Clinical trials: Prediction Model
Pulmonary Embolism
Prospective Validation of an Acute Pulmonary Embolism Severity and Prognosis Prediction Model
The purpose of this study is to prospectively validate the first PUMCH model for acute PE severity and prognosis prediction based on multi-center data constructed in the pre-project period based on national population data, and…
- Trial name
- NCT05723003
- Where
- China
- Volunteers
- 4,000 people
- Sponsor
- Peking Union Medical College Hospital
Bronchiectasis, Non-cystic Fibrosis Bronchiectasis
Bronchiectasis Phenotype Identification Model
The Bronchiectasis Phenotype Identification Model (BPIM) is a prospective observational development-validation study within the Assiut University bronchiectasis translational research platform.
- Conditions
- Bronchiectasis, Non-cystic Fibrosis Bronchiectasis, Bronchiectasis With Acute Exacerbation
- Trial name
- BPIM (NCT07599969)
- Where
- Egypt
- Volunteers
- 750 people
- Sponsor
- Assiut University
Growth Hormone Deficiency, Idiopathic Short Stature
Constructing an Insulin-Like Growth Factor-based Prediction Model
Serum insulin-like growth factor-I (IGF-I) measurements have been shown to correlate well with growth hormone action and effect, and recent data show that serum IGF-I may be related to safety and efficacy of growth hormone (GH)…
- Conditions
- Growth Hormone Deficiency, Idiopathic Short Stature, Small for Gestational Age
- Trial name
- NCT00263445
- Where
- United States
- Volunteers
- 30 people
- Sponsor
- University of California, Los Angeles
Adverse Drug Events
Eliminating Risk of Preventable Adverse Drug Events at the Hospital-community Interface of Care
This initiative aims to decrease the risk of medication errors at the hospital-community interface as well as health system utilization following hospital discharge by implementing a pharmacist-led medication reconciliation in…
- Trial name
- CMR (NCT01164137)
- Testing
- Medication Reconciliation
- Where
- Canada
- Volunteers
- 156 people, healthy volunteers welcome
- Sponsor
- Westview Physician Collaborative
Bleeding Peptic Ulcer
Multicenter Validation on Predicting Mortality for Patients With Bleeding Peptic Ulcers
This study aimed to validate CU prediction model on mortality for patients with high risk bleeding peptic ulcers after therapeutic endoscopy.
- Trial name
- NCT02245802
- Where
- China
- Volunteers
- 785 people
- Sponsor
- Chinese University of Hong Kong
Coronary Artery Disease
Prediction of Coronary Artery Disease Based on Multimodal, Non-contact Information With Artificial Intelligence
The goal of this observational study are 1) to assess the effectiveness of modalities and/or their combination of multimodal non-contact information in predicting coronary artery disease; 2) to prospectively validate the…
- Trial name
- NCT06092801
- Testing
- No intervention
- Where
- China
- Volunteers
- 2,978 people, healthy volunteers welcome
- Sponsor
- China National Center for Cardiovascular Diseases
Stomach Neoplasms, Aged
Model for Prognosis of Elderly Gastric Cancer Patients
This study aims to develop and validate a Random Survival Forest (RSF) model for predicting long-term survival in elderly patients following curative resection for gastric cancer.
- Trial name
- NCT06393153
- Where
- China
- Volunteers
- 1,202 people
- Sponsor
- Chang-Ming Huang, Prof.
Venous Thromboembolism, Critical Illness
Predicting the Risk of Venous Thromboembolism in Critically Ill Patients
Introduction: Venous thrombosis (VTE), including both deep vein thrombosis (DVT) and pulmonary embolism (PE) remains a frequent complication in patients admitted to the Intensive Care Unit (ICU).
- Trial name
- NCT05498142
- Volunteers
- 7,600 people
- Sponsor
- University Medical Center Groningen
Glioma
Development and Validation of a Deep Learning-Based Survival Prediction Model for Pediatric Glioma Patients: A Retrospective Study Using the SEER Database and Chinese Data
Accurately predicting the survival of pediatric glioma patients is crucial for informed clinical decision-making and selecting appropriate treatment strategies.
- Trial name
- NCT06199388
- Testing
- Survival state
- Where
- China
- Volunteers
- 9,532 people
- Sponsor
- Tang-Du Hospital
Musculoskeletal Injury, Spinal Injuries
Predictive Models for Spine and Lower Extremity Injury After Discharge From Rehab
The purpose of this study is to develop algorithms that will help predict future injury and/or re-injury after being returned to duty from a musculoskeletal injury.
