Clinical trials: Risk Prediction Model
Plasticizers
Develop a Risk Prediction Model for Phthalate-ester-induced Diseases
This exploratory study collected basic demographic and laboratory data from the Taiwan Biobank using artificial intelligence algorithms and applied data mining to identify the correlations between phthalate esters…
- Trial name
- NCT05892029
- Where
- 2 sites in Taiwan
- Volunteers
- 1,136 people, healthy volunteers welcome
- Sponsor
- National Taipei University of Nursing and Health Sciences
Sepsis
A Machine Learning Predictive Model for Sepsis
Timely and accurately predicting the occurrence of sepsis and actively intervening in treatment may effectively improve the survival and cure rate of patients with sepsis.
- Trial name
- NCT04771429
- Where
- China
- Volunteers
- 4,500 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Moyamoya Disease, Intracranial Hemorrhages
5T MRI and Metabolomics-Based Hemorrhage Risk Prediction in Moyamoya Disease
Intracranial hemorrhage is a leading cause of death and disability in patients with moyamoya disease (MMD), yet clinically available tools for predicting long-term hemorrhage risk are lacking.
- Conditions
- Moyamoya Disease, Intracranial Hemorrhages, Stroke
- Trial name
- NCT07781579
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Beijing Hospital
Postoperative Infections, Mandibular Nerve Injuries
Surgeons' Prediction of Dental Surgery Complications and the Influence of Patient Characteristics: Development of an AI Model
The goal of this observational study is to learn how to better predict and prevent intra- and postoperative complications in oral surgery in adult patients referred for oral surgical procedures.
- Conditions
- Postoperative Infections, Mandibular Nerve Injuries, Alveolar Osteitis, Complication
- Trial name
- NCT07461324
- Where
- 2 sites in Denmark
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- University of Copenhagen
Placenta Accreta Spectrum
Risk Factors, Prognosis and Prediction Models for Placenta Accreta Without Prior Cesarean Section
1. Identify the risk factors for Placenta accreta spectrum (PAS) disorders in women without prior caesarean section (CS). 2. Clarify the prognostic factors of the disease and explore individualized treatment options to improve…
- Trial name
- NCT06383923
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Peking University Third Hospital
Drug Addiction
Construction of Early Warning Model for the New Psychoactive Substances Using in Adolescents
Based on the biological-psychology-sociological medicine pattern, this study aims to construction an early warning model of the New Psychoactive Substances (NPS) using for adolescents aged 14-35 years old.
- Trial name
- NCT05958641
- Testing
- Questionnaires
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Wei XIA, PhD
HIV Infections, Preexposure Prophylaxis (PrEP)
Clinical Decision Support for PrEP
Scale-up of HIV preexposure prophylaxis (PrEP) is a key strategy of the federal initiative to end the HIV epidemic. However, healthcare providers lack tools to identify patients who are at increased risk for HIV infection and…
- Trial name
- PrEDICT (NCT05245201)
- Testing
- Standard of care, Clinical decision support for PrEP
- Where
- 3 sites in United States
- Volunteers
- 4 people, healthy volunteers welcome
- Sponsor
- Harvard Pilgrim Health Care
High-risk, Bipolar Disorder
A Cohort Study of Disease Prediction Model for High-risk Population With Bipolar Disorder
Bipolar disorder (BD) is a serious, complicated, familial aggregation onset of mental illness, which has the characteristics of five-low and one-high, namely high prevalence, high recurrence rate, high morbidity and mortality…
- Conditions
- High-risk, Bipolar Disorder, Atypical Depression
- Trial name
- DPM-rBD (NCT07031661)
- Testing
- This was an observational study with no intervention.
- Where
- China
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Shanghai Mental Health Center
Severe Early Childhood Caries, Caries
Construction of a Multidimensional Risk Prediction Model for Severe Early Childhood Caries
This study aims to address the high prevalence and recurrence rate of severe early childhood caries (S-ECC) by breaking away from the traditional single biological factor perspective and introducing the theories of "24-hour…
- Trial name
- NCT07335744
- Testing
- questionnaire survey
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- The Children's Hospital of Zhejiang University School of Medicine
Sport Injury, Hamstring Injury
System Dynamics Model for Acute Non-contact Lower Extremity Injuries Prediction
Despite the extensive research on prevention and prediction strategies, hamstrings strains injury (HSI) persists at a high rate in team sports and specifically in football.
- Conditions
- Sport Injury, Hamstring Injury, Risk Factors, Interaction
- Trial name
- SDLE (NCT05425303)
- Testing
- Exposure to risk for injury
- Where
- Greece
- Volunteers
- 99 people, healthy volunteers welcome
- Sponsor
- University of Patras
Liver Transplantation
A New Prediction Mode for Predicting the Risk of Pressure Injury in Patients Undergoing Liver Transplantation
Pediatric population is at a high-risk of pressure injury (PI). Patients undergoing liver transplantation are more prone to PIs compared with other types of surgery.
- Trial name
- PMPRPIULT (NCT05588271)
- Testing
- Exposures
- Where
- China
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- RenJi Hospital
Lumbar Disc Herniation, Lumbar Degenerative Disease
Multivariate Analysis and Machine Learning Model Risk Prediction of Recurrent Pain After PLIF Surgery for Degenerative Lumbar Spine Disease At Long-term Follow-up
The study was a clinical retrospective study designed to investigate risk factors for long-term recurrent pain after PLIF in patients with lumbar degenerative disease and to improve patient outcomes
- Conditions
- Lumbar Disc Herniation, Lumbar Degenerative Disease, Sarcopenia
- Trial name
- NCT06622356
- Testing
- MRI with Eovist
- Where
- China
- Volunteers
- 452 people, healthy volunteers welcome
- Sponsor
- Hao Liu