A MACHINE LEARNING CLINICAL DECISION SUPPORT TOOL FOR MYOCARDIAL INFARCTION DIAGNOSIS
نویسندگان
چکیده
منابع مشابه
A clinical decision support system for contact lens evaluation
Background: Contact lenses are transparent, thin plastic disks that cover the surface of the cornea. Appropriate lens prescription should be performed properly by an expert to provide better visual acuity and reduce side effects. The lens administration is a multi-stage, complex and time-consuming process involving many considerations. The purpose of this study was to develop a decision support...
متن کاملRapid Diagnosis of Acute Myocardial Infarction
To improve the specificity of biochemical markers of myocardial infarction (MI) a method to measure cardiac troponin-I (CTn-I) was developed. CTn-I is a protein unique to cardiac muscle and is released after MI. Consecutive 150 patients admitted to the coronary care unit was studied. Value of CTn-I was determined in all samples. CTn-I concentration in the MI patients group was increased com...
متن کاملUsing Wavelet Support Vector Machine for Fault Diagnosis of Gearboxes
Identifying fault categories, especially for compound faults, is a challenging task in mechanical fault diagnosis. For this task, this paper proposes a novel intelligent method based on wavelet packet transform (WPT) and multiple classifier fusion. An unexpected damage on the gearbox may break the whole transmission line down. It is therefore crucial for engineers and researchers to monitor the...
متن کاملA machine learning decision support system for collaborative design
The copyright law of the United States (title 17, U.S. Code) governs the making of photocopies or other reproductions of copyrighted material. Any copying of this document without permission of its author may be prohibited by law. Abstract The research described in this paper is motivated by the complexity surrounding the development of decision support systems (DSSs) for collaborative design p...
متن کاملA Decision Support Tool for Tuning Parameters in aMachine Learning
Many machine learning algorithms require parameter tuning in order to adapt them to the particulars of a training set. This tuning task can be an expert task in its own right. Based on our observations of an expert tuning the HCV (Version 2.0) rule induction algorithm, we have built a simple decision support system (DSS) to automate tuning for that algorithm. We found that HCV plus DSS produced...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the American College of Cardiology
سال: 2021
ISSN: 0735-1097
DOI: 10.1016/s0735-1097(21)02012-x