# Machine Learning Models for Predicting Unforeseen Hospital Admissions or Discharges After Anesthesia

> **NCT06582407** · — · COMPLETED · sponsor: **HUmani** · enrollment: 68683 (actual)

## Conditions studied

- Anesthesia Complication
- Surgery-Complications
- Pain, Postoperative

## Interventions

- **OTHER:** Mathematical Prediction of unforseen patient reorientation

## Key facts

- **NCT ID:** NCT06582407
- **Lead sponsor:** HUmani
- **Sponsor class:** NETWORK
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2020-01-01
- **Primary completion:** 2024-06-30
- **Final completion:** 2024-07-30
- **Target enrollment:** 68683 (ACTUAL)
- **Last updated:** 2024-10-18


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06582407

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06582407, "Machine Learning Models for Predicting Unforeseen Hospital Admissions or Discharges After Anesthesia". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT06582407. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*