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智能診療，個(gè)性化干預(yù)，機(jī)器學(xué)習(xí)，因果推理?

[1].Chen, Y.W.,. Xu, L.q, and B. Yi, Early recognition of risk of critical adverse events based on deep neural decision gradient boosting. Frontiers in Public Health, 2023. 10 https://doi.org/10.3389/fpubh.2022.1065707.【SCI,IF:6.461,2區(qū),論文基于深度神經(jīng)決策梯度提升網(wǎng)絡(luò)預(yù)測危重癥不良事件風(fēng)險(xiǎn)】???

[2].Chen, Y.W., Liu J . Polynomial dendritic neural networks[J]. Neural Computing and Applications, 34, 11571–11588 (2022). 【SCI, IF:5.606,2區(qū),論文提出多項(xiàng)式樹突神經(jīng)網(wǎng)絡(luò)可解釋性對危重癥進(jìn)行風(fēng)險(xiǎn)預(yù)測】???

[3].Chen, Y.W., Zhong,K.H., Zhu.Y.Z.T., and Sun.Q.L.,Two-stage hemoglobin prediction based on prior causality. Frontiers in Public Health, 2022. 10: p. 12 https://doi.org/10.3389/fpubh.2022.1079389. 【SCI, IF:6.461,2區(qū),基于先驗(yàn)因果性兩階段預(yù)測圍術(shù)期患者血紅蛋白濃度】???

[4].Chen, Y.W., Zhu, Y., K. Zhong, Z. Yang, Y. Li, X. Shu, D. Wang, P. Deng, X. Bai, J. Gu, K. Lu, J. Zhang, L. Zhao, T. Zhu, K. Wei, and B. Yi, Optimization of anesthetic decision-making in ERAS using Bayesian network. Frontiers in Medicine 2022. 9【SCI, IF:5.058,2區(qū),基于貝葉斯網(wǎng)絡(luò)優(yōu)化麻醉醫(yī)療決策干預(yù)】???

[5].Chen, Y.W , Qin X , Zhang L , et al. A Novel Method of Heart Failure Prediction Based on DPCNN-XGBOOST Model[J]. Computers, Materials and Continua, 2020, 65(1):495-510.【SCI, IF:3.860,2區(qū),基于深度金字塔卷積神經(jīng)網(wǎng)絡(luò)和XGBOOST預(yù)測圍術(shù)期心衰風(fēng)險(xiǎn)】???

[6].Chen, Y.W., Zhang J , Qin X L . Interpretable instance disease prediction based on causal feature selection and effect analysis[J]. BMC Medical Informatics and Decision Making, 2022, 22(1):1-14. 【SCI, IF:3.298,基于因果特征選擇和效應(yīng)分析可解釋性預(yù)測疾病】???

[7].Chen, Y.W. and B. Qi, Representation learning in intraoperative vital signs for heart failure risk prediction. BMC medical informatics and decision making, 2019. 19(1): p. 260-260. 【SCI, IF:3.298,基于表示學(xué)習(xí)利用術(shù)中監(jiān)護(hù)數(shù)據(jù)預(yù)測心衰風(fēng)險(xiǎn)】???

[8].Chen, Y.W, Li YJ, Deng P, Yang ZY, Zhong KH, Zhang LG, Chen Y, Zhi HY, Hu XY, Gu JT, Ning JL, Lu KZ, Zhang J, Xia ZY, Qin XL, Yi B. Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network. BMC Anesthesiol. 2022 Apr 23;22(1):119.【SCI, IF:2.376,基于時(shí)序注意力機(jī)制卷積網(wǎng)絡(luò)預(yù)測危重癥住院死亡】???

[9].Chen, Y.W., Zhang, J., Wang, P. , Hu, Z.Y., and Zhong, K.H., Convolutional-de-convolutional neural networks for recognition of surgical workflow. Frontiers in Computational Neuroscience, 2022. 16: p. 【SCI, IF:3.387,基于卷積與反卷積智能識(shí)別手術(shù)流程】???

[10].Li YJ, Zhong KH, Bai XH, Tang X, Li P, Yang ZY, Zhi HY, Li XJ, Chen Y, Deng P, Qin XL, Gu JT, Ning JL, Lu KZ, Zhang J, Xia ZY, Chen, Y.W, Yi B. A Simple and Quick Screening Method for Intrapulmonary Vascular Dilation in Cirrhotic Patients Based on Machine Learning. J Clin Transl Hepatol. 2021 Oct 28;9(5):682-689. doi: 10.14218/JCTH.2020.00184. 【SCI, IF:5.065,2區(qū),基于機(jī)器學(xué)習(xí)設(shè)計(jì)一種快速便捷肺內(nèi)血管擴(kuò)張的的識(shí)別方法】???

[11].Huang ,W, Chen, Y.W, Wang, P., Liu, X., and Liu, S., An Interpretable Temporal Convolutional Network Model for Acute Kidney Injury Prediction in the Intensive Care Unit,? IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 3021-3028. 【BIBM會(huì)議，基于時(shí)序卷積網(wǎng)絡(luò)的可解釋性急性腎損傷重癥預(yù)測】???

