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Arshiya Fatima
Institution:
Shifa International Hospital
Observed institutions:
Shifa Tameer-e-Millat University,
Shifa International Hospital
ORCID:
0000-0002-3879-0461
Observed ORCID:
0000-0002-3879-0461
OpenAlex ID:
A5083875779
Clinical efficacy of Azithromycin for COVID-19 management: A systematic meta-analysis of meta-analyses
2023
·
Ali Danish Khan Yousafzai
, Ali Haider Bangash
, et al.
·
Heart & Lung
·
11
PDF
Amalgamation of Auto Machine Learning and Ensemble Approaches to Achieve State-of-the-Art Post-Heart Failure Survival Predictions
2021
·
Ali Haider Bangash
, Ali Haider Shah
, et al.
·
American Heart Journal
·
3
Prediction of In-Hospital Mortality Among Heart Failure Patients: An Automated Machine Learning Analysis of Mimic-III Database
2022
·
Aliya Ali
, Saleha Yurf Asghar
, et al.
·
American Heart Journal
·
2
Leveraging Automated Machine Learning to provide NAFLD screening diagnosis: Proposed machine learning models
2022
·
Ali Haider Shah
, Ali Haider Bangash
, et al.
·
Metabolism
·
2
Incorporating Ensembled Stacked Approach into Automated Machine Learning in an Attempt to Predict Acute Ischemic Heart Disease in Patients with Atypical Chest Pain: Secondary Analysis of a Single-Center Retrospective Cohort Study
2022
·
Hashir Fahim Khawaja
, Aliya Ali
, et al.
·
American Heart Journal
·
1
Peripheral Neuropathy in Parkinsonism & Parkinson's Disease patients : Prediction by incorporation of Ensemble approach into Automated machine learning
2022
·
Ayesha khalid
, Ali Haider Bangash
, et al.
·
OSF Preprints (OSF Preprints)
·
1
PDF
Reflections on the interpretation of I2 statistic
2021
·
Ali Haider Bangash
, Arshiya Fatima
, et al.
·
Reviews in Medical Virology
·
1
Cancer Metabolism: Recent Advances in Biochemical Mechanisms and Targeted Therapeutic Strategies
2026
·
Arshiya Fatima
, Mohammed Abdul Muqeeth
, et al.
·
International Journal of Medical and Biomedical Studies
PDF
Artificial Intelligence-Driven Biomarker Discovery in Clinical Biochemistry: Opportunities and Challenges
2026
·
Koneru Maanasa
, Arshiya Fatima
, et al.
·
International Journal of Medical and Biomedical Studies
PDF
Diagnostic Accuracy of Serum Free Light Chains in Patients with Suspected Central Nervous System Disorders: A Retrospective Observational Study
2026
·
Mohammed Abdul Muqeeth
, Koneru Maanasa
, et al.
·
International Journal of Medical and Biomedical Studies
PDF
To Compare Outcomes of Staples Versus Subcuticular Sutures for Skin Closure in Obese Women Undergoing Cesarean Section
2026
·
Azra Parveen Rajpar
, Aamna Sharmin
, et al.
·
International Journal of Medicine and Public Health
PDF
Q-Wave Myocardial Infarction & Stroke in Patients Managed Interventionally for Left Main Coronary Artery Disease: Prediction by Incorporation of Ensemble Approach into Automated Machine Learning
2022
·
Ali Danish Khan Yousafzai
, Saleha Yurf Asghar
, et al.
·
American Heart Journal
Yurf-Bangash-Yousafzai Augur: Proposal of Carotid Plaque Formation Predictor Among General Population by Exploration of State-Of-The-Art for Automated Machine Learning
2022
·
Saleha Yurf Asghar
, Ali Haider Bangash
, et al.
·
American Heart Journal
The Post-systolic shortening index, Mechanical Dispersion Index & Left Ventricular Global Longitudinal Strain: Associative prediction by incorporation of Ensemble Approach into Automated Machine Learning
2022
·
Syed Mohammad Mehmood Abbas
, Hashir Fahim Khawaja
, et al.
·
OSF Preprints (OSF Preprints)
Post-Spinal Cord Injury AIS Score improvement: An Automated Machine Learning analysis on the TRACK-SCI Cohort
2022
·
Ali Danish Khan
, Ali Haider Bangash
, et al.
·
OSF Preprints (OSF Preprints)
Prediction of outcomes of poor-grade subarachnoid haemorrhage : Exploration of Automated Machine Learning
2022
·
Hashir Fahim Khawaja
, Saleha Yurf
, et al.
·
OSF Preprints (OSF Preprints)
Quality of life of pediatric brain tumour patients : Prediction by incorporation of Ensemble approach into Automated machine learning
2022
·
Ali Haider Shah
, Tauseef Ullah
, et al.
·
OSF Preprints (OSF Preprints)
Mortality of astrocytic brain tumours influenced by proteasomal activity : Prediction by incorporation of Ensemble approach into Automated machine learning
2022
·
Ali Haider Bangash
, Tauseef Ullah
, et al.
·
OSF Preprints (OSF Preprints)
Mortality among hospitalised COVID-19 patients : Prediction by incorporation of Ensemble stacked approach into Automated machine learning
2022
·
Hashir Fahim Khawaja
, Ali Haider Bangash
, et al.
·
OSF Preprints (OSF Preprints)
PDF
Ensemble stacked approach incorporated into automated machine learning predicts the risk of surgical site infection after complex instrumental spinal surgeries
2021
·
Ali Haider Bangash
, Tauseef Ullah
, et al.
·
OSF Preprints (OSF Preprints)
Incorporating Ensemble approach into Automated Machine Learning in an attempt to predict Cerebral Infarction in patients presenting with Subarachnoid Hemorrhage : Secondary analysis of a novel exploration
2021
·
Ali Haider Bangash
, Tauseef Ullah
, et al.
·
OSF Preprints (OSF Preprints)
Incorporating Ensemble approach into Automated Machine Learning in an attempt to predict the Risk of Postoperative Delirium After Deep Brain Stimulation Surgery in Parkinson's Disease Patients : Secondary analysis of a retrospective cohort study
2021
·
Ali Haider Bangash
, Tauseef Ullah
, et al.
·
OSF Preprints (OSF Preprints)
Prediction of Overall survival and Progression-free survival for Glioblastoma Multiforme treated with a moderately escalated radiation dose - Amalgamating Ensembled approach into Automated Machine Learning
2021
·
Ali Haider Bangash
, Tauseef Ullah
, et al.
·
OSF Preprints (OSF Preprints)
Predicting Alzheimer's disease from Clinical Dementia Rating, Estimated total intracranial volume & Atlas Scaling Factor : Incorporating Ensemble approach into Automated Machine Learning
2021
·
Ali Haider Bangash
, Tauseef Ullah
, et al.
·
OSF Preprints (OSF Preprints)
Clinical efficacy of Azithromycin for COVID-19 management: A meta-analysis of meta-analyses
2021
·
Ali Haider Bangash
, Arshiya Fatima
, et al.
·
OSF Preprints (OSF Preprints)
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Works count:
28
Citation count:
21
H-index:
2
I10-index:
1
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