Explainability and white box in drug discovery
KK Kırboğa, S Abbasi… - Chemical Biology & Drug …, 2023 - Wiley Online Library
Recently, artificial intelligence (AI) techniques have been increasingly used to overcome the
challenges in drug discovery. Although traditional AI techniques generally have high …
challenges in drug discovery. Although traditional AI techniques generally have high …
Explainable Artificial Intelligence for Patient Safety: A Review of Application in Pharmacovigilance
S Lee, S Kim, J Lee, JY Kim, MH Song, S Lee - IEEE Access, 2023 - ieeexplore.ieee.org
Explainable AI (XAI) is a methodology that complements the black box of artificial
intelligence, and its necessity has recently been highlighted in various fields. The purpose of …
intelligence, and its necessity has recently been highlighted in various fields. The purpose of …
Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage
Objective The manual recording of electronic health records (EHRs) by clinicians in the
emergency department (ED) is time-consuming and challenging. In light of recent …
emergency department (ED) is time-consuming and challenging. In light of recent …
Cost prediction for ischemic heart disease hospitalization: Interpretable feature extraction using network analysis
K Gong, Y Xue, L Kong, X Xie - Journal of Biomedical Informatics, 2024 - Elsevier
Objectives: Ischemic heart disease (IHD) is a significant contributor to global mortality and
disability, imposing a substantial social and economic burden on individuals and healthcare …
disability, imposing a substantial social and economic burden on individuals and healthcare …
Evaluation of LIME and SHAP in explaining automatic ICD-10 classifications of Swedish gastrointestinal discharge summaries
A Dolk, H Davidsen, H Dalianis, T Vakili - Scandinavian Conference on …, 2022 - ecp.ep.liu.se
A computer-assisted coding tool could alleviate the burden on medical staff to assign ICD
diagnosis codes to discharge summaries by utilising deep learning models to generate …
diagnosis codes to discharge summaries by utilising deep learning models to generate …
Spectrum Prediction Based on Wavelet Decomposition Explainable LSTM
K Geng, J Zhang, C Yao - IEEE Transactions on Consumer …, 2024 - ieeexplore.ieee.org
To address the problems of the limited prediction accuracy and poor explainability of the
deep learning (DL) ena-bled spectrum prediction models, a spectrum prediction method …
deep learning (DL) ena-bled spectrum prediction models, a spectrum prediction method …
SSET: Swapping–Sliding Explanation for Time Series Classifiers in Affect Detection
N Fouladgar - Available at SSRN 4559731, 2024 - papers.ssrn.com
Local explanation of machine learning (ML) models has recently received significant
attention due to its ability to reduce ambiguities about why the models make specific …
attention due to its ability to reduce ambiguities about why the models make specific …
Learning from Complex Medical Data Sources
J Rebane - 2022 - diva-portal.org
Large, varied, and time-evolving data sources can be observed across many domains and
present a unique challenge for classification problems, in which traditional machine learning …
present a unique challenge for classification problems, in which traditional machine learning …
Transparent-ATC-DNN: Deep Neural Network Based ATC Drug Class Prediction Using 17 Molecular Properties and Transparency Analysis Using SHAP Explanation …
A Chaurasia, D Kumar - 2024 - researchsquare.com
Abstract The Anatomical Therapeutic Chemical (ATC) system assigns unique codes to drugs
for tracking, aiding in prescription, public health policies, and research. Different classifiers …
for tracking, aiding in prescription, public health policies, and research. Different classifiers …
[PDF][PDF] Transparent-ATC-DNN: Deep Neural Network Based ATC Drug Class Prediction Using 17 Molecular Properties and Transparency Analysis Using SHAP …
D Kumar - scholar.archive.org
Abstract The Anatomical Therapeutic Chemical (ATC) system assigns unique codes to drugs
for tracking, aiding in prescription, public health policies, and research. Different classifiers …
for tracking, aiding in prescription, public health policies, and research. Different classifiers …