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Machine Learning | Diagnosis of Acute Coronary Syndrome | ECG
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Author and Presenter: Anber Shahjehan
Background:
Acute Coronary Syndrome (ACS) is a cardiac disorder which has a major impact on deciding the mortality and morbidity rate. There is a need for early diagnosis of this heart disease using some accurate and non-invasive means. In this research, Electrocardiogram (ECG) signals are used to predict ACS by using signal analysis and machine learning techniques.
#MachineLearningProject
#MachineLearningResearch
#DetectionofAcuteCoronarySyndrome
#DiagnosisofAcuteCoronarySyndrome
#ECGbasedDetectionofACS
#ACS
#IntellCity
Background:
Acute Coronary Syndrome (ACS) is a cardiac disorder which has a major impact on deciding the mortality and morbidity rate. There is a need for early diagnosis of this heart disease using some accurate and non-invasive means. In this research, Electrocardiogram (ECG) signals are used to predict ACS by using signal analysis and machine learning techniques.
#MachineLearningProject
#MachineLearningResearch
#DetectionofAcuteCoronarySyndrome
#DiagnosisofAcuteCoronarySyndrome
#ECGbasedDetectionofACS
#ACS
#IntellCity
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