMID： 22250218     DOI： 10.1136/bmj.d8312

Source DB:  PubMed          Journal:  BMJ        ISSN： 0959-8138


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  70 in total

1.  "A catalyst for action": Factors for implementing clinical risk prediction models of infection in home care settings.

Authors:  Dawn Dowding; David Russell; Margaret V McDonald; Marygrace Trifilio; Jiyoun Song; Carlin Brickner; Jingjing Shang
Journal:  J Am Med Inform Assoc       Date:  2021-02-15       Impact factor: 4.497

2.  Imaging-based observational databases for clinical problem solving: the role of informatics.

Authors:  Alex A T Bui; William Hsu; Corey Arnold; Suzie El-Saden; Denise R Aberle; Ricky K Taira
Journal:  J Am Med Inform Assoc       Date:  2013-06-17       Impact factor: 4.497

3.  Six Month Abstinence Heterogeneity in the Best Quit Study.

Authors:  Harold S Javitz; Terry M Bush; Jennifer C Lovejoy; Alula J Torres; Tallie Wetzel; Ken P Wassum; Marcia M Tan; Nabil Alshurafa; Bonnie Spring
Journal:  Ann Behav Med       Date:  2019-11-09

4.  First do no harm: the e-lephant in the consulting room needs firm handling by the doctor.

Authors:  Wilfrid Treasure
Journal:  Br J Gen Pract       Date:  2012-12       Impact factor: 5.386

5.  Risk of childhood cancer with symptoms in primary care: a population-based case-control study.

Authors:  Rachel M Dommett; Theresa Redaniel; Michael C G Stevens; Richard M Martin; William Hamilton
Journal:  Br J Gen Pract       Date:  2013-01       Impact factor: 5.386

Review 6.  Developing an international register of clinical prediction rules for use in primary care: a descriptive analysis.

Authors:  Claire Keogh; Emma Wallace; Kirsty K O'Brien; Rose Galvin; Susan M Smith; Cliona Lewis; Anthony Cummins; Grainne Cousins; Borislav D Dimitrov; Tom Fahey
Journal:  Ann Fam Med       Date:  2014-07       Impact factor: 5.166

Review 7.  Italian guidelines on the assessment and management of pediatric head injury in the emergency department.

Authors:  Liviana Da Dalt; Niccolo' Parri; Angela Amigoni; Agostino Nocerino; Francesca Selmin; Renzo Manara; Paola Perretta; Maria Paola Vardeu; Silvia Bressan
Journal:  Ital J Pediatr       Date:  2018-01-15       Impact factor: 2.638

8.  In-depth mining of clinical data: the construction of clinical prediction model with R.

Authors:  Zhi-Rui Zhou; Wei-Wei Wang; Yan Li; Kai-Rui Jin; Xuan-Yi Wang; Zi-Wei Wang; Yi-Shan Chen; Shao-Jia Wang; Jing Hu; Hui-Na Zhang; Po Huang; Guo-Zhen Zhao; Xing-Xing Chen; Bo Li; Tian-Song Zhang
Journal:  Ann Transl Med       Date:  2019-12

9.  Development of two artificial neural network models to support the diagnosis of pulmonary tuberculosis in hospitalized patients in Rio de Janeiro, Brazil.

Authors:  Fábio S Aguiar; Rodrigo C Torres; João V F Pinto; Afrânio L Kritski; José M Seixas; Fernanda C Q Mello
Journal:  Med Biol Eng Comput       Date:  2016-03-25       Impact factor: 2.602

10.  Extubation outcome after a successful spontaneous breathing trial: A multicenter validation of a 3-factor prediction model.

Authors:  Yang Liu; Y U Mu; Guo-Qiang Li; Xin Yu; Pei-Jun Li; Zhi-Qi Shen; Hao-Xun Wang; Lu-Qing Wei
Journal:  Exp Ther Med       Date:  2015-08-12       Impact factor: 2.447
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