WHO ICTRP trial
Machine Learning for Risk Stratification in the Emergency Department: A Pilot…
NL-OMON54014 · Overview of Medical Research in the Netherlands (NL-OMON) · Recruiting
Key facts
| Trial ID | NL-OMON54014 |
|---|---|
| Public title | Machine Learning for Risk Stratification in the Emergency Department: A Pilot Clinical Trial |
| Scientific title | Machine Learning for Risk Stratification in the Emergency Department: A Pilot Clinical Trial - MARS-ED |
| Primary sponsor | Medisch Universitair Ziekenhuis Maastricht |
| Registry | Overview of Medical Research in the Netherlands (NL-OMON) |
| Recruitment status | Recruiting |
| Study type | Interventional |
| Countries | The Netherlands |
| Conditions | Acute aandoeningen bij patiënten op de SEH n.v.t.;n.v.t. |
| Interventions | Physicians will be presented with the ML risk score of the patients they are actively treating, directly after assessment of regular diagnostics has taken place. ;emergency department;machine learning;mortality prediction;risk… |
| Registration date | Aug 25, 2023 |
| Target size | 2070 |
| Secondary IDs | n.n.t.b.;NL78478.068.21 |
| Registry page | onderzoekmetmensen.nl |
At a glance
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Source: World Health Organization (WHO), International Clinical Trials Registry Platform (ICTRP) · Source date: