Optimized scoring systems : toward trust in machine learning for healthcare and criminal justice
Year of publication: |
September-October 2018
|
---|---|
Authors: | Rudin, Cynthia ; Ustun, Berk |
Published in: |
Interfaces : the INFORMS journal on the practice of operations research. - Catonsville, MD : INFORMS, ISSN 0092-2102, ZDB-ID 120785-4. - Vol. 48.2018, 5, p. 449-466
|
Subject: | machine learning | sparse linear models | scoring systems | trust | transparency | interpretability | healthcare | criminal justice | recidivism | Künstliche Intelligenz | Artificial intelligence | Gesundheitswesen | Health care system | Vertrauen | Confidence | Gesundheitsversorgung | Health care | Kriminalität | Crime |
-
Overcoming consumer resistance to ai in general health care
Gaczek, Piotr, (2023)
-
D'Amico, Alessandra, (2024)
-
Yang, Hui, (2022)
- More ...
-
Importance sampling in stochastic programming : a Markov chain Monte Carlo approach
Parpas, Panos, (2015)
-
Ertekin, Şeyda, (2013)
-
The big data newsvendor : practical insights from machine learning analysis
Rudin, Cynthia, (2013)
- More ...