[HTML][HTML] Explainable artificial intelligence (XAI) in biomedicine: Making AI decisions trustworthy for physicians and patients
J Lötsch, D Kringel, A Ultsch - BioMedInformatics, 2021 - mdpi.com
The use of artificial intelligence (AI) systems in biomedical and clinical settings can disrupt
the traditional doctor–patient relationship, which is based on trust and transparency in …
the traditional doctor–patient relationship, which is based on trust and transparency in …
[HTML][HTML] Classification accuracy of TMS for the diagnosis of mild cognitive impairment
Objective To evaluate the performance of a Random Forest (RF) classifier on Transcranial
Magnetic Stimulation (TMS) measures in patients with Mild Cognitive Impairment (MCI) …
Magnetic Stimulation (TMS) measures in patients with Mild Cognitive Impairment (MCI) …
Machine learning‐based analysis of alveolar and vascular injury in SARS‐CoV‐2 acute respiratory failure
Severe acute respiratory syndrome‐coronavirus‐2 (SARS‐CoV‐2) pneumopathy is
characterized by a complex clinical picture and heterogeneous pathological lesions, both …
characterized by a complex clinical picture and heterogeneous pathological lesions, both …
[HTML][HTML] RADE: resource-efficient supervised anomaly detection using decision tree-based ensemble methods
The capability to perform anomaly detection in a resource-constrained setting, such as an
edge device or a loaded server, is of increasing need due to emerging on-premises …
edge device or a loaded server, is of increasing need due to emerging on-premises …
An Ensemble random forest algorithm for privacy preserving distributed medical data mining
As the voluminous amount of data is generated because of inexorably widespread
proliferation of electronic data maintained using the Electronic Health Records (EHRs) …
proliferation of electronic data maintained using the Electronic Health Records (EHRs) …
Testing semantic dominance in Mian gender: Three machine learning models
M Allassonnière-Tang, D Brown, S Fedden - Oceanic Linguistics, 2021 - muse.jhu.edu
Abstract The Trans-New Guinea language Mian has a four-valued gender system that has
been analyzed in detail as semantic. This means that the principles of gender assignment …
been analyzed in detail as semantic. This means that the principles of gender assignment …
Residual-based tree for clustered binary data
Tree-based methods are widely used for classification in health sciences research, where
data are often clustered. In this paper, we propose a variant of the standard classification …
data are often clustered. In this paper, we propose a variant of the standard classification …