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Article ; Online: Treatment analysis of recurrent respiratory infections in pediatrics.

Liu, Shaohui / Zhou, Qingwen / Yu, Zhongcui

2024

Language	English
Publishing date	2024-05-16
Publishing country	Italy
Document type	Journal Article
ZDB-ID	123586-2
ISSN	1827-1669 ; 0026-4806
ISSN (online)	1827-1669
ISSN	0026-4806
DOI	10.23736/S0026-4806.24.09296-6
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Urban public health spatial planning using big data technology and visual communication in IoT.

Qu, Meiting / Liu, Shaohui / Li, Lei

Mathematical biosciences and engineering : MBE

2023 Volume 20, Issue 5, Page(s) 8583–8600

Abstract: The planning of urban public health spatial can not only help people's physical and mental health but also help to optimize and protect the urban environment. It is of great significance to study the planning methods of urban public health spatial. The ... ...

Abstract	The planning of urban public health spatial can not only help people's physical and mental health but also help to optimize and protect the urban environment. It is of great significance to study the planning methods of urban public health spatial. The application effect of traditional urban public health spatial planning is poor, in this paper, urban public health spatial planning using big data technology and visual communication in the Internet of Things (IoT) is proposed. First, the urban public health spatial planning architecture is established in IoT, which is divided into the perception layer, the network layer and the application layer; Second, information collection is performed at the perception layer, and big data technology is used at the network layer to simplify spatial model information, automatically sort out spatial data, and establish a public health space evaluation system according to the type and characteristics of spatial data; Finally, the urban public health space is planned based on the health assessment results and the visual communication design concept through the application layer. The results show that when the number of regions reaches 60,000, the maximum time of region merging is 7.86s. The percentage of spatial fitting error is 0.17. The height error of spatial model is 0.31m. The average deviation error of the spatial coordinates is 0.23, which can realize the health planning of different public spaces.
MeSH term(s)	United States ; Humans ; Big Data ; Internet of Things ; Public Health ; Technology ; Communication
Language	English
Publishing date	2023-05-09
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2265126-3
ISSN	1551-0018 ; 1551-0018
ISSN (online)	1551-0018
ISSN	1551-0018
DOI	10.3934/mbe.2023377
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Article ; Online: Depth-Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo.

Wei, Yi / Liu, Shaohui / Zhou, Jie / Lu, Jiwen

IEEE transactions on pattern analysis and machine intelligence

2023 Volume 45, Issue 9, Page(s) 10835–10849

Abstract: In this work, we present a new multi-view depth estimation method NerfingMVS that utilizes both conventional reconstruction and learning-based priors over the recently proposed neural radiance fields (NeRF). Unlike existing neural network based ... ...

Abstract	In this work, we present a new multi-view depth estimation method NerfingMVS that utilizes both conventional reconstruction and learning-based priors over the recently proposed neural radiance fields (NeRF). Unlike existing neural network based optimization method that relies on estimated correspondences, our method directly optimizes over implicit volumes, eliminating the challenging step of matching pixels in indoor scenes. The key to our approach is to utilize the learning-based priors to guide the optimization process of NeRF. Our system first adapts a monocular depth network over the target scene by finetuning on its MVS reconstruction from COLMAP. Then, we show that the shape-radiance ambiguity of NeRF still exists in indoor environments and propose to address the issue by employing the adapted depth priors to monitor the sampling process of volume rendering. Finally, a per-pixel confidence map acquired by error computation on the rendered image can be used to further improve the depth quality. We further present NerfingMVS++, where a coarse-to-fine depth priors training strategy is proposed to directly utilize sparse SfM points and the uniform sampling is replaced by Gaussian sampling to boost the performance. Experiments show that our NerfingMVS and its extension NerfingMVS++ achieve state-of-the-art performances on indoor datasets ScanNet and NYU Depth V2. In addition, we show that the guided optimization scheme does not sacrifice the original synthesis capability of neural radiance fields, improving the rendering quality on both seen and novel views. Code is available at https://github.com/weiyithu/NerfingMVS.
Language	English
Publishing date	2023-08-07
Publishing country	United States
Document type	Journal Article
ISSN	1939-3539
ISSN (online)	1939-3539
DOI	10.1109/TPAMI.2023.3263464
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Book ; Online: Depth-agnostic Single Image Dehazing

Xu, Honglei / Shu, Yan / Liu, Shaohui

2024

Abstract: Single image dehazing is a challenging ill-posed problem. Existing datasets for training deep learning-based methods can be generated by hand-crafted or synthetic schemes. However, the former often suffers from small scales, while the latter forces ... ...

