Nanostructured Metal Oxide-Based Electrochemical Biosensors in Medical Diagnosis [PDF]
BiosensorsNanostructured metal oxides (NMOs) provide electrical properties such as high surface-to-volume ratio, reaction activity, and good adsorption strength. Furthermore, they serve as a conductive substrate for the immobilization of biomolecules, exhibiting ...
Gulsu Keles +4 more
doaj +2 more sources
Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network [PDF]
, 2018 Automatically extracting useful information from electronic medical records along with conducting disease diagnoses is a promising task for both clinical decision support(CDS) and neural language processing(NLP). Most of the existing systems are based on artificially constructed knowledge bases, and then auxiliary diagnosis is done by rule matching. In
Huang, Yongfeng +5 more
arxiv +3 more sources
CRISPR-Based Biosensors for Medical Diagnosis: Readout from Detector-Dependence Detection Toward Naked Eye Detection [PDF]
BiosensorsThe detection of biomarkers (such as DNA, RNA, and protein) plays a vital role in medical diagnosis. The CRISPR-based biosensors utilize the CRISPR/Cas system for biometric recognition of targets and use biosensor strategy to read out biological signals ...
Kai Hu +6 more
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Mathematics, 2020 As the extension of the fuzzy sets (FSs) theory, the intuitionistic fuzzy sets (IFSs) play an important role in handling the uncertainty under the uncertain environments.
Qianli Zhou, Hongming Mo, Yong Deng
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Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis. [PDF]
Nat Commun, 2023 Zhao H +11 more
europepmc +2 more sources
A survey on the interpretability of deep learning in medical diagnosis. [PDF]
Multimed Syst, 2022 Teng Q, Liu Z, Song Y, Han K, Lu Y.
europepmc +2 more sources
A Novel Interval Three-Way Concept Lattice Model with Its Application in Medical Diagnosis
Mathematics, 2019 Medical diagnosis has been recognized as one of the key processes in clinical medicine, which determines diseases from some given symptoms. Nonetheless, previous works about medical diagnosis have some drawbacks because medical data are usually fuzzy ...
Junhua Hu, Dan Chen, Pei Liang
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Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future [PDF]
Italian National Conference on Sensors, 2021 With the advances of data-driven machine learning research, a wide variety of prediction problems have been tackled. It has become critical to explore how machine learning and specifically deep learning methods can be exploited to analyse healthcare data.
David Ahmedt-Aristizabal +4 more
semanticscholar +1 more source
Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images
IEEE Access, 2021 Deep Learning-based Smart Healthcare is getting so much attention due to real-time applicability in everyone life’s, and It has obtained more attention with the convergence of IoT.
Amit Kumar Jaiswal +5 more
doaj +1 more source
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis [PDF]
AAAI Conference on Artificial Intelligence, 2021 Recent advances in unsupervised domain adaptation (UDA) show that transferable prototypical learning presents a powerful means for class conditional alignment, which encourages the closeness of cross-domain class centroids.
Xiaofeng Liu +9 more
semanticscholar +1 more source