A5067006328- Hydrology and Drought Analysis
- Climate variability and models
- Sepsis Diagnosis and Treatment
- Hydrology and Watershed Management Studies
- Emergency and Acute Care Studies
- Hydrological Forecasting Using AI
- COVID-19 Clinical Research Studies
- Healthcare Quality and Management
- Energy Load and Power Forecasting
- Advanced Statistical Process Monitoring
- Advanced Statistical Methods and Models
- Patient Safety and Medication Errors
- COVID-19 diagnosis using AI
- Irrigation Practices and Water Management
- Medical Malpractice and Liability Issues
- Misinformation and Its Impacts
- Sentiment Analysis and Opinion Mining
- Public Relations and Crisis Communication
- Quality and Supply Management
- Water resources management and optimization
- Statistical Methods and Bayesian Inference
- Pharmaceutical Practices and Patient Outcomes
- Embedded Systems Design Techniques
- COVID-19 and healthcare impacts
- Pharmacogenetics and Drug Metabolism
University of Bradford
2016-2025
Henry Ford Hospital
2023-2025
University of Oklahoma Health Sciences Center
2025
Henry Ford Health System
2024
Oklahoma State University Oklahoma City
2024
University of Oklahoma
2024
Ocean University of China
2024
Gomal University
2024
University of Karachi
2023-2024
University of Education
2024
These days human beings are facing many environmental challenges due to frequently occurring drought hazards. It may have an effect on the countrys environment, community, and industries. Several adverse impacts of hazard continued in Pakistan, including other However, early measurement detection can provide guidance water resources management for employing mitigation policies. In this paper, we used a multilayer perceptron neural network (MLPNN) algorithm forecasting. We applied tested...
To develop a logistic regression model to predict the risk of sepsis following emergency medical admission using patient's first, routinely collected, electronically recorded vital signs and blood test results validate this novel computer-aided model, data from another hospital.Cross-sectional development external validation study reporting C-statistic based on validated optimized algorithm identify severe (including septic shock) administrative hospital databases International...
Although the National Early Warning Score (NEWS) and its latest version NEWS2 are recommended for monitoring deterioration in patients admitted to hospital, little is known about their performance COVID-19 patients. We aimed compare of NEWS with versus those without during first phase pandemic.
The quasi-Poisson regression model is used for count data and preferred over the Poisson in case of over-dispersed data. quasi-likelihood estimator to estimate coefficients model. gives sub-optimal estimates if regressors are highly correlated-multicollinearity issue. Biased estimation methods often overcome multicollinearity issue In this study, we explore ridge mitigate Furthermore, propose various parameter estimators We derive theoretical properties compare its performance with terms...
Extremes precipitation may cause a series of social, environmental, and ecological problems. Estimation frequency extreme precipitations its magnitude is vital for making decisions about hydraulic structures such as dams, spillways, dikes. In this study, we focus on regional analysis based monthly records (1999–2012) at 17 stations Northern areas Khyber Pakhtunkhwa, Pakistan. We develop methods L-moment partial L-moments (L- PL-moments). The L- PL-moments are derived generalized value (GEV),...
Drought is a complex natural hazard. Its several adverse impacts are prevailing in almost all climatic zones around the world. In this regards, drought monitoring and forecasting play vital role making mitigation policies. Therefore, tools based on probabilistic models had been developed for precise accurate inferences of severity its effects. However, risk inaccurate determination classes always exists models. To overcome issue, we proposed new system Probabilistic Weighted Joint...
A variety of drought monitoring tools are being used for early warning systems and formulating mitigation policies. Standardized Drought Indices (SDI) the most commonly used. However, use SDI at multiple stations located in a homogenous climatic region with internally similar characteristics contagious space arises several problems due to spatial temporal behaviour data preliminaries. Therefore, comprehensive procedure is required accumulate information coming from stations. In this paper,...
Abstract Background The Patient Safety Huddle (PSH) is a brief multidisciplinary daily meeting held to discuss threats patient safety and actions mitigate risk. Despite growing interest application of huddles as mechanism for improving safety, evidence their impact remains limited. There also variation in how are conceived implemented with insufficient focus on fidelity (the extent which delivered planned) potential ways they might influence outcomes. Up Safer Healthcare (HUSH) project...
The negative binomial regression model (NBRM) is popular for modeling count data and addressing overdispersion issues. Generally, the maximum likelihood estimator (MLE) used to estimate NBRM coefficients. However, when explanatory variables in are correlated, MLE yields inaccurate estimates. To tackle this challenge, we propose a James–Stein NBRM. matrix mean squared error (MSE) scalar MSE properties derived compared with other estimators, including ridge (RE), Liu (LE), MLE. We assess...
ABSTRACT Background and Aims Polyps located in less accessible areas of the colon, such as inner curves flexures, are often difficult to visualize. Colonoscope attachments Endocuff have been developed improve visualization these polyps. We aimed assess utility Endocuff‐assisted colonoscopy (EAC) detection tubular adenomas sessile serrated polyps (SSP) compared conventional during routine colorectal cancer screening. Patients Methods This retrospective cohort study included patients who...