Abstract	Single image dehazing is a challenging ill-posed problem. Existing datasets for training deep learning-based methods can be generated by hand-crafted or synthetic schemes. However, the former often suffers from small scales, while the latter forces models to learn scene depth instead of haze distribution, decreasing their dehazing ability. To overcome the problem, we propose a simple yet novel synthetic method to decouple the relationship between haze density and scene depth, by which a depth-agnostic dataset (DA-HAZE) is generated. Meanwhile, a Global Shuffle Strategy (GSS) is proposed for generating differently scaled datasets, thereby enhancing the generalization ability of the model. Extensive experiments indicate that models trained on DA-HAZE achieve significant improvements on real-world benchmarks, with less discrepancy between SOTS and DA-SOTS (the test set of DA-HAZE). Additionally, Depth-agnostic dehazing is a more complicated task because of the lack of depth prior. Therefore, an efficient architecture with stronger feature modeling ability and fewer computational costs is necessary. We revisit the U-Net-based architectures for dehazing, in which dedicatedly designed blocks are incorporated. However, the performances of blocks are constrained by limited feature fusion methods. To this end, we propose a Convolutional Skip Connection (CSC) module, allowing vanilla feature fusion methods to achieve promising results with minimal costs. Extensive experimental results demonstrate that current state-of-the-art methods. equipped with CSC can achieve better performance and reasonable computational expense, whether the haze distribution is relevant to the scene depth.
Keywords	Computer Science - Computer Vision and Pattern Recognition
Subject code	004
Publishing date	2024-01-14
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Death attitudes and associated factors among health professional students in China.

Han, Huiwu / Ye, Ying / Zhuo, Hongxia / Liu, Shaohui / Zheng, Fan

Frontiers in public health

2023 Volume 11, Page(s) 1174325

Abstract: Background: China is entering an era of aging population with an increased mortality rate among this category of population. Health professional students' attitudes toward death directly affect their quality of palliative care in their future careers. ... ...

Abstract	Background: China is entering an era of aging population with an increased mortality rate among this category of population. Health professional students' attitudes toward death directly affect their quality of palliative care in their future careers. It is thus important to understand their death attitudes and associated factors to guide future educational and training development. Objectives: This study aimed to investigate death attitudes and analyze the associated factors among health professional students in China. Methods: In this cross-sectional study, 1,044 health professional students were recruited from 14 medical colleges and universities. The Chinese version of the Death Attitude Profile-Revised (DAP-R) was used to evaluate their death attitudes. A multiple linear regression model was used to analyze the influencing factors of attitudes toward death. Results: Health professional students tended to accept death more neutrally. Multivariate analysis showed that their negative death attitudes were associated with age (β = -0.31, Conclusion: Our study stresses the importance of including death and palliative care education in healthcare courses among health professional students in China. Incorporation of ACP education along with experiences of funeral/memorial services may help promote health professional students' positive attitudes toward death and improve the quality of palliative care in their future careers.
MeSH term(s)	Humans ; Aged ; Cross-Sectional Studies ; Health Promotion ; Students ; Educational Status ; China
Language	English
Publishing date	2023-05-25
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2023.1174325
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: The unsupervised machine learning to analyze the use strategy of statins for ischaemic stroke patients with elevated transaminase.

Cui, Chaohua / Li, Yuchuan / Liu, Shaohui / Wang, Ping / Huang, Zhonghua

Clinical neurology and neurosurgery

2023 Volume 232, Page(s) 107900

Abstract: Background and purpose: Statins could elevate hepatic transaminase in ischemic stroke patients. There needed to be more evidence on which method stopped statins or adjusting the dose of statins was better for patients. And no evidence showed which way ... ...

