Literature DB >> 30725133

Neural networks and deep learning: a brief introduction.

Adrian Iustin Georgevici1, Marius Terblanche2.   

Abstract

Mesh:

Year:  2019        PMID: 30725133     DOI: 10.1007/s00134-019-05537-w

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


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  5 in total

1.  A Case Study on Sepsis Using PubMed and Deep Learning for Ontology Learning.

Authors:  Mercedes Arguello Casteleiro; Diego Maseda Fernandez; George Demetriou; Warren Read; Maria Jesus Fernandez Prieto; Julio Des Diz; Goran Nenadic; John Keane; Robert Stevens
Journal:  Stud Health Technol Inform       Date:  2017

Review 2.  Deep learning for healthcare: review, opportunities and challenges.

Authors:  Riccardo Miotto; Fei Wang; Shuang Wang; Xiaoqian Jiang; Joel T Dudley
Journal:  Brief Bioinform       Date:  2018-11-27       Impact factor: 11.622

3.  Mapping Patient Trajectories using Longitudinal Extraction and Deep Learning in the MIMIC-III Critical Care Database.

Authors:  Brett K Beaulieu-Jones; Patryk Orzechowski; Jason H Moore
Journal:  Pac Symp Biocomput       Date:  2018

4.  The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.

Authors:  Matthieu Komorowski; Leo A Celi; Omar Badawi; Anthony C Gordon; A Aldo Faisal
Journal:  Nat Med       Date:  2018-10-22       Impact factor: 53.440

Review 5.  Applications of Deep Learning in Biomedicine.

Authors:  Polina Mamoshina; Armando Vieira; Evgeny Putin; Alex Zhavoronkov
Journal:  Mol Pharm       Date:  2016-03-29       Impact factor: 4.939

  5 in total
  4 in total

1.  Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation.

Authors:  Behrooz Mamandipoor; Fernando Frutos-Vivar; Oscar Peñuelas; Richard Rezar; Konstantinos Raymondos; Alfonso Muriel; Bin Du; Arnaud W Thille; Fernando Ríos; Marco González; Lorenzo Del-Sorbo; Maria Del Carmen Marín; Bruno Valle Pinheiro; Marco Antonio Soares; Nicolas Nin; Salvatore M Maggiore; Andrew Bersten; Malte Kelm; Raphael Romano Bruno; Pravin Amin; Nahit Cakar; Gee Young Suh; Fekri Abroug; Manuel Jibaja; Dimitros Matamis; Amine Ali Zeggwagh; Yuda Sutherasan; Antonio Anzueto; Bernhard Wernly; Andrés Esteban; Christian Jung; Venet Osmani
Journal:  BMC Med Inform Decis Mak       Date:  2021-05-07       Impact factor: 2.796

2.  COVID-opt-aiNet: A clinical decision support system for COVID-19 detection.

Authors:  Summrina Kanwal; Faiza Khan; Sultan Alamri; Kia Dashtipur; Mandar Gogate
Journal:  Int J Imaging Syst Technol       Date:  2022-01-03       Impact factor: 2.177

3.  SMaSH: a scalable, general marker gene identification framework for single-cell RNA-sequencing.

Authors:  M E Nelson; S G Riva; A Cvejic
Journal:  BMC Bioinformatics       Date:  2022-08-08       Impact factor: 3.307

4.  Predicting non-attendance in hospital outpatient appointments using deep learning approach.

Authors:  M Dashtban; Weizi Li
Journal:  Health Syst (Basingstoke)       Date:  2021-05-24
  4 in total

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