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![PDF) Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records PDF) Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records](https://i1.rgstatic.net/publication/333542892_Survival_prediction_in_intensive-care_units_based_on_aggregation_of_long-term_disease_history_and_acute_physiology_a_retrospective_study_of_the_Danish_National_Patient_Registry_and_electronic_patient_/links/5e725ad5299bf157184896c2/largepreview.png)
PDF) Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records
Lasse Spangsege - CFO Changfang-Xidao (CFXD) - Copenhagen Offshore Partners | Business Profile | Apollo.io
![PDF] Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records. | Semantic Scholar PDF] Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records. | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/5ff001a7c7f4dee9b64ab49e3836b9b9444fd12e/4-Figure1-1.png)
PDF] Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records. | Semantic Scholar
![Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records - ScienceDirect Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2589750020300182-gr5.jpg)
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records - ScienceDirect
![Lasse Spangsege email address & phone number | Copenhagen Offshore Partners CFO Changfang-Xidao (CFXD) contact information - RocketReach Lasse Spangsege email address & phone number | Copenhagen Offshore Partners CFO Changfang-Xidao (CFXD) contact information - RocketReach](https://d1hbpr09pwz0sk.cloudfront.net/profile_pic/lasse-spangsege-a08f4ff2.jpg)
Lasse Spangsege email address & phone number | Copenhagen Offshore Partners CFO Changfang-Xidao (CFXD) contact information - RocketReach
![Lasse Spangsege email address & phone number | Copenhagen Offshore Partners CFO Changfang-Xidao (CFXD) contact information - RocketReach Lasse Spangsege email address & phone number | Copenhagen Offshore Partners CFO Changfang-Xidao (CFXD) contact information - RocketReach](https://d1hbpr09pwz0sk.cloudfront.net/profile_pic/maya-malik-0b59f0fb.jpg)