Interpretable Machine Learning of Two‐Photon Absorption
Sign Up to like & getrecommendations! Published in 2023 at "Advanced Science"
DOI: 10.1002/advs.202204902
Abstract: Molecules with strong two‐photon absorption (TPA) are important in many advanced applications such as upconverted laser and photodynamic therapy, but their design is hampered by the high cost of experimental screening and accurate quantum chemical… read more here.
Keywords: interpretable machine; photon absorption; two photon; machine learning ... See more keywords
Interpretable Machine-Learning and Big Data Mining to Predict Gas Diffusivity in Metal-Organic Frameworks.
Sign Up to like & getrecommendations! Published in 2023 at "Advanced science"
DOI: 10.1002/advs.202301461
Abstract: For gas separation and catalysis by metal-organic frameworks (MOFs), gas diffusion has a substantial impact on the process' overall rate, so it is necessary to determine the molecular diffusion behavior within the MOFs. In this… read more here.
Keywords: gas; organic frameworks; metal organic; interpretable machine ... See more keywords
Interpretable machine learning for genomics
Sign Up to like & getrecommendations! Published in 2021 at "Human Genetics"
DOI: 10.1007/s00439-021-02387-9
Abstract: High-throughput technologies such as next-generation sequencing allow biologists to observe cell function with unprecedented resolution, but the resulting datasets are too large and complicated for humans to understand without the aid of advanced statistical methods.… read more here.
Keywords: machine; medicine; machine learning; interpretable machine ... See more keywords
The explanation game: a formal framework for interpretable machine learning
Sign Up to like & getrecommendations! Published in 2020 at "Synthese"
DOI: 10.1007/s11229-020-02629-9
Abstract: We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation(s) for… read more here.
Keywords: explanation; game; machine learning; framework interpretable ... See more keywords
Interpretable Machine Learning for Early Prediction of Prognosis in Sepsis: A Discovery and Validation Study
Sign Up to like & getrecommendations! Published in 2022 at "Infectious Diseases and Therapy"
DOI: 10.1007/s40121-022-00628-6
Abstract: This study aimed to develop and validate an interpretable machine-learning model based on clinical features for early predicting in-hospital mortality in critically ill patients with sepsis. We enrolled all patients with sepsis in the Medical… read more here.
Keywords: sepsis; validation; machine; model ... See more keywords
Three-dimensional modelling of alteration zones based on geochemical exploration data: An interpretable machine-learning approach via generalized additive models
Sign Up to like & getrecommendations! Published in 2020 at "Applied Geochemistry"
DOI: 10.1016/j.apgeochem.2020.104781
Abstract: Abstract The inference of deep alterations plays an important role in the analysis of deep geological processes and the targeting of buried mineral resources. However, the construction of three-dimensional (3D) models of alteration zones based… read more here.
Keywords: based geochemical; zones based; alteration zones; three dimensional ... See more keywords
Application of interpretable machine learning models for the intelligent decision
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.12.012
Abstract: Abstract In this study, an interpretable machine learning algorithm is proposed for the issues of intelligent decision through predicting the firms’ efficiency of innovation. Based on the unbalanced panel data collected in Zhongguancun Science Parks… read more here.
Keywords: decision; intelligent decision; machine learning; interpretable machine ... See more keywords
Deep learning-level melanoma detection by interpretable machine learning and imaging biomarker cues
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Biomedical Optics"
DOI: 10.1117/1.jbo.25.11.112906
Abstract: Abstract. Significance: Melanoma is a deadly cancer that physicians struggle to diagnose early because they lack the knowledge to differentiate benign from malignant lesions. Deep machine learning approaches to image analysis offer promise but lack… read more here.
Keywords: imaging biomarker; machine; biomarker cues; interpretable machine ... See more keywords
Towards Interpretable Machine Learning in EEG Analysis
Sign Up to like & getrecommendations! Published in 2021 at "Studies in health technology and informatics"
DOI: 10.3233/shti210538
Abstract: In this paper a machine learning model for automatic detection of abnormalities in electroencephalography (EEG) is dissected into parts, so that the influence of each part on the classification accuracy score can be examined. The… read more here.
Keywords: towards interpretable; learning eeg; machine; model ... See more keywords
Interpretable machine learning to identify important predictors of birth weight: A prospective cohort study
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Pediatrics"
DOI: 10.3389/fped.2022.899954
Abstract: Background Predicting birth weight and identifying its risk factors are clinically important. This study aims to use interpretable machine learning to predict birth weight and identity important predictors. Methods This prospective cohort study was conducted… read more here.
Keywords: regression; important predictors; birth weight; interpretable machine ... See more keywords
Interpretable Machine Learning Techniques in ECG-Based Heart Disease Classification: A Systematic Review
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics13010111
Abstract: Heart disease is one of the leading causes of mortality throughout the world. Among the different heart diagnosis techniques, an electrocardiogram (ECG) is the least expensive non-invasive procedure. However, the following are challenges: the scarcity… read more here.
Keywords: machine; interpretable machine; machine learning; heart disease ... See more keywords