Sökresultat - "MIMIC-III database"

Visual Representation of Tabular Electronic Health Records for Predicting Sudden Cardiac Arrest

Afrin, Rubya, Mohammed, Emad A., Far, Behrouz

2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Stress hyperglycemia ratio linked to all-cause mortality in critically ill patients with ischemic heart disease

Tao Liu, Lili wang, Hao Zhang, Qiming Dai

electronic resource

Visa

Data Driven Classification of Opioid Patients Using Machine Learning–An Investigation

Al Amin, L., Mukta, M.S.H., Saikat, M.S.M., Hossain, M.I., Islam, M.A., Ahmed, M., Azam, S.

An HPC-Driven Data Science Platform to Speed-up Time Series Data Analysis of Patients with the Acute Respiratory Distress Syndrome

Barakat, C., Fritsch, S., Riedel, M., Brynjolfsson, S.

2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)

Development of a nomogram to predict in-ICU mortality of elderly patients with sepsis-associated liver injury: an analysis of the MIMIC-IV database

Xuemei Hu, Jianbao Wang, Susu Cao, Aolin Xia, Xiaocong Jiang, Tianfeng Hua, Min Yang

electronic resource

Visa; Visa

Using MLP partial responses to explain in-hospital mortality in ICU

Olier, Ivan, Sansom, Annabel, Lisboa, Paulo, Ortega-Martorell, Sandra

2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI)

Chronic obstructive pulmonary disease is associated with a higher incidence of acute kidney injury in non-cardiac but not in cardiac surgery ICU-patients: a retrospective MIMIC-III database analysis

Hochhausen, Nadine ^{a, ⁎}, Moza, Ajay ^b, Kroh, Andreas ^c, Rossaint, Rolf ^a, Kork, Felix ^a

Development of a predictive nomogram for 28-day mortality risk in non-traumatic or post-traumatic subarachnoid hemorrhage patients

Miao, Guiqiang, Cai, Zhenbin, He, Xin, Yang, Jie, Zhang, Yunlong, Ma, Ao, Zhao, Xiaodong^{Aff1, IDs10072023071995_cor7}, Tan, Minghui^{Aff2, IDs10072023071995_cor8}

Data filtering for corrupted MIMIC III dataset with deep learning

Jin, Yongsik, Shin, Crino, Kwon, Wookyong, Kim, Kyuhyung, Yun, Jong Pil

2020 20th International Conference on Control, Automation and Systems (ICCAS)

Development and validation of a nomogram to predict the risk of renal replacement therapy among acute kidney injury patients in intensive care unit

Peng, Jiang-Chen, Wu, Yan, Xing, Shun-Peng, Zhu, Ming-Li, Gao, Yuan, Li, Wen^{Aff1, IDs10157023023835_cor6}

The relationship between admission Braden score and poor prognosis in Sepsis patients: evidence from the MIMIC-III database

Ding, Tingting^Aff1, Zhao, Lei^Aff1, Hu, Ben, Wei, Xing, Wang, Yongsheng^{Aff1, IDs1287902510937z_cor1}, Wang, Yan^{Aff3, IDs1287902510937z_cor2}

Adding Insult to Injury: When Atrial Fibrillation Encounters Left Bundle Branch Block

Dong-sheng Zhao, Nishant Yadav, Yan Dong, Qiu-shi Chen, Di Yang, Feng-xiang Zhang

electronic resource

Visa; Visa

Prognostic significance of the aspartate aminotransferase to lymphocyte ratio index in patients with acute myocardial infarction

Huidi Liu, Fan Zhao, Jun Yin, Taimin Liu, Bo Liu

electronic resource

Visa

Establishment and validation of a prognosis nomogram for MIMIC-III patients with liver cirrhosis complicated with hepatic encephalopathy

Wansheng Yan, Zhihui Yao, Qiutong Ou, Gang Ye

electronic resource

Visa

Association of estimated glomerular filtration rate and all-cause mortality in acute pancreatitis: a retrospective analysis

Fang Gong, Quan Zhou, Chunmei Gui, Shaohua Huang

electronic resource

Visa

Influence of systolic blood pressure trajectory on in-hospital mortality in patients with sepsis

Zhu, Jia-Liang^{Aff1, Aff2}, Yuan, Shi-Qi, Huang, Tao, Zhang, Lu-Ming, Xu, Xiao-Mei^{Aff1, Aff2}, Yin, Hai-Yan, Wei, Jian-Rui^{Aff2, IDs1287902308054w_cor7}, Lyu, Jun^{Aff4, IDs1287902308054w_cor8}

Independent effects of the triglyceride-glucose index on all-cause mortality in critically ill patients with coronary heart disease: analysis of the MIMIC-III database

Zhang, Rongting^{Aff1, Aff2}, Shi, Shanshan^{Aff1, Aff2}, Chen, Weihua^{Aff1, Aff2}, Wang, Yani^{Aff1, Aff2}, Lin, Xueqin^{Aff1, Aff2}, Zhao, Yukun^{Aff1, Aff2}, Liao, Lihua^{Aff1, Aff2}, Guo, Qian^{Aff1, Aff2}, Zhang, Xiaoying^{Aff1, Aff2}, Li, Weiguo, Zhang, Kaijun^{Aff3, IDs12933023017373_cor11}, Liao, Ying^{Aff1, IDs12933023017373_cor12}, Fang, Yong^{Aff1, IDs12933023017373_cor13}

Associations of systolic blood pressure and in-hospital mortality in critically ill patients with acute kidney injury

Liang, Zheng^{Aff1, Aff2}, Yue, Suru, Zhong, Jianfeng, Wu, Jiayuan^{Aff3, IDs11255023035107_cor4}, Chen, Can^{Aff1, IDs11255023035107_cor5}

Machine learning for the prediction of acute kidney injury in patients with sepsis

Suru Yue, Shasha Li, Xueying Huang, Jie Liu, Xuefei Hou, Yumei Zhao, Dongdong Niu, Yufeng Wang, Wenkai Tan, Jiayuan Wu

electronic resource

Visa

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