Counterfactual Explanations and Predictive Models to Enhance Clinical Decision-Making in Schizophrenia using Digital Phenotyping

6 June 2023

Papers citing "Counterfactual Explanations and Predictive Models to Enhance Clinical Decision-Making in Schizophrenia using Digital Phenotyping"

8 / 8 papers shown

Title
Explaining Time Series Predictions with Dynamic Masks Jonathan Crabbé M. Schaar FAtt AI4TS 93 81 0 09 Jun 2021
Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts Kaivalya Rawal Ece Kamar Himabindu Lakkaraju 69 42 0 22 Dec 2020
What went wrong and when? Instance-wise Feature Importance for Time-series Models S. Tonekaboni Shalmali Joshi Kieran Campbell David Duvenaud Anna Goldenberg FAtt OOD AI4TS 107 14 0 05 Mar 2020
Interpretability of machine learning based prediction models in healthcare Gregor Stiglic Primož Kocbek Nino Fijačko Marinka Zitnik K. Verbert Leona Cilar AI4CE 67 386 0 20 Feb 2020
Explaining an increase in predicted risk for clinical alerts Michaela Hardt A. Rajkomar Gerardo Flores Andrew M. Dai M. Howell Greg S. Corrado Claire Cui Moritz Hardt FAtt 59 12 0 10 Jul 2019
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations R. Mothilal Amit Sharma Chenhao Tan CML 128 1,029 0 19 May 2019
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use S. Tonekaboni Shalmali Joshi M. Mccradden Anna Goldenberg 78 396 0 13 May 2019
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 135 2,366 0 01 Nov 2017