- Conditions
- Musculoskeletal Injury, Spinal Injuries, Leg Injuries
- Trial name
- MP3-RD (NCT02776930)
- Where
- 4 sites in United States
- Volunteers
- 480 people
- Sponsor
- Brooke Army Medical Center
Diabete Type 2
BGEM Use as Blood Glucose Prediction Model in T2DM Population of Indonesia
Using signals from consumer-grade PPG sensors on wrist wearables, smart rings or hearables, BGEM® AI model computes the relevant digital biomarkers correlated with the change of blood glucose level to predict a blood glucose…
- Trial name
- NCT06642467
- Testing
- BGEM
- Where
- Indonesia
- Volunteers
- 885 people
- Sponsor
- Krida Wacana Christian University
Anesthesia
Evaluation of the Concentration-prediction for Oxygen and Volatile Anesthetic Agents in the 'Draeger Perseus A500' Anesthesia Machine
The anesthesia machine "Draeger Perseus A 500" has an integrated software which calculates the predicted course of the concentration of oxygen and the volatile anesthetics sevoflurane and desflurane for the next 20 minutes.
- Trial name
- NCT03465319
- Where
- Germany
- Volunteers
- 20 people
- Sponsor
- University of Erlangen-Nürnberg Medical School
Posterior Chamber Phakic Intraocular Lens, Vault
Study on the Diagnostic Efficacy of ICL Selection and Prediction Depth Model Based on Eye Images
To evaluate the diagnostic efficacy of deep learning network model in implantable collamer lens selection and prediction in a multicenter cross-sectional study
- Conditions
- Posterior Chamber Phakic Intraocular Lens, Vault, Deep Neural Network, Myopia
- Trial name
- NCT06669728
- Testing
- AI diagnostic algorithm
- Where
- China
- Volunteers
- 326 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
Gastric Cancer (Diagnosis), Postoperative Complications
DeepComp for Prediction of Gastric Cancer Postoperative Complications (DeepComp-Prospective)
Gastric cancer is a leading cause of cancer-related mortality, and radical surgery remains the primary treatment. However, postoperative complications are common and can significantly impact patient recovery and quality of life.
- Trial name
- NCT07401173
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Qun Zhao
Chronic Hepatitis b
Prediction System of Clinical Endpoint Events for Chronic Hepatitis B Patients
A total of 2000 chronic hepatitis B (CHB) patients with liver biopsy performed at least 1 year after antiviral therapy are enrolled. All the patients will receive original antiviral treatment for the following 10 years.
- Trial name
- NCT03777969
- Where
- 7 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Beijing Friendship Hospital
Postoperative Infection, Geriatrics
Elderly Patients Surgical Site Infection Phenotypes Identification
This study utilizes Latent Class Analysis (LCA) to identify phenotypes of Surgical Site Infection (SSI) in elderly patients following non-cardiac surgery.
- Conditions
- Postoperative Infection, Geriatrics, Prediction, Surgical Site Infection
- Trial name
- NCT06612177
- Where
- China
- Volunteers
- 42,532 people, healthy volunteers welcome
- Sponsor
- Weidong Mi
Hepatocellular Carcinoma, Liver Cancer
Sex-Specific Machine Learning Models to Predict Distant Metastasis in Liver Cancer
This study looked at whether male and female patients with liver cancer (hepatocellular carcinoma, HCC) have different risks of the cancer spreading to distant parts of the body (distant metastasis).
- Conditions
- Hepatocellular Carcinoma, Liver Cancer, Neoplasm Metastasis
- Trial name
- GENDER-HCC-MET (NCT07386639)
- Volunteers
- 19,019 people
- Sponsor
- Tongji University
Hepatocellular Carcinoma (HCC)
HCC Risk Prediction Model Based on Multimodal Data in Chronic Hepatitis B
The investigators propose to construct and validate an early HCC risk prediction model in a multicenter retrospective cohort of hepatitis B-related fibrosis/cirrhosis patients, using multimodal data encompassing longitudinal…
- Trial name
- NCT07780357
- Testing
- No intervention (observational study)
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Beijing Friendship Hospital
Diabetes Mellitus, Pre Diabetes
Development and Validation of DM and Pre-DM Risk Prediction Model
Many DM and pre-DM remain undiagnosed. The aim is to develop and validate a risk prediction function to detect DM and pre-DM in Chinese adults aged 18-84 in primary care (PC). The objectives are to: 1.
- Trial name
- NCT04881383
- Testing
- OGTT and HbA1c
- Where
- Hong Kong
- Volunteers
- 1,014 people, healthy volunteers welcome
- Sponsor
- The University of Hong Kong
Ischemic Stroke
Research on AIS Recurrence Risk Prediction Model Using XGBoost Combined With Convolutional Neural Network Algorithm
The purpose of this observational study is to construct a recurrence risk prediction model for ischemic stroke within 1, 3, 6, and 12 months using XGBoost combined with Convolutional Neural Network (CNN) algorithm.
- Trial name
- NCT06796283
- Where
- China
- Volunteers
- 2,628 people
- Sponsor
- Second Affiliated Hospital of Nanchang University