Phung D - Search Results

1

The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project design and methodologies: a dimensional approach to understanding neurobiological and genetic aetiology.

Knott R, Johnson BP, Tiego J, Mellahn O, Finlay A, Kallady K, Kouspos M, Mohanakumar Sindhu VP, Hawi Z, Arnatkeviciute A, Chau T, Maron D, Mercieca EC, Furley K, Harris K, Williams K, Ure A, Fornito A, Gray K, Coghill D, Nicholson A, Phung D, Loth E, Mason L, Murphy D, Buitelaar J, Bellgrove MA. Knott R, et al. Among authors: phung d. Mol Autism. 2021 Aug 5;12(1):55. doi: 10.1186/s13229-021-00457-3. Mol Autism. 2021. PMID: 34353377 Free PMC article.

2

TOBY play-pad application to teach children with ASD - A pilot trial.

Moore DW, Venkatesh S, Anderson A, Greenhill S, Phung D, Duong T, Cairns D, Marshall W, Whitehouse AJ. Moore DW, et al. Among authors: phung d. Dev Neurorehabil. 2015;18(4):213-7. doi: 10.3109/17518423.2013.784817. Epub 2013 Jul 19. Dev Neurorehabil. 2015. PMID: 23869435 Clinical Trial.

3

Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records.

Rana S, Luo W, Tran T, Venkatesh S, Talman P, Phan T, Phung D, Clissold B. Rana S, et al. Among authors: phung d. Front Neurol. 2021 Sep 27;12:670379. doi: 10.3389/fneur.2021.670379. eCollection 2021. Front Neurol. 2021. PMID: 34646226 Free PMC article.

4

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding.

Nguyen D, Luo W, Venkatesh S, Phung D. Nguyen D, et al. Among authors: phung d. J Med Syst. 2018 Apr 11;42(5):94. doi: 10.1007/s10916-018-0951-4. J Med Syst. 2018. PMID: 29644446

5

Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso.

Kamkar I, Gupta SK, Phung D, Venkatesh S. Kamkar I, et al. Among authors: phung d. J Biomed Inform. 2015 Feb;53:277-90. doi: 10.1016/j.jbi.2014.11.013. Epub 2014 Dec 9. J Biomed Inform. 2015. PMID: 25500636 Free article.

6

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM).

Tran T, Nguyen TD, Phung D, Venkatesh S. Tran T, et al. Among authors: phung d. J Biomed Inform. 2015 Apr;54:96-105. doi: 10.1016/j.jbi.2015.01.012. Epub 2015 Feb 3. J Biomed Inform. 2015. PMID: 25661261 Free article.

7

Screening for post 32-week preterm birth risk: how helpful is routine perinatal data collection?

Luo W, Huning EY, Tran T, Phung D, Venkatesh S. Luo W, et al. Among authors: phung d. Heliyon. 2016 Jun 1;2(6):e00119. doi: 10.1016/j.heliyon.2016.e00119. eCollection 2016 Jun. Heliyon. 2016. PMID: 27441291 Free PMC article.

8

Stabilizing l1-norm prediction models by supervised feature grouping.

Kamkar I, Gupta SK, Phung D, Venkatesh S. Kamkar I, et al. Among authors: phung d. J Biomed Inform. 2016 Feb;59:149-68. doi: 10.1016/j.jbi.2015.11.012. Epub 2015 Dec 9. J Biomed Inform. 2016. PMID: 26689771 Free article.

9

Predicting healthcare trajectories from medical records: A deep learning approach.

Pham T, Tran T, Phung D, Venkatesh S. Pham T, et al. Among authors: phung d. J Biomed Inform. 2017 May;69:218-229. doi: 10.1016/j.jbi.2017.04.001. Epub 2017 Apr 12. J Biomed Inform. 2017. PMID: 28410981 Free article.

10

Predicting unplanned readmission after myocardial infarction from routinely collected administrative hospital data.

Rana S, Tran T, Luo W, Phung D, Kennedy RL, Venkatesh S. Rana S, et al. Among authors: phung d. Aust Health Rev. 2014 Sep;38(4):377-82. doi: 10.1071/AH14059. Aust Health Rev. 2014. PMID: 25001433

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