Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI
Abstract Generative Artificial Intelligence is set to revolutionize healthcare delivery by
transforming traditional patient care into a more personalized, efficient, and proactive …
transforming traditional patient care into a more personalized, efficient, and proactive …
Reward shaping-based actor–critic deep reinforcement learning for residential energy management
Residential energy consumption continues to climb steadily, requiring intelligent energy
management strategies to reduce power system pressures and residential electricity bills …
management strategies to reduce power system pressures and residential electricity bills …
Ddxplus: A new dataset for automatic medical diagnosis
A Fansi Tchango, R Goel, Z Wen… - Advances in neural …, 2022 - proceedings.neurips.cc
There has been a rapidly growing interest in Automatic Symptom Detection (ASD) and
Automatic Diagnosis (AD) systems in the machine learning research literature, aiming to …
Automatic Diagnosis (AD) systems in the machine learning research literature, aiming to …
Generative adversarial regularized mutual information policy gradient framework for automatic diagnosis
Automatic diagnosis systems have attracted increasing attention in recent years. The
reinforcement learning (RL) is an attractive technique for building an automatic diagnosis …
reinforcement learning (RL) is an attractive technique for building an automatic diagnosis …
Diaformer: Automatic diagnosis via symptoms sequence generation
Automatic diagnosis has attracted increasing attention but remains challenging due to multi-
step reasoning. Recent works usually address it by reinforcement learning methods …
step reasoning. Recent works usually address it by reinforcement learning methods …
Information maximization perspective of orthogonal matching pursuit with applications to explainable ai
A Chattopadhyay, R Pilgrim… - Advances in Neural …, 2024 - proceedings.neurips.cc
Abstract Information Pursuit (IP) is a classical active testing algorithm for predicting an output
by sequentially and greedily querying the input in order of information gain. However, IP is …
by sequentially and greedily querying the input in order of information gain. However, IP is …
A cost-aware framework for the development of AI models for healthcare applications
G Erion, JD Janizek, C Hudelson… - Nature Biomedical …, 2022 - nature.com
Accurate artificial intelligence (AI) for disease diagnosis could lower healthcare workloads.
However, when time or financial resources for gathering input data are limited, as in …
However, when time or financial resources for gathering input data are limited, as in …
DxFormer: a decoupled automatic diagnostic system based on decoder–encoder transformer with dense symptom representations
Motivation Symptom-based automatic diagnostic system queries the patient's potential
symptoms through continuous interaction with the patient and makes predictions about …
symptoms through continuous interaction with the patient and makes predictions about …
Classification with costly features as a sequential decision-making problem
This work focuses on a specific classification problem, where the information about a sample
is not readily available, but has to be acquired for a cost, and there is a per-sample budget …
is not readily available, but has to be acquired for a cost, and there is a per-sample budget …
Adaptive early classification of temporal sequences using deep reinforcement learning
C Martinez, E Ramasso, G Perrin… - Knowledge-Based Systems, 2020 - Elsevier
In this article, we address the problem of early classification (EC) of temporal sequences
with adaptive prediction times. We frame EC as a sequential decision making problem and …
with adaptive prediction times. We frame EC as a sequential decision making problem and …