Applying random forest in a health administrative data context: a conceptual guide

Autor: Caroline King, Erin Strumpf

Publikováno v: Health Services and Outcomes Research Methodology. 22:96-117

To introduce Random Forest (RF), a machine learning method, in an accessible way for health services researchers and highlight its unique considerations when applied to health administrative data. Physician claims’ data from the universal public in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::51512a8d9df73e52f9dacff015cdb1f6
https://doi.org/10.1007/s10742-021-00255-7

Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling

Autor: Alvaro A. A. Fernandes, Norman W. Paton, Martin Koehler, Alex Bogatu, Edward Abel, Leonid Libkin, John A. Keane, Nikolaos Konstantinou, Lacramioara Mazilu, Cristina Civili

Publikováno v: Koehler, M, Abel, E, Bogatu, A, Civili, C, Mazilu, L, Konstantinou, N, Fernandes, A A A, Keane, J, Libkin, L & Paton, N W 2021, ' Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling ', IEEE Transactions on Big Data, vol. 7, no. 1, pp. 169-186 . https://doi.org/10.1109/TBDATA.2019.2907588
Koehler, M, Abel, E, Bogatu, A, Civili, C, Mazilu, L, Konstantinou, N, Fernandes, A, Keane, J, Libkin, L & Paton, N 2019, ' Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling ', IEEE Transactions on Big Data, vol. 0, no. 0, pp. 1-1 . https://doi.org/10.1109/TBDATA.2019.2907588

The process of preparing potentially large and complex data sets for further analysis or manual examination is often called data wrangling. In classical warehousing environments, the steps in such a process are carried out using Extract-Transform-Loa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5072eac55d25f6baf9158a6be185d2d6
https://doi.org/10.1109/tbdata.2019.2907588

A Framework for Assessing Socio-Economic Impact of Covid-19 at Household Level

Autor: Khagendra Katuwal, Nirmal Kumar Raut, Naveen Adhikari

Publikováno v: Tribhuvan University Journal. :81-100

The governments across the world have adopted measures to contain the spread of virus which has resulted into restricted economic activities. While economic impacts are diverse and wide spread, the interest in examining impacts at household level is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8e3577dfa5b34945ce99e80ec50b7e76
https://doi.org/10.3126/tuj.v34i0.31541

From Brexit to Article 50: Applying Critical Realism to the design and analysis of a longitudinal causal mapping study

Autor: Christopher Smith, Judy Scully, Duncan Shaw

Publikováno v: Shaw, D, Smith, C & Scully, J 2019, ' From Brexit to Article 50: Applying Critical Realism to the design and analysis of a longitudinal causal mapping study ', European Journal of Operational Research, vol. 276, no. 2, pp. 723-735 . https://doi.org/10.1016/j.ejor.2019.01.030

The UK's journey from the Brexit referendum on 24th June 2016 until activating Article 50 of the Treaty of Lisbon on 29th March 2017 was turbulent. Through applying soft Operational Research (OR) tools within a Critical Realist (CR) philosophy we ana

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a447dfcc44c2ffc6dc952fab50a4a594
https://doi.org/10.1016/j.ejor.2019.01.030

Clustering Functional Data into Groups by Using Projections

Autor: Tung Pham, Peter A. Hall, Aurore Delaigle

Publikováno v: Journal of the Royal Statistical Society Series B: Statistical Methodology. 81:271-304

Summary We show that, in the functional data context, by appropriately exploiting the functional nature of the data, it is possible to cluster the observations asymptotically perfectly. We demonstrate that this level of performance can sometimes be a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::19c4d2712bd60ba83d482896499a45dd
https://doi.org/10.1111/rssb.12310