159 related articles for article (PubMed ID: 37920046)
1. Glucose trend prediction model based on improved wavelet transform and gated recurrent unit.
Yang T; Yang Q; Zhou Y; Wen C
Math Biosci Eng; 2023 Aug; 20(9):17037-17056. PubMed ID: 37920046
[TBL] [Abstract][Full Text] [Related]
2. Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques.
Zhang Y; Gao G
J Healthc Eng; 2022; 2022():8956850. PubMed ID: 35449869
[TBL] [Abstract][Full Text] [Related]
3. Developing an Individual Glucose Prediction Model Using Recurrent Neural Network.
Kim DY; Choi DS; Kim J; Chun SW; Gil HW; Cho NJ; Kang AR; Woo J
Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33198170
[TBL] [Abstract][Full Text] [Related]
4. Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction.
Rabby MF; Tu Y; Hossen MI; Lee I; Maida AS; Hei X
BMC Med Inform Decis Mak; 2021 Mar; 21(1):101. PubMed ID: 33726723
[TBL] [Abstract][Full Text] [Related]
5. Dissolved Oxygen Concentration Prediction Model Based on WT-MIC-GRU-A Case Study in Dish-Shaped Lakes of Poyang Lake.
Chi D; Huang Q; Liu L
Entropy (Basel); 2022 Mar; 24(4):. PubMed ID: 35455119
[TBL] [Abstract][Full Text] [Related]
6. Hybrid WT-CNN-GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features.
Zamani MG; Nikoo MR; Al-Rawas G; Nazari R; Rastad D; Gandomi AH
J Environ Manage; 2024 May; 358():120756. PubMed ID: 38599080
[TBL] [Abstract][Full Text] [Related]
7. Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal.
Liu C; Vehí J; Avari P; Reddy M; Oliver N; Georgiou P; Herrero P
Sensors (Basel); 2019 Oct; 19(19):. PubMed ID: 31597288
[TBL] [Abstract][Full Text] [Related]
8. An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network.
Singla P; Duhan M; Saroha S
Earth Sci Inform; 2022; 15(1):291-306. PubMed ID: 34804244
[TBL] [Abstract][Full Text] [Related]
9. A Novel Method for Regional NO
Liu B; Zhang L; Wang Q; Chen J
Comput Intell Neurosci; 2021; 2021():6631614. PubMed ID: 33927755
[TBL] [Abstract][Full Text] [Related]
10. Traffic flow prediction using bi-directional gated recurrent unit method.
Wang S; Shao C; Zhang J; Zheng Y; Meng M
Urban Inform; 2022; 1(1):16. PubMed ID: 36471871
[TBL] [Abstract][Full Text] [Related]
11. Forecasting stock prices with long-short term memory neural network based on attention mechanism.
Qiu J; Wang B; Zhou C
PLoS One; 2020; 15(1):e0227222. PubMed ID: 31899770
[TBL] [Abstract][Full Text] [Related]
12. Hybrid Deep Recurrent Neural Networks for Noise Reduction of MEMS-IMU with Static and Dynamic Conditions.
Han S; Meng Z; Zhang X; Yan Y
Micromachines (Basel); 2021 Feb; 12(2):. PubMed ID: 33672478
[TBL] [Abstract][Full Text] [Related]
13. Water quality prediction in sea cucumber farming based on a GRU neural network optimized by an improved whale optimization algorithm.
Yang H; Liu S
PeerJ Comput Sci; 2022; 8():e1000. PubMed ID: 35721411
[TBL] [Abstract][Full Text] [Related]
14. A PCA-EEMD-CNN-Attention-GRU-Encoder-Decoder Accurate Prediction Model for Key Parameters of Seawater Quality in Zhanjiang Bay.
Xie Z; Li Z; Mo C; Wang J
Materials (Basel); 2022 Jul; 15(15):. PubMed ID: 35955136
[TBL] [Abstract][Full Text] [Related]
15. A Hybrid Method Based on Extreme Learning Machine and Wavelet Transform Denoising for Stock Prediction.
Wu D; Wang X; Wu S
Entropy (Basel); 2021 Apr; 23(4):. PubMed ID: 33918679
[TBL] [Abstract][Full Text] [Related]
16. Application of grey feed forward back propagation-neural network model based on wavelet denoising to predict the residual settlement of goafs.
Zhang X; Li W; Zhang X; Cai G; Meng K; Shen Z
PLoS One; 2023; 18(5):e0281471. PubMed ID: 37141323
[TBL] [Abstract][Full Text] [Related]
17. Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only.
Prendin F; Del Favero S; Vettoretti M; Sparacino G; Facchinetti A
Sensors (Basel); 2021 Feb; 21(5):. PubMed ID: 33673415
[TBL] [Abstract][Full Text] [Related]
18. Comparative Analysis of Predictive Interstitial Glucose Level Classification Models.
Kistkins S; Mihailovs T; Lobanovs S; Pīrāgs V; Sourij H; Moser O; Bļizņuks D
Sensors (Basel); 2023 Oct; 23(19):. PubMed ID: 37837098
[TBL] [Abstract][Full Text] [Related]
19. A new strategy for groundwater level prediction using a hybrid deep learning model under Ecological Water Replenishment.
Jia Z; Zhang Q; Shi B; Xu C; Liu D; Yang Y; Xi B; Li R
Environ Sci Pollut Res Int; 2024 Apr; 31(16):23951-23967. PubMed ID: 38436858
[TBL] [Abstract][Full Text] [Related]
20. Improving blood glucose level predictability using machine learning.
Marcus Y; Eldor R; Yaron M; Shaklai S; Ish-Shalom M; Shefer G; Stern N; Golan N; Dvir AZ; Pele O; Gonen M
Diabetes Metab Res Rev; 2020 Nov; 36(8):e3348. PubMed ID: 32445286
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
