Tieming Liu
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View article: Pine Wilt Disease Monitoring Using Multimodal Remote Sensing Data and Feature Classification
Pine Wilt Disease Monitoring Using Multimodal Remote Sensing Data and Feature Classification Open
Pine wilt disease (PWD) is a significant global threat to pine trees, often referred to as the “cancer of pines.” It poses a severe risk to the ecological diversity and forest resources of pine forests, making effective monitoring and cont…
View article: Monitoring Water Quality Parameters Using Sentinel-2 Data: A Case Study in the Weihe River Basin (China)
Monitoring Water Quality Parameters Using Sentinel-2 Data: A Case Study in the Weihe River Basin (China) Open
Based on Sentinel-2 multispectral image data and existing research results, the comprehensive water quality index (CWQI), NH4+-N, and total phosphorus (TP) in the Weihe River and its tributaries were estimated. Furthermore, a verified mode…
View article: MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records Open
The era of big data has made vast amounts of clinical data readily available, particularly in the form of electronic health records (EHRs), which provides unprecedented opportunities for developing data-driven diagnostic tools to enhance c…
View article: FCNN: Simple neural networks for complex code tasks
FCNN: Simple neural networks for complex code tasks Open
Program analysis using deep learning has become a focus of research, and representing code as model input is a major challenge. While abstract syntax trees (ASTs) have proven effective, using them directly as model input introduces issues …
View article: Multi-Branching Temporal Convolutional Network With Tensor Data Completion for Diabetic Retinopathy Prediction
Multi-Branching Temporal Convolutional Network With Tensor Data Completion for Diabetic Retinopathy Prediction Open
Diabetic retinopathy (DR), a microvascular complication of diabetes, is the leading cause of vision loss among working-aged adults. However, due to the low compliance rate of DR screening and expensive medical devices for ophthalmic exams,…
View article: Estimating the prevalence of diabetic retinopathy in electronic health records with massive missing labels
Estimating the prevalence of diabetic retinopathy in electronic health records with massive missing labels Open
Missing labels is a common issue for EHR data quality. Ignoring these missing labels can lead to biased results in the analyses of EHR data. The problem is especially severe in the context of DR. It is thus important to use machine learnin…
View article: Pingxiao capsule inhibits lung metastasis of triple-negative breast cancer and sensitizes breast cancer to radiotherapy.
Pingxiao capsule inhibits lung metastasis of triple-negative breast cancer and sensitizes breast cancer to radiotherapy. Open
PXC could inhibit the proliferation and invasion of TNBC both and , and exerted its anti-metastatic effect by regulating cadherin turnover, Furthermore, it sensitized the TNBC cells to radiotherapy. The data supported further development o…
View article: Improvements to code2vec: Generating path vectors using RNN
Improvements to code2vec: Generating path vectors using RNN Open
Source code analysis has many application scenarios, such as code plagiarism detection and software vulnerability search. Source code analysis can benefit from machine learning, but it typically requires a standard vector representation an…
View article: Bayesian analysis for imbalanced positive-unlabelled diagnosis codes in electronic health records
Bayesian analysis for imbalanced positive-unlabelled diagnosis codes in electronic health records Open
With the increasing availability of electronic health records (EHR), significant progress has been made on developing predictive inference and algorithms by health data analysts and researchers. However, the EHR data are notoriously noisy …
View article: Multi-branching Temporal Convolutional Network with Tensor Data Completion for Diabetic Retinopathy Prediction
Multi-branching Temporal Convolutional Network with Tensor Data Completion for Diabetic Retinopathy Prediction Open
Diabetic retinopathy (DR), caused by damage to the blood vessels in the tissue of the retina, is a microvascular complication of diabetes. DR is the leading cause of vision loss among working-aged adults. However, due to the low compliance…
View article: Multi-branching Temporal Convolutional Network with Tensor Data Completion for Diabetic Retinopathy Prediction
Multi-branching Temporal Convolutional Network with Tensor Data Completion for Diabetic Retinopathy Prediction Open
Diabetic retinopathy (DR), caused by damage to the blood vessels in the tissue of the retina, is a microvascular complication of diabetes. DR is the leading cause of vision loss among working-aged adults. However, due to the low compliance…
View article: Metabolic crosstalk between skeletal muscle and liver through IRF4-FSTL1 in NASH
Metabolic crosstalk between skeletal muscle and liver through IRF4-FSTL1 in NASH Open
Inter-organ crosstalk has gained more and more attention recently. However, the mechanisms under this remain incompletely understood. Here, we revealed an endocrine pathway regulated by skeletal muscle IRF4 that manipulates liver pathology…
View article: Diabetic retinopathy prediction using Progressive Ablation Feature Selection: A comprehensive classifier evaluation
