Zobrazeno 1 - 10 of 34 pro vyhledávání: '"Syed Waseem Abbas"'
1
Akademický článek
A cost-sensitive deep neural network-based prediction model for the mortality in acute myocardial infarction patients with hypertension on imbalanced data
Autor: Huilin Zheng, Syed Waseem Abbas Sherazi, Jong Yun Lee
Publikováno v: Frontiers in Cardiovascular Medicine, Vol 11 (2024)
Background and objectivesHypertension is one of the most serious risk factors and the leading cause of mortality in patients with cardiovascular diseases (CVDs). It is necessary to accurately predict the mortality of patients suffering from CVDs with
Externí odkaz: https://doaj.org/article/d0b134e61f5d44078a77e706cc3992fe
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2
Akademický článek
A Stacking Ensemble Prediction Model for the Occurrences of Major Adverse Cardiovascular Events in Patients With Acute Coronary Syndrome on Imbalanced Data
Autor: Huilin Zheng, Syed Waseem Abbas Sherazi, Jong Yun Lee
Publikováno v: IEEE Access, Vol 9, Pp 113692-113704 (2021)
The major adverse cardiovascular events (MACE) often occur with high morbidity and mortality globally. It is very important to predict the MACE occurrences accurately in patients with acute coronary syndrome (ACS). Therefore, this paper proposes a st
Externí odkaz: https://doaj.org/article/dbe053003214423e9dee25b35277e127
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3
Akademický článek
A Machine Learning-Based Applied Prediction Model for Identification of Acute Coronary Syndrome (ACS) Outcomes and Mortality in Patients during the Hospital Stay
Autor: Syed Waseem Abbas Sherazi, Huilin Zheng, Jong Yun Lee
Publikováno v: Sensors, Vol 23, Iss 3, p 1351 (2023)
Nowadays, machine learning (ML) is a revolutionary and cutting-edge technology widely used in the medical domain and health informatics in the diagnosis and prognosis of cardiovascular diseases especially. Therefore, we propose a ML-based soft-voting
Externí odkaz: https://doaj.org/article/2ae14626c9c9404696924bee2934db3d
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4
Akademický článek
A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndrome.
Autor: Syed Waseem Abbas Sherazi, Jang-Whan Bae, Jong Yun Lee
Publikováno v: PLoS ONE, Vol 16, Iss 6, p e0249338 (2021)
ObjectiveSome researchers have studied about early prediction and diagnosis of major adverse cardiovascular events (MACE), but their accuracies were not high. Therefore, this paper proposes a soft voting ensemble classifier (SVE) using machine learni
Externí odkaz: https://doaj.org/article/af8e887fc888409bac96bb8e81bf06d9
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5
Akademický článek
A Deep Convolutional Neural Network-Based Multi-Class Image Classification for Automatic Wafer Map Failure Recognition in Semiconductor Manufacturing
Autor: Huilin Zheng, Syed Waseem Abbas Sherazi, Sang Hyeok Son, Jong Yun Lee
Publikováno v: Applied Sciences, Vol 11, Iss 20, p 9769 (2021)
Wafer maps provide engineers with important information about the root causes of failures during the semiconductor manufacturing process. Through the efficient recognition of the wafer map failure pattern type, the semiconductor manufacturing process
Externí odkaz: https://doaj.org/article/6221251716fe4c05bd01c646c81a3395
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6
Akademický článek
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7
Akademický článek
A Machine Learning-Based Applied Prediction Model for Identification of Acute Coronary Syndrome (ACS) Outcomes and Mortality in Patients during the Hospital Stay.
Autor: Sherazi, Syed Waseem Abbas1 (AUTHOR), Zheng, Huilin1 (AUTHOR), Lee, Jong Yun1 (AUTHOR) jongyun@chungbuk.ac.kr
Publikováno v: Sensors (14248220). Feb2023, Vol. 23 Issue 3, p1351. 21p.
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9
EPISTAXIS: A STUDY TO DETERMINE ETIOLOGIES AND MANAGEMENT IN A TERTIARY HEALTH CARE UNIT IN KASHMIR, INDIA
Autor: Majid Ul Islam Masoodi, Javaid Naikoo, Syed Waseem Abbas
Publikováno v: PARIPEX INDIAN JOURNAL OF RESEARCH. :155-157
Background: Epistaxis is one of the most common medical emergencies worldwide,with almost 60% of the population experiencing it at some point in their life.Our study aimed to understand the etiology and management in OPD and nonsurgical IPD settings.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f6e8bd73b5c18f3792fabcf04c6b9a5f
https://doi.org/10.36106/paripex/7609527
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10
RISK FACTORS INVOLVED IN RECURRENCE OF CHRONIC RHINOSINUSITIS AFTER FUNCTIONAL ENDOSCOPIC SINUS SURGERY IN KASHMIRI POPULATION
Autor: Syed Waseem Abbas, Owais Makhdoomi, Auqfeen Nisar, Ihsan Ali
Publikováno v: PARIPEX INDIAN JOURNAL OF RESEARCH. :141-143
BACKGROUND: Chronic rhinosinusitis (CRS) is one of the most common chronic diseases, which is defined as an inflammation of the nose and paranasal sinuses. Computed tomography (CT) scan of paranasal sinuses has become mandatory for all patients under
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::180dd7f6df3ded71d868ef3e949b9cbd
https://doi.org/10.36106/paripex/1510968
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