Clinical trials: Prediction Model
Military Activity
Body Fat Percentage Prediction Model After Basic Combat Training on Army Candidate in Indonesia
This research is a quantitative study using the Pre-Experimental Model One-Group Pretest-Posttest Design with total sampling from the Republic of Indonesia Defense University batch 4 cadets that fullfiled criteria.
- Trial name
- NCT06134427
- Testing
- basic combat training (investigator did not design the intervention)
- Where
- Indonesia
- Volunteers
- 258 people, healthy volunteers welcome
- Sponsor
- Universitas Indonesia
Postoperative Death
Descriptive and Risk Factors Analysis of All-cause Postoperative Death in Patients Undergoing Elective Surgery
The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after elective surgery.
- Trial name
- NCT04929886
- Where
- 5 sites in China
- Volunteers
- 1,000,000 people
- Sponsor
- Huazhong University of Science and Technology
Preeclampsia, Preeclampsia Severe
Risk Prediction Model of Preeclampsia
Preeclampsia is the main cause of increased maternal and perinatal mortality during pregnancy. Preeclampsia is mainly manifested as hypertension, urine protein, or damage symptoms of other target organs after 20 weeks of…
- Trial name
- NCT04794855
- Testing
- laboratory tests
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Peking University Third Hospital
Gastric Cancer (GC)
Recurrence and Prognosis Prediction Model for Gastric Cancer
This study, utilizing a large-scale multicenter Eastern database, has established a Deep Learning-based predictive model for recurrence following gastric cancer surgery, which demonstrates robust discriminatory power for early…
- Trial name
- NCT07243847
- Testing
- surgery and/or chemo
- Volunteers
- 5,000 people
- Sponsor
- Fudan University
Machine Learning, Acute Kidney Injury
Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery
Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication which may result in adverse impact on short- and long-term mortality.
- Conditions
- Machine Learning, Acute Kidney Injury, Renal Replacement Therapy, Prediction Models
- Trial name
- NCT04977687
- Where
- China
- Volunteers
- 2,108 people
- Sponsor
- Chinese PLA General Hospital
Thyroid Papillary Carcinoma, Contrast Enhanced Ultrasound
Preoperative Prediction of Lymph Node Metastasis in T1N0M0 Papillary Thyroid Carcinoma by Using Contrast-enhanced Ultrasound
Similarly, the burden of central lymph node metastasis affects the individualized management of patients with T1N0M0 papillary thyroid carcinoma (PTC): lymph node metastasis is a contraindication to thermal ablation; low-burden…
- Trial name
- NCT07357571
- Where
- 2 sites in China
- Volunteers
- 600 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Traumatic Brain Injury
Prediction of Neurological Outcome of Children After a Traumatic Brain Injury Based on an Integrated Predictive Model
This study aims to develop a integrated predictive model based on serum biomarkers, HRV, and an innovative computerized classifier output, to predict the patient long term neurological outcome after a moderate or severe TBI in…
- Trial name
- NCT04157634
- Testing
- Prognostication model
- Volunteers
- 70 people
- Sponsor
- St. Justine's Hospital
Bronchopulmonary Dysplasia, Right Ventricular Dysfunction
Right vEntricular Function Prediction mOdel to Identify pReterm infanTs With Early BronchoPulmonary Dysplasia.
Short title REPORT-BPD feasibility study Design A mixed methods observational cohort feasibility study Study Setting Neonatal Intensive Care Unit at University Hospitals Plymouth NHS Trust Aim To explore the feasibility of…
- Conditions
- Bronchopulmonary Dysplasia, Right Ventricular Dysfunction, In the Perinatal Period
- Trial name
- REPORT-BPD (NCT05235399)
- Testing
- Echo scans
- Where
- United Kingdom
- Volunteers
- 40 people
- Sponsor
- University Hospital Plymouth NHS Trust
Pediatric Abdominal Trauma
Pediatric Blunt Abdominal Trauma Clinical Prediction Model
The submitted proposal is designed to reduce morbidity and mortality to injured children. Significant variability in the initial trauma assessment exists among institutions.
