# Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/next-generation-personalised-model-based-critical-care-medicine-a-state-of-the/

## Facts

| Field | Value |
| --- | --- |
| Author Names | J. Geoffrey Chase,Jean‐Charles Preiser,Jennifer L. Dickson,Antoine Pironet,Yeong Shiong Chiew,Christopher G. Pretty,Geoffrey M. Shaw,Balázs Benyó,Knut Möeller,Soroush Safaei,Merryn H. Tawhai,Peter Hunter,Thomas Desaive |
| Citations | 197 |
| DOI | 10.1186/s12938-018-0455-y |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://biomedical-engineering-online.biomedcentral.com/track/pdf/10.1186/s12938-018-0455-y |
| OpenAlex ID | https://openalex.org/W2797791374 |
| PMID | 29463246 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Merryn H. Tawhai](https://scholariq.org/researchers/merryn-h-tawhai/)

## Paper primary topic

- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)

## Paper topics

- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)
- [Healthcare Technology and Patient Monitoring](https://scholariq.org/topics/healthcare-technology-and-patient-monitoring/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.