Clinical trials: Prediction Model
Breast Neoplasms
Breast Cancer Chemotherapy Risk Prediction Mathematical Model
This is a cohort study. This study is to develop a predictive model of the side effects after chemotherapy, exploreing the potential risk factors of the side effects such as myelosuppression and chemotherapy realted vomit after…
- Trial name
- BCCRPMM (NCT02547545)
- Where
- China
- Volunteers
- 795 people
- Sponsor
- First Affiliated Hospital Xi'an Jiaotong University
NO CONDITIONS
Improving Ultrasound Based Prediction of Delivery Mode
The progress of labour is traditionally determined by regular vaginal examinations (VEs) to assess the cervix (neck of the womb) and the baby's head position.
- Trial name
- NCT04635410
- Testing
- ULTRASOUND IMAGING
- Where
- United Kingdom
- Volunteers
- 240 people, healthy volunteers welcome
- Sponsor
- Imperial College London
Atherosclerosis, Prediction Model
Metabolomics Characterization of Biomarkers of ASCVD and Prediction Model
1. Describe the risk factors and metabonomics characteristics of atherosclerotic cardiovascular disease in Chinese patients. 2. Establish accurate prediction model of atherosclerotic heart disease.
- Trial name
- MEAL (NCT05148182)
- Where
- 2 sites in China
- Volunteers
- 1,869 people, healthy volunteers welcome
- Sponsor
- Shanghai 10th People's Hospital
Acute Type A Aortic Dissection
A Prediction Model of Prolonged Mechanical Ventilation Following Acute Type A Aortic Dissection Surgery
The goal of this observational study is to develop and validate a predictive model for prolonged mechanical ventilation (PMV) following acute type A aortic dissection (ATAAD) surgery. The main questions it aims to answer are: 1.
- Trial name
- NCT06929780
- Where
- China
- Volunteers
- 1,400 people
- Sponsor
- China-Japan Friendship Hospital
Serious Mental Illness, Type 2 Diabetes
MetSense Pilot and Feasibility
People with serious mental illness have high risk for type 2 diabetes due to multiple risk factors, including the metabolic side effects of psychotropic medications that are used to treat these conditions.
- Trial name
- MetSenseP&F (NCT07264062)
- Testing
- MetSense Risk Flag, Usual Care
- Where
- United States
- Volunteers
- 20,000 people
- Sponsor
- Kaiser Permanente
Adult Congenital Heart Disease, Cardiac Surgery
Multicenter Validation of a Predictor Model of ACHD Patients and Cardiac Surgery
This multicentre study is to validate prediction modeling for the ACHD population undergoing cardiac surgery. The validation of this prediction model will support and generalize its use as a risk stratification tool in the ACHD…
- Trial name
- NCT04787705
- Where
- Canada
- Volunteers
- 547 people
- Sponsor
- University Health Network, Toronto
Lung Cancer (Diagnosis), COPD (Chronic Obstructive Pulmonary Disease)
Risk-Based Lung Cancer Detection in COPD Patients
The goal of the interventional study is to evaluate whether risk-based stratification using the PLCOm2012 model and a machine learning (ML) model can identify patients with chronic obstructive pulmonary disease (COPD) who are at…
- Trial name
- ELUCID (NCT07848815)
- Testing
- Risk-based prediction models
- Where
- Denmark
- Volunteers
- 1,000 people
- Sponsor
- Vejle Hospital
Difficult Airway, Difficult Airway Intubation
Examining the Effects of Anthropometric Measurements on Difficult Airway Prediction
Airway-related complications are among the leading causes of anesthesia-associated morbidity and mortality. Therefore, the ability to predict difficult mask ventilation, laryngoscopy, and intubation before induction is essential…
- Conditions
- Difficult Airway, Difficult Airway Intubation, Airway Management
- Trial name
- NCT07077317
- Testing
- Airway Assessment Using Standard Clinical Tools
- Where
- Turkey (Türkiye)
- Volunteers
- 1,044 people
- Sponsor
- Kutahya Health Sciences University
Cervical Intraepithelial Neoplasia
Factors Associated With Residual Disease In The Central Cone
Cervical conization using the loop electrosurgical excision procedure (LEEP) is the standard treatment for patients with high-grade cervical intraepithelial neoplasia.
- Trial name
- FARDCC (NCT03788850)
- Volunteers
- 397 people
- Sponsor
- National Institute of Cancerología
Deep Learning, Artificial Intelegence
Development of a Scoring and Prediction Model for Weaning Success in ARDS Patients Using Ventilation Parameters Combined with Artificial Intelligence and Deep Learning Techniques
This study aims to develop an AI-supported scoring model to optimize the weaning processes of ARDS patients from mechanical ventilation.