- Trial name
- NCT02206698
- Where
- 14 sites in United States
- Volunteers
- 2,800 people
- Sponsor
- Medical University of South Carolina
Delirium
With the Development of Research, New Algorithms and Technologies Have Emerged, One of Which is Machine Learning. Machine Learning Can Extract Key Factors From Vast Amounts of Data, Identify Underlying Patterns, and Predict Future Trends. In Recent Years, Machine Learning Has Been Widely Used in
The aim of this study is to construct a predictive model for postoperative delirium in elderly patients with hip fractures. The main question it answers is to construct a risk prediction model for hip fractures in the elderly…
- Trial name
- POD (NCT07121309)
- Where
- China
- Volunteers
- 901 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Soochow University
COPD, AE COPD
Predicting Acute Exacerbations of COPD Using Wearable Devices and Remote Monitoring Technology With AI/ML Models
This study is aimed to collect real-time physiological data using two wearable devices (a biometric ring and a biometric wristband), daily lung mechanical measurements by a handheld oscillometer, and participant-reported symptoms…
- Trial name
- ePredictAECOPD (NCT06802003)
- Testing
- Biometric wearable and handheld devices
- Where
- Canada
- Volunteers
- 50 people
- Sponsor
- McGill University Health Centre/Research Institute of the McGill University Health Centre
Gliomas Harboring IDH1 and/or IDH2 Mutations, Glioma Glioblastoma Multiforme
Multicenter Prospective Study on MRI AI Model for Midline Glioma Subtyping and Prognosis:
A vision-language model using preoperative MRI and clinical variables has been developed to simultaneously predict three key molecular markers in midline gliomas: H3K27M, IDH, and 1p/19q.
- Conditions
- Gliomas Harboring IDH1 and/or IDH2 Mutations, Glioma Glioblastoma Multiforme, Glioma of Brainstem, Glioma, Diffuse Midline, H3K27M-mutant
- Trial name
- NCT07608003
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Xiangya Hospital of Central South University
Heart Failure
Future Innovations in Novel Detection of Heart Failure FIND-HF
Heart failure (HF) is increasingly common and associated with excess morbidity, mortality and healthcare costs. New medications are now available which can alter the disease trajectory and reduce clinical events.
- Trial name
- FIND-HF (NCT05756127)
- Testing
- Observational - no intervention given
- Where
- United Kingdom
- Volunteers
- 14,000 people
- Sponsor
- University of Leeds
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
Breast Cancer
The Establishment of a Survival Prediction Model for ER Positive / HER-2 Negative Advanced Breast Cancer
This project is a prospective, clinical cohort study initiated by researchers to study the high-risk factors affecting the overall survival of newly diagnosed ER + / HER2 - advanced breast cancer patients and to establish a…
- Trial name
- NCT04683757
- Testing
- Establishment of a Survival Prediction Model
- Where
- 2 sites in China
- Volunteers
- 288 people
- Sponsor
- Ying Wang
Brain Injuries, Pulmonary Embolism
Improving the Stewardship of Diagnostic Imaging Resources in Alberta Emergency Departments
Utilization of diagnostic imaging in the Emergency Department has increased dramatically over the past two decades, driven by an increased availability of advanced imaging, legal pressures to exclude serious diagnoses in low-risk…
- Trial name
- NCT02410941
- Testing
- Clinical decision support
- Where
- 16 sites in Canada
- Volunteers
- 52,058 people, healthy volunteers welcome
- Sponsor
- University of Calgary
T1 Gastric Cancer Lymph Node Metastasis Early Gastric Cancer Artificial Intelligence-Assisted Diagnosis Multimodal Data Integration
Multimodal Deep Learning for Lymph Node Metastasis Prediction and Physician Performance Assessment in T1 Gastric Cancer
This study aims to develop and validate an artificial intelligence (AI) model that integrates clinical, pathological, and imaging data to predict the presence of lymph node metastasis (LNM) in patients with T1-stage gastric…
- Trial name
- NCT07124754
- Testing
- Multimodal Artificial Intelligence Diagnostic Model for Lymph Node Metastasis in T1 Gastric Cancer
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Qun Zhao
Proliferative Diabetic Retinopathy, Pars Plana Vitrectomy
Establishment and Validation of a Risk Prediction Model for Long-term Low Vision After Vitrectomy in PDR Patients
Diabetic retinopathy (DR) is the main cause of blindness among working-age adults in the world. Proliferative diabetic retinopathy (PDR) is the severe stage of DR, which is characterized by neovascularization of the retina.
- Conditions
- Proliferative Diabetic Retinopathy, Pars Plana Vitrectomy, Risk Prediction Model
- Trial name
- NCT05631054
- Where
- China
- Volunteers
- 250 people
- Sponsor
- Tianjin Medical University Eye Hospital
Venous Thrombosis, Critical Illness
Risk Prediction of Venous Thromboembolism in Critically Ill
Introduction: Venous thromboembolism (VTE), including both deep vein thrombosis and pulmonary embolism, is a frequent cause of morbidity and mortality.
- Trial name
- NCT03773939
- Where
- Netherlands
- Volunteers
- 5,400 people
- Sponsor
- University Medical Center Groningen
Carcinoma, Renal Cell, Inferior Vena Cava Tumor Thrombus
Habitat Analysis of Tumor Thrombus for Vena Cava Wall Invasion in Renal Cell Carcinoma
Tumor thrombus in the inferior vena cava can invade the vessel wall. Doctors must know the invasion status before surgery. The status changes the surgical plan. Preoperative imaging has limited accuracy for wall invasion.
- Trial name
- HABITAT (NCT07901569)
- Where
- China
- Volunteers
- 273 people
- Sponsor
- Liu Zhuo