intensive-care

There are 0 repository under intensive-care topic.

• ropensci-archive / cleanEHR

  :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

  electronic-health-recordhealthcarebig-datacritical-careintensive-carerrstatsr-package
  Language:R 54

• williamcaicedo / ISeeU

  ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU

  deep-learningintensive-careinterpretable-deep-learningconvolutional-neural-networks
  Language:Jupyter Notebook 25

• re-sirb / Vital-signs

  This project is an independent approach to acquire patient data from Philips patient monitors via network interface.

  patient-monitoringvital-signsphilipsplottingintensive-caremedicalpythonpython3heartbeatheartrateblood-pressurerealtimeintellivue
  Language:Python 10

• UHBristolDataScience / towards-decision-support-icu-discharge

  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'

  mimic-iiiintensive-care
  Language:Jupyter Notebook 8

• radioxoma / heval

  Medical calculator for intensive care unit

  anthropometryblood-gasclinical-decision-supportelectrolyteintensive-caremedical-application
  Language:Python 7

• UHBristolDataScience / ICNARC-to-Philips-Linkage

  Code for data linkage (curation of research database).

  intensive-careresearch-datadata-curation
  Language:Jupyter Notebook 6

• aidh-ms / pyAKI

  Python package to detect AKI within time series data.

  akidisease-detectionhealthintensive-care
  Language:Python 4

• HarryMayne / ICU-patient-subgroups

  Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise?

  intensive-caremachine-learning
  Language:Jupyter Notebook 1

• SICU-Stress-Measurement-System / frontend-cs

  WPF App for controlling and monitoring the system.

  stressmeasurementsystemsurgicalintensive-carehealthcarewpfserialportserial-communicationbluetoothrealtimeecgeeg
  Language:C# 1

• tam-ng / Survival_Analysis_ICU_24hrs

  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

  icusurvival-predictionmachine-learningcatboostlgboostcnnwids-datathonwidssurvival-analysispcaneural-networkhealthcareintensive-careimputation-methodsshapley
  Language:Jupyter Notebook 1

• EnriqueBuendiaL / Biomechanics_FCmax_FCreposo

  Buap, México. Facultad de Cultura Física: La app crea dos ecuaciones de regresión múltiple sobre Frecuencia Cardíaca Máxima y Frecuencia Cardíaca en Reposo y usa la formula de Karvonen para encontrar los LPM según varias intensidades de carga deseadas. Con la opción de crear ecuaciones automáticas para datos específicos de grupos específicos de entrenados, deportistas, recreadores, entrenadores, alumnos en actividad física, u otros.

  heart-rate-variabilityheart-rate-monitorssportphysical-educationcontroltrainintensive-careintensitypythonbiomechanicsphysiologyphysiological-signals
  Language:Jupyter Notebook 0

• lslbastos / COVID19_ICU_Changes_Mortality

  Code for the analysis of mortality progression in COVID-19 ICU hospitalizations in Brazil (Rede D'Or São Luiz)

  rcovid-19intensive-carecox-regressiontemporal
  Language:R 0

• nplhse / icuhelp

  This project is intended to provide some useful tools to the daily work of physicians on the intensive care unit.

  hospitalintensive-caremedicinemedicine-applicationssymfony-applicationsymfony4
  Language:PHP 0

• OdedMous / Sepsis-RL

  My implementation of a Reinforcement Learning framework for Sepsis management.

  decision-makingintensive-carereinforcement-learning
  Language:Python 0

• umg-minai / crt

  Observational study of central venous catheter-related thrombosis

  crtcvcanaesthesiaintensive-care
  Language:TeX 0

• nghianguyen7171 / TVAE-RRS

  Temporal Variational Autoencoder Model for Rapid Response Sytem

  clinical-dataintensive-caretime-series-classification
  Language:PostScript

• Radwa-Saeed / IOT-Based-ICU-Patient-Monitoring-System

  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

  arduinoesp8266expressjsintensive-careiotmonitoring-toolnodejsreactreact-nativeherukomongodbmongodb-atlas
  Language:JavaScript