- Conditions
- Deep Learning, Artificial Intelegence, ARDS (Acute Respiratory Distress Syndrome)
- Trial name
- NCT06751693
- Where
- Turkey (Türkiye)
- Volunteers
- 25,000 people
- Sponsor
- Bakirkoy Dr. Sadi Konuk Research and Training Hospital
AKI - Acute Kidney Injury
Risk Factors and Deep Learning Model for CI-AKI
Contrast-associated acute kidney injury (CI-AKI) is a sudden and significant decline in renal function resulting from the use of a contrast agent.
- Trial name
- NCT06596785
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Xiao Li，MD
Prostate Cancer, Risk Assessment
PROstate Cancer Risk Calculator for ACTionable Clinical Decision-making in Nigeria
This study is a pilot trial that builds on findings from the validation of prostate cancer risk calculators in Nigerian men. The goal of the overall study is to improve the early detection of prostate cancer in a high-risk…
- Conditions
- Prostate Cancer, Risk Assessment, Clinical Decision Support Systems, Predictive Value of Tests
- Trial name
- PROACT (NCT07733440)
- Testing
- (a) Training and (b) Supported risk assessment
- Where
- Nigeria
- Volunteers
- 89 people, healthy volunteers welcome
- Sponsor
- Ahmadu Bello University
ARDS (Acute Respiratory Distress Syndrome), AI (Artificial Intelligence)
Exploration of Diagnosis and Treatment Strategies and Prognostic Prediction Models for Acute Respiratory Distress Syndrome Based on Radiographic Evaluations Assessed by Artificial Intelligence
By using multi-center chest CT data, an intelligent assessment model for the severity of ARDS was constructed. Based on CT quantitative features and clinical characteristics, a prediction model for short-term critical events…
- Trial name
- NCT07328997
- Testing
- CT scan
- Where
- China
- Volunteers
- 400 people
- Sponsor
- Shanghai Zhongshan Hospital
ECMO
To Construct a Prognosis Prediction Model for ECMO Patients Based on Machine Learning Algorithms
Extracorporeal membrane oxygenation (ECMO) is a critical life-support technique for patients with severe medical conditions. Various factors affect the mortality rates of patients in intensive care units, presenting a significant…
- Trial name
- NCT06654388
- Where
- China
- Volunteers
- 290 people
- Sponsor
- Zhujiang Hospital
Cancer
Suicide Risk Prediction in Cancer Patients
Previous studies have found that the suicide risk of cancer patients is influenced by socioeconomic factors, clinical characteristics, and environmental factors.
- Trial name
- NCT06167720
- Where
- China
- Volunteers
- 176,000 people
- Sponsor
- Fang Tang
Hypertension
A Cluster-Randomized Trial of a Hypertension Risk Model-Based Precision Intervention in High-Risk Adults in Shunyi District
This community cluster-randomized controlled trial aims to evaluate the effectiveness of a hypertension risk model-based precision intervention among adults at high risk of developing hypertension in Shunyi District, Beijing…
- Trial name
- NCT07804420
- Testing
- Hypertension Risk Model-Based Precision Intervention, Standard Health Education
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Peking University
Crohn Disease (CD), Postoperative Recurrence and Metastasis
Prediction of Postoperative Recurrence in Crohn's Disease
This multicenter prospective observational cohort study aims to develop and validate a multimodal prediction model for postoperative recurrence in patients with Crohn's disease.
- Trial name
- NCT07824791
- Testing
- Intestinal Resection, Biospecimen Collection
- Where
- China
- Volunteers
- 250 people
- Sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
Crohn Disease (CD), Dynamic Prediction Model
Development of a Dynamic Prediction Model for Crohn's Disease-Related Intestinal Surgery Using Longitudinal Indices of Routine Blood Tests: A Single-Center Retrospective Cohort Study
This single-center retrospective cohort study aims to develop and internally validate a dynamic prediction model that uses longitudinal data from routinely collected blood tests to continuously assess the risk of Crohn's disease…
- Trial name
- NCT07644390
- Volunteers
- 500 people
- Sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
Decision Support Systems, Clinical, Prostate Cancer
Pioneering Advances in Care and Education (PACE)
This clinical trial evaluates the use of novel decision support educational materials and services using health coaches. The study includes men newly diagnosed with low-risk prostate cancer. A 160 men will be recruited.
- Trial name
- PACE (NCT03397160)
- Testing
- Decision Support Intervention (DSI)
- Where
- 4 sites in United States
- Volunteers
- 119 people
- Sponsor
- University of California, San Francisco
Coronary Artery Disease, Chest Pain
Artificial Intelligence Stress Echo (FINESSE) Project
The goal of this observational study is to learn whether combining stress echocardiography (stress echo) results with routine clinical information can better predict important heart outcomes in adults (18+) with chest pain who…
- Conditions
- Coronary Artery Disease, Chest Pain, Myocardial Ischemia, Angina Pectoris
- Trial name
- FINESSE (NCT07432620)
- Testing
- Dobutamine Stress Echocardiography
- Where
- United Kingdom
- Volunteers
- 2,281 people
- Sponsor
- Milton Keynes University Hospital NHS Foundation Trust