Diabetic retinopathy prediction using Progressive Ablation Feature Selection: A comprehensive classifier evaluation Open
Diabetic Retinopathy (DR) is the leading cause of blindness among adults in the U.S. Since DR is asymptomatic at the early stages, diabetic patients do not feel the uncomfortable ophthalmic exams necessary. However, existing DR diagnosis a…
View article: The EBS-A* algorithm: An improved A* algorithm for path planning
The EBS-A* algorithm: An improved A* algorithm for path planning Open
Path planning plays an essential role in mobile robot navigation, and the A* algorithm is one of the best-known path planning algorithms. However, the traditional A* algorithm has some limitations, such as slow planning speed, close to obs…
View article: Derivation and Validation of Essential Predictors and Risk Index for Early Detection of Diabetic Retinopathy Using Electronic Health Records
Derivation and Validation of Essential Predictors and Risk Index for Early Detection of Diabetic Retinopathy Using Electronic Health Records Open
Diabetic retinopathy (DR) is a leading cause for blindness among working-aged adults. The growing prevalence of diabetes urges for cost-effective tools to improve the compliance of eye examinations for early detection of DR. The objective …
View article: Probability Integral Method Parameter Determination by SBAS‐InSAR Technology and GWO Algorithm
Probability Integral Method Parameter Determination by SBAS‐InSAR Technology and GWO Algorithm Open
This paper proposed a method based on the SBAS‐InSAR and gray wolf optimization algorithm aiming at the time‐consuming and laborious defects of the traditional method used to obtain the expected parameters of the probability integral metho…
View article: Clinical decision support system to assess the risk of sepsis using Tree Augmented Bayesian networks and electronic medical record data
Clinical decision support system to assess the risk of sepsis using Tree Augmented Bayesian networks and electronic medical record data Open
Early and accurate diagnoses of sepsis enable practitioners to take timely preventive actions. The existing diagnostic criteria suffer from deficiencies, such as triggering false alarms or leaving conditions undiagnosed. This study aims to…
View article: Impacts of Freight Consolidation and Truck Sharing on Freight Mobility
Impacts of Freight Consolidation and Truck Sharing on Freight Mobility Open
Corresponding data set for Tran-SET Project No. 17ITSOKS02. Abstract of the final report is stated below for reference: "The trucking industry is an important sector of the U.S. economy. However, it is quite fragmented, hindering the effic…
View article: Impacts of Freight Consolidation and Truck Sharing on Freight Mobility
Impacts of Freight Consolidation and Truck Sharing on Freight Mobility Open
Corresponding data set for Tran-SET Project No. 17ITSOKS02. Abstract of the final report is stated below for reference: "The trucking industry is an important sector of the U.S. economy. However, it is quite fragmented, hindering the effic…
View article: Impacts of Freight Consolidation and Truck Sharing on Freight Mobility
Impacts of Freight Consolidation and Truck Sharing on Freight Mobility Open
Corresponding data set for Tran-SET Project No. 17ITSOKS02. Abstract of the final report is stated below for reference: "The trucking industry is an important sector of the U.S. economy. However, it is quite fragmented, hindering the effic…
View article: Security-enhanced three-factor remote user authentication scheme based on Chebyshev chaotic maps
Security-enhanced three-factor remote user authentication scheme based on Chebyshev chaotic maps Open
With the wide deployment of new computing paradigms, such as cloud computing and edge computing, the people can access services provided by remote servers more conveniently via the Internet. To preserve the security of those messages trans…
View article: Freight Consolidation Problem with Time Windows, Pickup and Delivery Sequence
Freight Consolidation Problem with Time Windows, Pickup and Delivery Sequence Open
The number of online market places for freight matching is on the rise. Online market places help small trucking companies find shipping customers. However, they do not provide cargo consolidation strategies. This lack of effective consoli…
View article: Correction: Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA
Correction: Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA Open
[This corrects the article on p. 139 in vol. 24, PMID: 29770247.].
View article: Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA
Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA Open
The evidences suggest that qSOFA is a better diagnostic criteria than SIRS. The low sensitivity of qSOFA can be improved by carefully selecting the threshold to translate the predicted probabilities into labels. These findings can guide he…
View article: The Interactive Mechanism of Static and Dynamic Analysis in the Reverse Analysis of Embedded Software
The Interactive Mechanism of Static and Dynamic Analysis in the Reverse Analysis of Embedded Software Open
Because the software reverse analysis method which combined the dynamic and static analyses lacks normative interactive mode, the work of the software reverse analysis is inefficient, and its reusability is poor.Based on dynamic and static…