KCT0005608尚未招募未知
Development of a prediction models for clinical outcomes of patients with peritoneal dialysis based on home-based monitoring : Using deep learning methods
适应症
试验速览
- 阶段
- 未知
- 状态
- 尚未招募
- 入组人数
- 100
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational Study
入排标准
- 年龄范围
- 19(Year) 至 o Limit（—）
- 性别
- All
入选标准
- •Those who have the ability to consent in writing to the research among patients undergoing automatic peritoneal dialysis
排除标准
- •Patients who disagree with collecting clinical information
研究者
相似试验
已完成
不适用
Establishment of clinical prediction models using machine learning techniques and predictive factors to predict adverse drug events in patients treated with dolutegravir-based anti-retroviral agentsHIV-infected patients under a DTG-based regimenadverse drug events, dolutegravir, machine learning, prediction model, HIVsTCTR20230904001Pakchongnana Hospital840
已完成
不适用
Development of a clinical prediction model for infective endocarditis among patients with undiagnosed fever: Multi-center based retrospective observational study.Infective endocarditis/fever of unknown originJPRN-UMIN000042965Department of General Medicine, Saga University Hospital, Japan320
尚未招募
不适用
Establishing a clinical prediction model for recurrent endometriosispelvic painReproductive Health and Childbirth - Other reproductive health and childbirth disordersReproductive Health and Childbirth - Menstruation and menopauseendometriosisACTRN12621000793819niversity of Melbourne500
尚未招募
Unknown
Development of a prognostic model to predict core outcome in older adults with hip fracturesHip fractureJPRN-UMIN000051376Hidaka Rehabilitation Hospital400
招募中
不适用
Establishment of the method for predicting clinical effect of tocilizumab based on its serum concentration in rheumatoid arthritis patientsrheumatoid arthritisJPRN-UMIN000041153Department of Hospital pharmacy Hamamatsu University School of Medicine50