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Found 11 papers, 3 papers with code
HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning
Our proposed methods thus synthesize HITL MLX policies that explicitly capture the decision boundary of the model in question for use in limited data scenarios.
Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification
Cardiovascular disease (CVD) is a serious illness affecting millions world-wide and is the leading cause of death in the US.
Optimal Sepsis Patient Treatment using Human-in-the-loop Artificial Intelligence
In this study, we develop a data-driven optimization solution that derives the optimal quantity of IV fluids for individual patients.
Prophit: Causal inverse classification for multiple continuously valued treatment policies
Inverse classification uses an induced classifier as a queryable oracle to guide test instances towards a preferred posterior class label.
21 Million Opportunities: A 19 Facility Investigation of Factors Affecting Hand Hygiene Compliance via Linear Predictive Models
This large-scale study, consisting of 21. 3 million hand hygiene opportunities from 19 distinct facilities in 10 different states, uses linear predictive models to expose factors that may affect hand hygiene compliance.
Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa
Specifically, we compare model performance using a newly defined metric -- area between the curves (ABC) -- to assess (a) whether survival curves can be reasonably predicted for colorectal cancer patients in the state of Iowa, (b) whether geographical features improve predictive performance, and (c) whether a simple binary representation or richer, spectral clustering-based representation perform better.
A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models
This large-scale study, consisting of 24. 5 million hand hygiene opportunities spanning 19 distinct facilities in 10 different states, uses linear predictive models to expose factors that may affect hand hygiene compliance.
Realistic risk-mitigating recommendations via inverse classification
Use of such past probabilities ties historical behavior to the present, allowing for more information to be taken into account when making initial probability estimates and subsequently performing inverse classification.
Generalized Inverse Classification
To solve such a problem, we propose three real-valued heuristic-based methods and two sensitivity analysis-based comparison methods, each of which is evaluated on two freely available real-world datasets.
A budget-constrained inverse classification framework for smooth classifiers
In this paper we propose a general framework and method that overcomes these and other limitations.
Early Predictions of Movie Success: the Who, What, and When of Profitability
This paper proposes a decision support system to aid movie investment decisions at the early stage of movie productions.
