Prediction and detection of terminal diseases using Internet of Medical Things: A review

Computers in Biology and Medicine, Год журнала: 2025, Номер 188, С. 109835 - 109835

Опубликована: Фев. 24, 2025

Язык: Английский

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Deep Learning-Based Chest CT Image Features in Diagnosis of Lung Cancer

Computational and Mathematical Methods in Medicine, Год журнала: 2022, Номер 2022, С. 1 - 7

Опубликована: Янв. 19, 2022

This study was to evaluate the diagnostic value of deep learning-optimized chest CT in patients with lung cancer. 90 who were diagnosed cancer by surgery or puncture hospital selected as research subjects. The Mask Region Convolutional Neural Network (Mask-RCNN) model a typical end-to-end image segmentation model, and Dual Path (DPN) used nodule detection. results showed that accuracy DPN algorithm detecting lesions 88.74%, diagnosis 88.37%, sensitivity 82.91%, specificity 87.43%. Deep learning-based examination combined serum tumor detection, factoring into Neurospecific enolase (N S E), cytokeratin 19 fragment (CYFRA21), Carcinoembryonic antigen (CEA), squamous cell carcinoma (SCC) antigen, improved 97.94%, 98.12%, 100%, all showing significant differences ( $P<0.05$ ). In conclusion, this provides scientific basis for improving efficiency imaging theoretical support subsequent treatment.

Язык: Английский

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An Innovative decision-making scheme for the high-quality economy development driven by higher education

Journal of Innovation & Knowledge, Год журнала: 2023, Номер 8(2), С. 100345 - 100345

Опубликована: Фев. 24, 2023

It is essential to adhere innovative leadership and teach students in accordance with their aptitude through the sustainable development of higher education. Promoting high-quality local universities demanded needed for adaptive talent this new era. This work aims explore how education can provide decision-making solutions economic digital economy (DE) First, role analysed. Then, importance human capital cultivated by explained. The innovations are as follows. (1) A index system Yangtze River Basin established according requirements quality change, dynamic efficiency change Economic Zone (YREZ). (2) entropy weight method intelligent TOPSIS sorting technology used study relationship between DE premium-quality advance provinces cities YREZ from 2015 2021. (3) analysis part adopts three indicators mean logarithmic deviation, Theil index, Gini coefficient discuss regional differences development. Finally, a targeted strategy proposed. results indicate that level each province recent years has reached maximum 3.9309 minimum 0.2844. relatively different, uneven. overall Moran's I greater than 0, passing significance test. result suggests positive spatial autocorrelation them. research provides data support formulation strategies future reflects key training

Язык: Английский

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Wearable Sensors for Vital Signs Measurement: A Survey

Journal of Sensor and Actuator Networks, Год журнала: 2022, Номер 11(1), С. 19 - 19

Опубликована: Март 11, 2022

With the outbreak of coronavirus disease-2019 (COVID-19) worldwide, developments in medical field have aroused concerns within society. As science and technology develop, wearable sensors become main means data acquisition. To analyze intelligent development status sensors, current work classifies prospects application functions wireless communication based on human physiological acquisition field. By understanding its working principles, modes action modes, chiefly analyzes vascular infarction, respiratory intensity, body temperature, blood oxygen concentration, sleep detection, reflects key role Further exploration prospecting are made by investigating improvement information security performance biological adaptability biodegradability new materials, integration intelligence-assisted rehabilitation. The research expects to provide a reference for real-time monitoring health follow-up

Язык: Английский

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MedGAN: An adaptive GAN approach for medical image generation

Computers in Biology and Medicine, Год журнала: 2023, Номер 163, С. 107119 - 107119

Опубликована: Июнь 13, 2023

Язык: Английский

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Deep Learning-Empowered Clinical Big Data Analytics in Healthcare Digital Twins

IEEE/ACM Transactions on Computational Biology and Bioinformatics, Год журнала: 2023, Номер 21(4), С. 660 - 669

Опубликована: Март 6, 2023

With the rapid development of information technology, great changes have taken place in way managing, analyzing, and using data all walks life. Using deep learning algorithm for analysis field medicine can improve accuracy disease recognition. The purpose is to realize intelligent medical service mode sharing resources among many people under dilemma limited resources. Firstly, Digital Twins module Deep Learning used establish care auxiliary diagnosis model. help digital visualization model Internet Things collected at client server. Based on improved Random Forest algorithm, demand target function design health system are carried out. analysis, designed algorithm. results show that platform collect analyze clinical trial patients. ReliefF & Wrapper (RW-RF) sepsis recognition reach about 98%, also more than 80%, which provide better technical support services. It provides a solution experimental reference practical problem scarce

Язык: Английский

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Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14

Computer Methods and Programs in Biomedicine, Год журнала: 2024, Номер 259, С. 108518 - 108518

Опубликована: Ноя. 25, 2024

Язык: Английский

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Analysis of the value of folk music intangible cultural heritage on the regulation of mental health

Frontiers in Psychiatry, Год журнала: 2023, Номер 14

Опубликована: Март 29, 2023

This paper proposes an approach based on the safeguarding of intangible cultural heritage (ICH) by studying value ICH to explore folk music mental health and its measures. Additionally, a questionnaire survey is conducted among college students. The Tibetan Guozhuang dance in are taken as object. students' awareness, participation, effects physical health, emotional regulation, stress regulation investigated, study music. results reveal that process participating art dance, 41.8% students consider it very useful for relief, 46.31% believe useful. 36.95% feel development 49.75% think indicates total 86.7% helpful health. And most happy mood when dance. Among them, 71.7% say they elated, 66.98% excited. It illustrates young group, fond art, but lack cognitive approach. Finally, suggestions implementation paths put forward view existing problems research can provide reference

Язык: Английский

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Interpretable Deep Learning Framework for COVID-19 Detection: Grad-CAM Integration with Pre-trained CNN Models on Chest X-Ray Images

International Journal of Scientific Research in Science Engineering and Technology, Год журнала: 2025, Номер 12(1), С. 153 - 163

Опубликована: Янв. 31, 2025

This study is present a novel approach for interpretability enhancing of the deep learning models (EfficientNet, ResNet, VGG) that applied to COVID-19 diagnosis by using Gradient-Weighted Class Activation Mapping (Grad-CAM) all make transparent decision-making improved. To do this we leveraging capabilities Grad-CAM, and aim provide not only accurate diagnostic predictions but also give visual explanations, support professionals in healthcare understanding underlying features aided model’s decisions. important building trust AI systems, especially medical areas critical such. essential such as diagnosis, allowing understand rationale behind AI-generated recommendations In context COVID-19, techniques like can insights into which imaging data contribute most significantly predictions, reliability transparency system. capability aids clinicians AI-driven diagnoses it fosters greater automated high-stakes scenarios healthcare. It crucial ensuring informed decisions based on AI’s outputs. As pandemic demonstrated, timely an effective patient management.

Язык: Английский

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Design of a Scoring System for National Fitness Volunteer Services Under Deep Learning

Procedia Computer Science, Год журнала: 2025, Номер 252, С. 653 - 664

Опубликована: Янв. 1, 2025

Язык: Английский

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