NCT05569460招募中不适用
Construction of Perioperative Medical Data Platform and Its Typical Practice to Predict Postoperative Acute Moderate to Severe Pain With Machine Learning Models
适应症
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 6,500
- 试验地点
- 1
- 主要终点
- Area under the curve
研究概览
简要总结
Data intelligence platform was widely used to facilitate the process of clinical research. However, a platform that integrates natural language processing (NLP) and machine learning (ML) algorithms has not been reported in perioperative medical management.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 80 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Patients were included if they were above 18 years old, undergoing non-local anesthesia surgery.
排除标准
- •The basic information such gender, age, height, weight, and body mass index (BMI) were missing.
- •Patients undergoing day surgery, with a history of multiple operations, or entering ICU after surgery, and losing the NRS score during movement at 24h after surgery.
结局指标
主要结局
Area under the curve
时间窗: April 2020 to May 2021
It measures the prediction effect of the algorithm model
次要结局
未报告次要终点
研究者
Hui Zhang
associate chief physician
Guangdong Second Provincial General Hospital
研究点 (1)
Loading locations...
相似试验
Unknown
不适用
Linking Novel Diagnostics With Data-Driven Clinical Decision Support in the Emergency DepartmentInpatient Hospitalization, Intensive Care Unit Admission, Inpatient Mortality, Sepsis and Septic ShockNCT05335135Stocastic, LLC300,000
进行中（未招募）
不适用
Integrating Data, Algorithms and Clinical Reasoning for Surgical Risk AssessmentPostoperative ComplicationsNCT02741986University of Florida200
Unknown
不适用
Sharable Knowledge Mining PlatformLiver CancerNCT01178801National Taiwan University Hospital10,000
招募中
不适用
Safety, Performance and Usability of BALT Medical Devices: The EVIDENCE Post Marketing Clinical Follow-up PlatformAVMIntracranial AneurysmNCT04927156Balt Extrusion10,000
已完成
不适用
CALYPSO Pilot Study: Machine Learning Based Predictions of Surgical ComplicationsComplication of Surgical ProcedurePostoperative InfectionNCT02828475Duke University200