Topic: intensive-care Goto Github
Some thing interesting about intensive-care
Some thing interesting about intensive-care
intensive-care,Python package to detect AKI within time series data.
Organization: aidh-ms
intensive-care,Buap, MĂ©xico. Facultad de Cultura FĂsica: La app crea dos ecuaciones de regresiĂłn mĂșltiple sobre Frecuencia CardĂaca MĂĄxima y Frecuencia CardĂaca en Reposo y usa la formula de Karvonen para encontrar los LPM segĂșn varias intensidades de carga deseadas. Con la opciĂłn de crear ecuaciones automĂĄticas para datos especĂficos de grupos especĂficos de entrenados, deportistas, recreadores, entrenadores, alumnos en actividad fĂsica, u otros.
User: enriquebuendial
intensive-care,Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise?
User: harrymayne
Home Page: https://arxiv.org/abs/2403.02945
intensive-care,Code for the analysis of mortality progression in COVID-19 ICU hospitalizations in Brazil (Rede D'Or SĂŁo Luiz)
User: lslbastos
Home Page: https://doi.org/10.1007/s00134-021-06388-0
intensive-care,Temporal Variational Autoencoder Model for Rapid Response Sytem
User: nghianguyen7171
intensive-care,This project is intended to provide some useful tools to the daily work of physicians on the intensive care unit.
User: nplhse
intensive-care,My implementation of a Reinforcement Learning framework for Sepsis management.
User: odedmous
intensive-care,Medical calculator for intensive care unit
User: radioxoma
intensive-care,It is a system that collects patient information with the help of a few sensors using WiFi module to keep the Doctors updated all time over internet
User: radwa-saeed
intensive-care,This project is an independent approach to acquire patient data from Philips patient monitors via network interface.
User: re-sirb
intensive-care,:warning: ARCHIVED :warning: Essential tools and utility functions to facilitate the data processing pipeline, data cleaning and data analysing of clinical data from CC-HIC
Organization: ropensci-archive
intensive-care,WPF App for controlling and monitoring the system.
Organization: sicu-stress-measurement-system
intensive-care,Using data within first 24 hours of intensive care to develop a machine learning model that could improve the current patient survival probability prediction system (apache_4a) and is more generalized to patients outside of the US
User: tam-ng
intensive-care,Code for data linkage (curation of research database).
Organization: uhbristoldatascience
intensive-care,Public code from paper: 'Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK'
Organization: uhbristoldatascience
intensive-care,Observational study of central venous catheter-related thrombosis
Organization: umg-minai
Home Page: https://umg-minai.github.io/crt/
intensive-care,ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU
User: williamcaicedo
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