跳至主要内容
临床试验/CTRI/2023/05/052610
CTRI/2023/05/052610尚未招募Unknown

Development of machine learning models to improve the accuracy of diagnosis and prognostication in ischemic heart disease

Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal0 个研究点目标入组 0 人开始时间: 待定最近更新:

试验速览

阶段
Unknown
状态
尚未招募
发起方

研究概览

简要总结

暂无简介。

研究设计

研究类型
Observational

入排标准

入选标准

  • Ischemic heart disease (IHD) patients or those with symptoms suggestive of IHD visiting the cardiology department as outpatients or inpatients

排除标准

  • 1. Critically ill patients with cardiogenic shock or acute pulmonary edema.
  • 2. Pregnant women.
  • 3. End-stage renal disease.
  • 4. Terminal illnesses like cancer.
  • 5. Patients who refuse to give consent.

研究者

发起方
Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal

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