[12].Li YJ, Zhang LG, Zhi HY, Zhong KH, He WQ, Chen Y, Yang ZY, Chen L, Bai XH, Qin XL, Li DF,Wang DD, Gu JT, Ning JL, Lu KZ, Zhang J, Xia ZY, Chen YW, Yi B. A better method for the dynamic, precise estimating of blood/haemoglobin loss based on deep learning of artificial intelligence. Annals of Translational Medicine,2020;8(19):1219. doi: 10.21037/atm-20-1806.???

[13].Baolian Qi, Xiaolin Qin, Jia Liu, Yang Xu, Chen, Y.W. A Deep Architecture for Surgical Workflow Recognition with Edge Information, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, CA, USA, 2019, pp. 1358-1364. 18-21 Nov. 2019 ???

[14].Sun L., Cao Q., Chen Y.W., Zheng Y. H., Wu Z.b., Mixed noise removal for hyperspectral images based on global tensor low-rankness and non-local SVD-aided group sparsity, IEEE Transactions on Geoscience and Remote Sensing, 2023. DOI: 10.1109/TGRS.2023.3257851.???

專利：???

陳芋文；張矩；鐘坤華；孫啟龍；林小光；劉江。一種基于強(qiáng)化學(xué)習(xí)的監(jiān)護(hù)預(yù)警方法及系統(tǒng) ?CN202011217940.8? 【提出一種基于強(qiáng)化學(xué)習(xí)的危重癥預(yù)警方法】 2022年授權(quán)???

陳芋文；魯開智；張矩；鐘坤華；祁寶蓮；孫啟龍；李亞晴。一種基于跨模態(tài)深度學(xué)習(xí)的圍術(shù)期危重癥事件預(yù)測方法 ZL201910223568.2 【提出一種跨模態(tài)的危重癥預(yù)測方法】2022年授權(quán)???

陳芋文;唐鵬;鐘坤華;祁寶蓮;孫啟龍;汪鵬;王飛。一種半監(jiān)督手術(shù)視頻流程識(shí)別方法 201910142716.8 【提出一種半監(jiān)督的手術(shù)流程智能識(shí)別的方法】 2022年授權(quán)???

鐘坤華；陳芋文；張矩；孫啟龍?；谪惾~斯網(wǎng)絡(luò)和效用體系的圍手術(shù)期危重不良事件干預(yù)決策方法 CN201910806510.0? 【提出一種基于因果貝葉斯網(wǎng)絡(luò)的圍術(shù)期醫(yī)療決策方法】 2021年授權(quán)???

鐘坤華；易斌；陳芋文；張力戈；李雨捷；支鴻羽；楊智勇；魯開智；張矩。一種基于特征工程的紗布浸血估算模型構(gòu)建方法 ZL 202010324238.5 【提出一種血紅蛋白的估計(jì)方法】 2021年授權(quán)???

國家重點(diǎn)研發(fā)計(jì)劃課題：重癥和手術(shù)監(jiān)護(hù)危重事件預(yù)測模型與智能干預(yù)推理決策（主持人：陳芋文，240萬，編號(hào)：2018YFC0116704，2018.8-2022.8）???

中國科學(xué)院人才項(xiàng)目：基于人工智能算法的危重癥風(fēng)險(xiǎn)預(yù)測研究（主持人：陳芋文，80萬，編號(hào)：2020377，2020.1-2023.12）???

重慶市自然科學(xué)基金面上項(xiàng)目：基于可解釋性DQN算法改進(jìn)的圍術(shù)期心血管危重不良事件早期預(yù)警研究（主持人：陳芋文，10萬，編號(hào)：CSTB2022NSCQ-MSX0894，2022.8-2024.7）???

國家重點(diǎn)研發(fā)計(jì)劃課題：云端融合的多模態(tài)數(shù)據(jù)交互意圖理解（子課題：陳芋文，135萬，2016YFB1001404， 2016.6-2020.6） ???

軍委科技委項(xiàng)目：野戰(zhàn)醫(yī)療所自然人機(jī)交互智能手術(shù)器械輔助管理機(jī)器人研發(fā)（主持人：陳芋文，12萬，編號(hào)：Y81Z110）???

重慶市民生工程重點(diǎn)項(xiàng)目：基于人工智能算法的術(shù)后心血管危重不良事件早期預(yù)警研究（主持人：陳芋文，10萬，編號(hào)：E0316006）???

中科院STS項(xiàng)目：內(nèi)蒙古復(fù)雜地形條件下數(shù)值預(yù)報(bào)模擬關(guān)鍵技術(shù)研發(fā)及應(yīng)用（240萬，參與）???

中科院人才項(xiàng)目：西南地區(qū)復(fù)雜地形條件下數(shù)值預(yù)報(bào)模擬關(guān)鍵技術(shù)應(yīng)用研究（75萬，參與）???

橫向項(xiàng)目：高分辨率數(shù)值預(yù)報(bào)系統(tǒng)運(yùn)維（454萬，參與），重慶市超算服務(wù)平臺(tái)（3200萬，參與）?