0000000000711304

AUTHOR

Lai Wei

showing 4 related works from this author

qFIBS: A Novel Automated Technique for Quantitative Evaluation of Fibrosis, Inflammation, Ballooning, and Steatosis in Patients With Nonalcoholic Ste…

2020

[Background and Aims] Nonalcoholic steatohepatitis (NASH) is a common cause of chronic liver disease. Clinical trials use the NASH Clinical Research Network (CRN) system for semiquantitative histological assessment of disease severity. Interobserver variability may hamper histological assessment, and diagnostic consensus is not always achieved. We evaluate a second harmonic generation/two‐photon excitation fluorescence (SHG/TPEF) imaging‐based tool to provide an automated quantitative assessment of histological features pertinent to NASH.

Liver CirrhosisMale0301 basic medicineBiopsyChronic liver diseaseSeverity of Illness IndexGastroenterologyHepatitis0302 clinical medicineNon-alcoholic Fatty Liver DiseaseFibrosisNonalcoholic fatty liver diseaseqFibrosisNASH; automated; qFIBS; qFibrosis; quantitative evaluationNASH FIBROSISmedicine.diagnostic_testNASHMiddle AgedReference Standards3. Good healthLiverDimensional Measurement AccuracyLiver biopsyFemale030211 gastroenterology & hepatologyAlgorithmsmedicine.medical_specialtydigestive systemWhite People03 medical and health sciencesAsian PeopleInternal medicineImage Interpretation Computer-AssistedSeverity of illnessmedicineHumansqFIBSHepatologyReceiver operating characteristicbusiness.industryReproducibility of Resultsmedicine.diseasequantitative evaluationdigestive system diseasesConfidence intervalFatty Liver030104 developmental biologyautomatedSteatosisbusinessHepatology
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Multi-modality of polysomnography signals’ fusion for automatic sleep scoring

2019

Abstract Objective The study aims to develop an automatic sleep scoring method by fusing different polysomnography (PSG) signals and further to investigate PSG signals’ contribution to the scoring result. Methods Eight combinations of four modalities of PSG signals, namely electroencephalogram (EEG), electrooculogram (EOG), electromyogram (EMG), and electrocardiogram (ECG) were considered to find the optimal fusion of PSG signals. A total of 232 features, covering statistical characters, frequency characters, time-frequency characters, fractal characters, entropy characters and nonlinear characters, were derived from these PSG signals. To select the optimal features for each signal fusion, …

Computer science0206 medical engineeringHealth InformaticsFeature selection02 engineering and technologyPolysomnographyElectroencephalographyta3112Approximate entropy03 medical and health sciences0302 clinical medicinepolysomnographymedicineEntropy (information theory)aivotutkimusta217ta113Sleep Stagesmedicine.diagnostic_testsignaalinkäsittelybusiness.industryPattern recognitionautomatic sleep scoringMutual informationuni (biologiset ilmiöt)020601 biomedical engineeringmulti-modality analysisRandom forestSignal ProcessingArtificial intelligencebusiness030217 neurology & neurosurgeryBiomedical Signal Processing and Control
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Modeling NAFLD Disease Burden in China, France, Germany, Italy, Japan, Spain, United Kingdom, and United States for the period 2016-2030

2018

Background & Aims: Non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) are increasingly a cause of cirrhosis and hepatocellular carcinoma globally. This burden is expected to increase as epidemics of obesity, diabetes and metabolic syndrome continue to grow. The goal of this analysis was to use a Markov model to forecast NAFLD disease burden using currently available data. Methods: A model was used to estimate NAFLD and NASH disease progression in eight countries based on data for adult prevalence of obesity and type 2 diabetes mellitus (DM). Published estimates and expert consensus were used to build and validate the model projections. Results: If obesity and…

Time FactorsDiseaseddc:616.07Liver disease0302 clinical medicineDiabetes mellitusCost of IllnessNon-alcoholic Fatty Liver DiseasePrevalenceHCCddc:616Mathematical modelseducation.field_of_studyMalalties del fetgeLiver DiseasesFatty liverBurden of diseaseNASHCardiovascular diseaseMetabolic syndromeMarkov ChainsCirrhosis030220 oncology & carcinogenesis030211 gastroenterology & hepatologyHealth care resource utilizationDiabetes mellituChinaPopulationdigestive system03 medical and health sciencesEnvironmental healthNAFLDmedicineHumansddc:610ObesityeducationDisease burdenCirrhosiHepatologybusiness.industryModels matemàticsnutritional and metabolic diseasesModels Theoreticalmedicine.diseaseObesitydigestive system diseasesDiabetes Mellitus Type 2SteatohepatitisMetabolic syndromebusiness
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Multi-modality of polysomnography signals’ fusion for automatic sleep scoring

2019

Objective: The study aims to develop an automatic sleep scoring method by fusing different polysomnography (PSG) signals and further to investigate PSG signals’ contribution to the scoring result. Methods: Eight combinations of four modalities of PSG signals, namely electroencephalogram (EEG), electrooculogram (EOG), electromyogram (EMG), and electrocardiogram (ECG) were considered to find the optimal fusion of PSG signals. A total of 232 features, covering statistical characters, frequency characters, time-frequency characters, fractal characters, entropy characters and nonlinear characters, were derived from these PSG signals. To select the optimal features for each signal fusion, four wi…

polysomnographysignaalinkäsittelyautomatic sleep scoringaivotutkimusuni (biologiset ilmiöt)multi-modality analysis
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