Matches in SemOpenAlex for { <https://semopenalex.org/work/W3089305416> ?p ?o ?g. }
- W3089305416 endingPage "2002021" @default.
- W3089305416 startingPage "2002021" @default.
- W3089305416 abstract "Stroke is a leading cause of mortality and disability worldwide, expected to result in 61 million disability-adjusted life-years in 2020. Rapid diagnostics is the core of stroke management for early prevention and medical treatment. Serum metabolic fingerprints (SMFs) reflect underlying disease progression, predictive of patient phenotypes. Deep learning (DL) encoding SMFs with clinical indexes outperforms single biomarkers, while posing challenges with poor prediction to interpret by feature selection. Herein, rapid computer-aided diagnosis of stroke is performed using SMF based multi-modal recognition by DL, to combine adaptive machine learning with a novel feature selection approach. SMFs are extracted by nano-assisted laser desorption/ionization mass spectrometry (LDI MS), consuming 100 nL of serum in seconds. A multi-modal recognition is constructed by integrating SMFs and clinical indexes with an enhanced area under curve (AUC) up to 0.845 for stroke screening, compared to single-modal diagnosis by only SMFs or clinical indexes. The prediction of DL is addressed by selecting 20 key metabolite features with differential regulation through a saliency map approach, shedding light on the molecular mechanisms in stroke. The approach highlights the emerging role of DL in precision medicine and suggests an expanding utility for computational analysis of SMFs in stroke screening." @default.
- W3089305416 created "2020-10-01" @default.
- W3089305416 creator A5011405813 @default.
- W3089305416 creator A5023325607 @default.
- W3089305416 creator A5025163492 @default.
- W3089305416 creator A5030817316 @default.
- W3089305416 creator A5033621287 @default.
- W3089305416 creator A5042017596 @default.
- W3089305416 creator A5063039929 @default.
- W3089305416 creator A5068141885 @default.
- W3089305416 creator A5085347842 @default.
- W3089305416 date "2020-09-23" @default.
- W3089305416 modified "2023-10-17" @default.
- W3089305416 title "Rapid Computer‐Aided Diagnosis of Stroke by Serum Metabolic Fingerprint Based Multi‐Modal Recognition" @default.
- W3089305416 cites W1575982426 @default.
- W3089305416 cites W1933039715 @default.
- W3089305416 cites W1968430975 @default.
- W3089305416 cites W1973217971 @default.
- W3089305416 cites W2042266934 @default.
- W3089305416 cites W2070830418 @default.
- W3089305416 cites W2085406976 @default.
- W3089305416 cites W2094353482 @default.
- W3089305416 cites W2153251261 @default.
- W3089305416 cites W2154884142 @default.
- W3089305416 cites W2204774351 @default.
- W3089305416 cites W2210783974 @default.
- W3089305416 cites W2270896127 @default.
- W3089305416 cites W2272741817 @default.
- W3089305416 cites W2285001450 @default.
- W3089305416 cites W2345381093 @default.
- W3089305416 cites W2488953036 @default.
- W3089305416 cites W2551824955 @default.
- W3089305416 cites W2560136348 @default.
- W3089305416 cites W2580778720 @default.
- W3089305416 cites W2580792129 @default.
- W3089305416 cites W2586113957 @default.
- W3089305416 cites W2593619230 @default.
- W3089305416 cites W2603933399 @default.
- W3089305416 cites W2607476724 @default.
- W3089305416 cites W2742636136 @default.
- W3089305416 cites W2752747624 @default.
- W3089305416 cites W2755256813 @default.
- W3089305416 cites W2760946358 @default.
- W3089305416 cites W2761668583 @default.
- W3089305416 cites W2766408578 @default.
- W3089305416 cites W2770188460 @default.
- W3089305416 cites W2783423269 @default.
- W3089305416 cites W2784059657 @default.
- W3089305416 cites W2788633781 @default.
- W3089305416 cites W2789990099 @default.
- W3089305416 cites W2792874817 @default.
- W3089305416 cites W2793091350 @default.
- W3089305416 cites W2800703974 @default.
- W3089305416 cites W2804805392 @default.
- W3089305416 cites W2886281300 @default.
- W3089305416 cites W2889625434 @default.
- W3089305416 cites W2889665241 @default.
- W3089305416 cites W2894655723 @default.
- W3089305416 cites W2898230972 @default.
- W3089305416 cites W2898477488 @default.
- W3089305416 cites W2901209811 @default.
- W3089305416 cites W2904070633 @default.
- W3089305416 cites W2905810301 @default.
- W3089305416 cites W2906480617 @default.
- W3089305416 cites W2913229152 @default.
- W3089305416 cites W2916927704 @default.
- W3089305416 cites W2919115771 @default.
- W3089305416 cites W2921808728 @default.
- W3089305416 cites W2931413826 @default.
- W3089305416 cites W2946901414 @default.
- W3089305416 cites W2947189704 @default.
- W3089305416 cites W2947862269 @default.
- W3089305416 cites W2949004447 @default.
- W3089305416 cites W2951891306 @default.
- W3089305416 cites W2954669699 @default.
- W3089305416 cites W2967786662 @default.
- W3089305416 cites W2970385187 @default.
- W3089305416 cites W2973243664 @default.
- W3089305416 cites W2976008625 @default.
- W3089305416 cites W2978924796 @default.
- W3089305416 cites W2982548291 @default.
- W3089305416 cites W2991885443 @default.
- W3089305416 cites W2995557889 @default.
- W3089305416 cites W2996108924 @default.
- W3089305416 cites W2997207862 @default.
- W3089305416 cites W2998438489 @default.
- W3089305416 cites W3003204739 @default.
- W3089305416 cites W3003517652 @default.
- W3089305416 cites W3005638468 @default.
- W3089305416 cites W3009682272 @default.
- W3089305416 cites W3010910782 @default.
- W3089305416 cites W3013445210 @default.
- W3089305416 cites W3015172528 @default.
- W3089305416 cites W3020203429 @default.
- W3089305416 cites W3026601212 @default.
- W3089305416 cites W3028711203 @default.
- W3089305416 cites W3032670639 @default.
- W3089305416 cites W3037755943 @default.