EXPERT DIAGNOSTIC SYSTEM FOR DETECTION OF HYPERTENSION AND DIABETES MELLITUS USING DISCRETE WAVELET DECOMPOSITION OF PHOTOPLETHYSMOGRAM SIGNAL AND MACHINE LEARNING TECHNIQUE

Expert diagnostic system for detection of hypertension and diabetes mellitus using discrete wavelet decomposition of photoplethysmogram signal and machine learning technique

Hypertension is a leading risk factor for cardiovascular sunglasses disease (CVD) and the overlap of diabetes mellitus (DM) with hypertension can lead to severe complications.There is a need for early diagnosis and risk stratification to implement an overall risk management strategy.Presently, the conventional method is not suitable for large-scale

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The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19).

Background and aimsThe coronavirus disease 2019 (COVID-19) public health emergency has had a huge impact worldwide.We analyzed news headlines and keywords from the initial period of COVID-19, and explored the dissemination timeline of news related to the epidemic, and the impact of Internet-based media on the public using lifecycle theory and agend

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Generalized additive model with embedded variable selection for bankruptcy prediction: Prediction versus interpretation

This paper explores the properties of using a generalized additive model with embedded variable selection for the prediction Calcium Citrate of bankruptcy.The main purpose is to explore an innovative way to close the gap between interpretation and prediction that has prevented widespread use of methods based on machine learning.An additive model en

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