Browsing by Author "Bahadur, Issam"
Now showing items 1-5 of 5
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Artificial Intelligence in Predicting Heart Failure
Al-Mannai, Rashid Ebrahim; Almerekhi, Mohammed Hamad; Al-Mannai, Mohammed Abdulla; N, Mishahira; Sadasivuni, Kishor Kumar; Yalcin, Huseyin Cagatay; Ouakad, Hassen M.; Bahadur, Issam; Al-Maadeed, Somaya; Albusaidi, Asiya... more authors ... less authors ( Qatar University Press , 2021 , Poster)Heart Failure is a major chronic disease that is increasing day by day and a great health burden in health care systems world wide. Artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL), ... -
Colorimetry-based Detection of Exhaled Breath Biomarkers for Predicting Heart Failure
Kallingal, Nithusha; Sadasivuni, Kishor Kumar; Bahadur, Issam; Yalcin, Huseyin Cagatay; Al-Busaidi, Asiya; Ouakad, Hassen M.; Al-Maadeed, Somaya... more authors ... less authors ( Qatar University Press , 2021 , Poster)The exhaled breath volatile organic compounds (VOC's) represent a biosignature with the potential to identify and describe heart failure diseases. Exhaled Breath biomarkers-based diagnosis of heart diseases may be easier ... -
A highly sensitive wearable pressure sensor capsule based on PVA/Mxene composite gel
Kallingal, Nithusha; Maurya, Muni Raj; Sajna, M. S.; Yalcin, Huseyin Cagatay; Ouakad, Hassen M.; Bahadur, Issam; Al-Maadeed, Somaya; Sadasivuni, Kishor Kumar... more authors ... less authors ( Springer , 2022 , Article)Wearable sensors have drawn considerable interest in the recent research world. However, simultaneously realizing high sensitivity and wide detection limits under changing surrounding environment conditions remains ... -
A New Deep Learning Method for Accurate Cardiac Heart Failure Prediction from RR Interval Measurements
N, Mishahira; Nair, Gayathri Geetha; Houkan, Mohammad Talal; Sadasivuni, Kishor Kumar; Geetha, Mithra; Al-Maadeed, Somaya; Albusaidi, Asiya; Subramanian, Nandhini; Yalcin, Huseyin Cagatay; Ouakad, Hassen M.; Bahadur, Issam... more authors ... less authors ( IEEE , 2022 , Conference Paper)cardiovascular diseases are the major cause of death worldwide. Early detection of heart failure will assist patients and medical professionals in taking better precautions to reduce risks. The objective of this study is ... -
A review of smart sensors coupled with Internet of Things and Artificial Intelligence approach for heart failure monitoring
Maurya, Muni Raj; Riyaz, Najam U.S.Sahar; Reddy, M. Sai Bhargava; Yalcin, Huseyin Cagatay; Ouakad, Hassen M.; Bahadur, Issam; Al-Maadeed, Somaya; Sadasivuni, Kishor Kumar... more authors ... less authors ( Springer Nature , 2021 , Article)Over the last decade, there has been a huge demand for health care technologies such as sensors-based prediction using digital health. With the continuous rise in the human population, these technologies showed to be ...