Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning
By Eric Potash, J. Brew, Alexander Loewi, S. Majumdar, Andrew G. Reece, Joe Walsh, Eric Rozier, E. Jorgenson, Raed Mansour, Rayid Ghani. 2015
52 citations recorded by the source corpus.
Subfields: Health, Toxicology and Mutagenesis, Speech and Hearing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Health, Toxicology and Mutagenesis
Citations in the corpus
- Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions (2018, background): “These techniques are already common in lending [52, 84, 42], hiring [88, 89, 55], and online advertising [119], and increasingly figure into decisions regarding pretrial detention [3, 80, 27], immigration detention [77], child maltreatment screening [122, 34, 13], public health [95, 105], and welfar”
- Algorithmic Fairness: Choices, Assumptions, and Definitions (2021, background): “2018, Potash et al. 2015), and welfare eligibility (Eubanks 2018).”
- Direct Learning to Rank and Rerank (2018, background): “…medical records inappropriately (as considered by Menon et al, 2013), prioritizing safety inspections or lead paint inspections in dwellings (Potash et al, 2015), ranking companies in order of likeliness of committing tax violations (see Kong and Saar-Tsechansky, 2013), ranking water pipes…”