Interpretability of machine learning based prediction models in healthcare

20 February 2020

Papers citing "Interpretability of machine learning based prediction models in healthcare"

21 / 21 papers shown

Title
Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Dima Alattal Asal Khoshravan Azar P. Myles Richard Branson Hatim Abdulhussein Allan Tucker 29 0 0 10 May 2025
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 93 0 0 14 Sep 2024
ECOR: Explainable CLIP for Object Recognition Ali Rasekh Sepehr Kazemi Ranjbar Milad Heidari Wolfgang Nejdl VLM 43 4 0 19 Apr 2024
Machine Learning For An Explainable Cost Prediction of Medical Insurance U. Orji Elochukwu A. Ukwandu 21 31 0 23 Nov 2023
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 80 7 0 14 Sep 2023
Counterfactual Explanations and Predictive Models to Enhance Clinical Decision-Making in Schizophrenia using Digital Phenotyping Juan Sebastián Canas Francisco Gomez Omar Costilla-Reyes 21 1 0 06 Jun 2023
EAMDrift: An interpretable self retrain model for time series Gonccalo Mateus Cláudia Soares João Leitão António Rodrigues AI4TS 13 0 0 31 May 2023
A Multimodal Data-driven Framework for Anxiety Screening Haimiao Mo Shuai Ding Siu Cheung Hui 13 6 0 16 Mar 2023
Augmenting Pathologists with NaviPath: Design and Evaluation of a Human-AI Collaborative Navigation System H. Gu Chun-Hung Yang Mohammad Haeri Junchang Wang Shirley Tang Wenzhong Yan Shujin He Christopher Kazu Williams S. Magaki Xiang Ánthony' Chen 25 26 0 14 Feb 2023
I-SPLIT: Deep Network Interpretability for Split Computing Federico Cunico Luigi Capogrosso Francesco Setti D. Carra Franco Fummi Marco Cristani 27 14 0 23 Sep 2022
Augmented cross-selling through explainable AI -- a case from energy retailing Felix Haag K. Hopf Pedro Menelau Vasconcelos Thorsten Staake 21 4 0 24 Aug 2022
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics Yiqiao Li Jianlong Zhou Sunny Verma Fang Chen XAI 28 39 0 26 Jul 2022
Recent Advances in Automated Question Answering In Biomedical Domain K. D. Baksi 16 0 0 10 Nov 2021
IAC: A Framework for Enabling Patient Agency in the Use of AI-Enabled Healthcare Chinasa T. Okolo Michelle González Amador 13 0 0 29 Oct 2021
Shapley variable importance clouds for interpretable machine learning Yilin Ning M. Ong Bibhas Chakraborty B. Goldstein Daniel Ting Roger Vaughan Nan Liu FAtt 21 69 0 06 Oct 2021
Improvement of a Prediction Model for Heart Failure Survival through Explainable Artificial Intelligence Pedro A. Moreno-Sánchez 26 32 0 20 Aug 2021
Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary Gaëtan Rensonnet Louise Adam Benoit Macq MedIm 34 6 0 16 Jul 2021
Do Input Gradients Highlight Discriminative Features? Harshay Shah Prateek Jain Praneeth Netrapalli AAML FAtt 21 57 0 25 Feb 2021
Model-agnostic Feature Importance and Effects with Dependent Features -- A Conditional Subgroup Approach Christoph Molnar Gunnar Konig B. Bischl Giuseppe Casalicchio 20 77 0 08 Jun 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 29 482 0 28 May 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017