Pathologist Validation of a Machine Learning–Derived Feature for Colon Cancer Risk Stratification
Sign Up to like & getrecommendations! Published in 2023 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.54891
Abstract: Key Points Question Can a prognostic machine learning–derived histopathologic feature be learned and validated by pathologists? Findings In this prognostic study, 2 pathologists were able to learn a machine learning–derived histopathologic feature and validate its… read more here.
Keywords: colon cancer; machine learning; feature; learning derived ... See more keywords
A Machine‐Learning Derived Huntington's Disease Progression Model: Insights for Clinical Trial Design
Sign Up to like & getrecommendations! Published in 2021 at "Movement Disorders"
DOI: 10.1002/mds.28866
Abstract: Applying machine‐learning algorithms to large datasets such as those available in Huntington's disease offers the opportunity to discover hidden patterns, often not discernible to clinical observation. read more here.
Keywords: machine learning; huntington disease; derived huntington; learning derived ... See more keywords
Transferable and Extensible Machine Learning-Derived Atomic Charges for Modeling Hybrid Nanoporous Materials
Sign Up to like & getrecommendations! Published in 2020 at "Chemistry of Materials"
DOI: 10.1021/acs.chemmater.0c02468
Abstract: Nanoporous materials have attracted significant interest as an emerging platform for adsorption-related applications. The high-throughput computational screening became a standard technique to acce... read more here.
Keywords: machine learning; materials transferable; nanoporous materials; extensible machine ... See more keywords
Improving machine learning-derived photometric redshifts and physical property estimates using unlabelled observations
Sign Up to like & getrecommendations! Published in 2022 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stac3596
Abstract: In the era of huge astronomical surveys, machine learning offers promising solutions for the efficient estimation of galaxy properties. The traditional, ‘supervised’ paradigm for the application of machine learning involves training a model on labelled… read more here.
Keywords: photometric redshifts; machine; machine learning; derived photometric ... See more keywords
Real-World Testing of a Machine Learning–Derived Visual Scale for Tc99m TRODAT-1 for Diagnosing Lewy Body Disease: Comparison with a Traditional Approach Using Semiquantification
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm12091369
Abstract: Objectives: Abnormal dopamine transporter (DAT) uptake is an important biomarker for diagnosing Lewy body disease (LBD), including Parkinson’s disease (PD) and dementia with Lewy bodies (DLB). We evaluated a machine learning-derived visual scale (ML-VS) for… read more here.
Keywords: disease; machine learning; body disease; lewy body ... See more keywords