Literature DB >> 28142275

Machine Learning and Electronic Health Records: A Paradigm Shift.

Daniel E Adkins1.   

Abstract

Entities:  

Keywords:  Diagnosis And Classification; Epidemiology; Ethics; Statistics; Suicide

Mesh：

Year:  2017        PMID： 28142275      PMCID： PMC5807064          DOI： 10.1176/appi.ajp.2016.16101169

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN： 0002-953X            Impact factor:   18.112


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  4 in total

1.  Causal diagrams for epidemiologic research.

Authors:  S Greenland; J Pearl; J M Robins
Journal:  Epidemiology       Date:  1999-01       Impact factor: 4.822

Review 2.  Deep learning in neural networks: an overview.

Authors:  Jürgen Schmidhuber
Journal:  Neural Netw       Date:  2014-10-13

Review 3.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

Review 4.  Mining electronic health records: towards better research applications and clinical care.

Authors:  Peter B Jensen; Lars J Jensen; Søren Brunak
Journal:  Nat Rev Genet       Date:  2012-05-02       Impact factor: 53.242
  4 in total
  14 in total

1.  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

2.  The emerging landscape of health research based on biobanks linked to electronic health records: Existing resources, statistical challenges, and potential opportunities.

Authors:  Lauren J Beesley; Maxwell Salvatore; Lars G Fritsche; Anita Pandit; Arvind Rao; Chad Brummett; Cristen J Willer; Lynda D Lisabeth; Bhramar Mukherjee
Journal:  Stat Med       Date:  2019-12-20       Impact factor: 2.373

3.  Leveraging the potential of machine learning for assessing vascular ageing: state-of-the-art and future research.

Authors:  Vasiliki Bikia; Terence Fong; Rachel E Climie; Rosa-Maria Bruno; Bernhard Hametner; Christopher Mayer; Dimitrios Terentes-Printzios; Peter H Charlton
Journal:  Eur Heart J Digit Health       Date:  2021-10-18

4.  Leveraging psychiatric and medical genetics to understand comorbid depression and obesity.

Authors:  Anna R Docherty
Journal:  Br J Psychiatry       Date:  2017-08       Impact factor: 9.319

5.  Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.

Authors:  Na Hong; Andrew Wen; Daniel J Stone; Shintaro Tsuji; Paul R Kingsbury; Luke V Rasmussen; Jennifer A Pacheco; Prakash Adekkanattu; Fei Wang; Yuan Luo; Jyotishman Pathak; Hongfang Liu; Guoqian Jiang
Journal:  J Biomed Inform       Date:  2019-10-14       Impact factor: 6.317

6.  Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma.

Authors:  Rawan AlSaad; Qutaibah Malluhi; Ibrahim Janahi; Sabri Boughorbel
Journal:  BMC Med Inform Decis Mak       Date:  2019-11-08       Impact factor: 2.796

7.  Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts.

Authors:  Fuchiang R Tsui; Lingyun Shi; Victor Ruiz; Neal D Ryan; Candice Biernesser; Satish Iyengar; Colin G Walsh; David A Brent
Journal:  JAMIA Open       Date:  2021-03-17

8.  Robust data-driven identification of risk factors and their interactions: A simulation and a study of parental and demographic risk factors for schizophrenia.

Authors:  David Gyllenberg; Ian W McKeague; Andre Sourander; Alan S Brown
Journal:  Int J Methods Psychiatr Res       Date:  2020-06-10       Impact factor: 4.035

9.  Genome-Wide Association Study of Suicide Death and Polygenic Prediction of Clinical Antecedents.

Authors:  Anna R Docherty; Andrey A Shabalin; Emily DiBlasi; Eric Monson; Niamh Mullins; Daniel E Adkins; Silviu-Alin Bacanu; Amanda V Bakian; Sheila Crowell; Danli Chen; Todd M Darlington; William B Callor; Erik D Christensen; Douglas Gray; Brooks Keeshin; Michael Klein; John S Anderson; Leslie Jerominski; Caroline Hayward; David J Porteous; Andrew McIntosh; Qingqin Li; Hilary Coon
Journal:  Am J Psychiatry       Date:  2020-10-01       Impact factor: 18.112

10.  Unlocking the Potential of Electronic Health Records for Health Research.

Authors:  S Lee; Y Xu; A G D Apos Souza; E A Martin; C Doktorchik; Z Zhang; H Quan
Journal:  Int J Popul Data Sci       Date:  2020-01-30
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