Abstract	Background and purpose: Statins could elevate hepatic transaminase in ischemic stroke patients. There needed to be more evidence on which method stopped statins or adjusting the dose of statins was better for patients. And no evidence showed which way more suit for some patients. Methods: We collected ischaemic stroke patients with elevated hepatic transaminase when they take statins. The outcome was a recurrent stroke rate, transaminase value after stopping or adjusted, mortality, and favorable functional outcome (FFO). We compare outcome events between the stopped group and the adjustment group. We grouped all patients by unsupervised machine learning and analyzed data characters by the different groups. Results: The patients stopping statins had a higher stroke recurrence and rate of FFO (mRS 0-2), a lower mean value of transaminase, and mortality. By difference unsupervised machine learning group, the km2 group had the lowest stroke recurrence (p = 0.046), lowest mortality (p = 0.049), and highest FFO (p = 0.023). The patients of the km2 group were younger (p < 0.001), more male (p < 0.001), had lesser National Institutes of Health Stroke Scale (NIHSS) scores (p < 0.001), and had slightly higher values of blood pressure (p = 0.002). The group of unsupervised machine learning could improve models' performance. Conclusion: For ischemic patients with elevated hepatic transaminase, stopping statins temporarily was a better choice of treatment strategy. These patients who were younger, male, with a lesser NIHSS score at admission and a slightly higher blood lipid value at admission, could have had a better prognosis.
MeSH term(s)	Humans ; Male ; Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use ; Stroke ; Brain Ischemia ; Treatment Outcome ; Unsupervised Machine Learning ; Ischemic Stroke/drug therapy ; Transaminases/therapeutic use
Chemical Substances	Hydroxymethylglutaryl-CoA Reductase Inhibitors ; Transaminases (EC 2.6.1.-)
Language	English
Publishing date	2023-07-17
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	193107-6
ISSN	1872-6968 ; 0303-8467
ISSN (online)	1872-6968
ISSN	0303-8467
DOI	10.1016/j.clineuro.2023.107900
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Article ; Online: Belantamab mafodotin associated corneal microcyst-like epithelial changes.

Chuang, Katherine / Pineda, Roberto / Liu, Shaohui

American journal of ophthalmology case reports

2022 Volume 25, Page(s) 101392

Abstract: Purpose: To report a case of bilateral corneal microcyst-like epithelial changes associated with belantamab mafodotin (belamaf) therapy.: Observations: A 70-year-old man with refractory multiple myeloma was placed on belamaf, a recently FDA-approved ... ...

Abstract	Purpose: To report a case of bilateral corneal microcyst-like epithelial changes associated with belantamab mafodotin (belamaf) therapy. Observations: A 70-year-old man with refractory multiple myeloma was placed on belamaf, a recently FDA-approved treatment for relapsed or refractory multiple myeloma. He developed decreased visual acuity and bilateral corneal microcyst-like peripheral epithelial changes. Belamaf was withheld.Anterior segment OCT showed intra-epithelial opacities at various depths. After resolution of corneal changes and recovery of vision, belamaf was restarted. The patient underwent two additional treatments, each time with recurrence of diffuse microcyst-like corneal epithelial changes. It took a total of 8, 11.5 and 17 weeks after each respective infusion for the microcyst-like epithelial changes to resolve. This suggested a longer recovery time after each subsequent infusion. Conclusions and importance: The care for patients on belamaf requires the collaboration of eye care providers and hematologists-oncologists to assess for ocular adverse effects and adjust treatment as necessary. Further study is needed to illustrate the mechanism of corneal microcyst-like epithelial changes and its effects on limbal stem cells.
Language	English
Publishing date	2022-02-02
Publishing country	United States
Document type	Journal Article
ISSN	2451-9936
ISSN (online)	2451-9936
DOI	10.1016/j.ajoc.2022.101392
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Online: How can Deep Learning Retrieve the Write-Missing Additional Diagnosis from Chinese Electronic Medical Record For DRG

Liu, Shaohui / Liu, Xien / Wu, Ji

2023

Abstract: The purpose of write-missing diagnosis detection is to find diseases that have been clearly diagnosed from medical records but are missed in the discharge diagnosis. Unlike the definition of missed diagnosis, the write-missing diagnosis is clearly ... ...

Abstract	The purpose of write-missing diagnosis detection is to find diseases that have been clearly diagnosed from medical records but are missed in the discharge diagnosis. Unlike the definition of missed diagnosis, the write-missing diagnosis is clearly manifested in the medical record without further reasoning. The write-missing diagnosis is a common problem, often caused by physician negligence. The write-missing diagnosis will result in an incomplete diagnosis of medical records. While under DRG grouping, the write-missing diagnoses will miss important additional diagnoses (CC, MCC), thus affecting the correct rate of DRG enrollment. Under the circumstance that countries generally start to adopt DRG enrollment and payment, the problem of write-missing diagnosis is a common and serious problem. The current manual-based method is expensive due to the complex content of the full medical record. We think this problem is suitable to be solved as natural language processing. But to the best of our knowledge, no researchers have conducted research on this problem based on natural language processing methods. We propose a framework for solving the problem of write-missing diagnosis, which mainly includes three modules: disease recall module, disease context logic judgment module, and disease relationship comparison module. Through this framework, we verify that the problem of write-missing diagnosis can be solved well, and the results are interpretable. At the same time, we propose advanced solutions for the disease context logic judgment module and disease relationship comparison module, which have obvious advantages compared with the mainstream methods of the same type of problems. Finally, we verified the value of our proposed framework under DRG medical insurance payment in a tertiary hospital.
Keywords	Computer Science - Computation and Language ; Computer Science - Artificial Intelligence
Subject code	006
Publishing date	2023-03-28
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Data-driven Forced Oscillation Localization using Inferred Impulse Responses

Liu, Shaohui / Zhu, Hao / Kekatos, Vassilis

2023

Abstract: Poorly damped oscillations pose threats to the stability and reliability of interconnected power systems. In this work, we propose a comprehensive data-driven framework for inferring the sources of forced oscillation (FO) using only synchrophasor ... ...

Abstract	Poorly damped oscillations pose threats to the stability and reliability of interconnected power systems. In this work, we propose a comprehensive data-driven framework for inferring the sources of forced oscillation (FO) using only synchrophasor measurements. During normal grid operations, fast-rate ambient data are collected to recover the impulse responses in the small-signal regime, without requiring the system models. When FO events occur, the source is estimated based on the frequency domain analysis by fitting the least-squares (LS) error for the FO data using the impulse responses recovered previously. Although the proposed framework is purely data-driven, the result has been established theoretically via model-based analysis of linearized dynamics under a few realistic assumptions. Numerical validations demonstrate its applicability to realistic power systems including nonlinear, higher-order dynamics with control effects using the IEEE 68-bus system. The generalizability of the proposed methodology has been validated using different types of measurements and partial sensor coverage conditions.
Keywords	Electrical Engineering and Systems Science - Systems and Control ; Electrical Engineering and Systems Science - Signal Processing
Subject code	600
Publishing date	2023-10-02
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Read Pointer Meters in complex environments based on a Human-like Alignment and Recognition Algorithm

Shu, Yan / Liu, Shaohui / Xu, Honglei / Jiang, Feng

2023

Abstract: Recently, developing an automatic reading system for analog measuring instruments has gained increased attention, as it enables the collection of numerous state of equipment. Nonetheless, two major obstacles still obstruct its deployment to real-world ... ...

Abstract	Recently, developing an automatic reading system for analog measuring instruments has gained increased attention, as it enables the collection of numerous state of equipment. Nonetheless, two major obstacles still obstruct its deployment to real-world applications. The first issue is that they rarely take the entire pipeline's speed into account. The second is that they are incapable of dealing with some low-quality images (i.e., meter breakage, blur, and uneven scale). In this paper, we propose a human-like alignment and recognition algorithm to overcome these problems. More specifically, a Spatial Transformed Module(STM) is proposed to obtain the front view of images in a self-autonomous way based on an improved Spatial Transformer Networks(STN). Meanwhile, a Value Acquisition Module(VAM) is proposed to infer accurate meter values by an end-to-end trained framework. In contrast to previous research, our model aligns and recognizes meters totally implemented by learnable processing, which mimics human's behaviours and thus achieves higher performances. Extensive results verify the good robustness of the proposed model in terms of the accuracy and efficiency.
Keywords	Computer Science - Computer Vision and Pattern Recognition
Subject code	006
Publishing date	2023-02-28
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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