Omer Ali

May 30, 2024 | bjgp.org | Erica di Martino |Stephanie Honey |Stephen Bradley |Omer Ali

AbstractBackground Cancer incidence increases with age, so some clinical guidelines include patient age as one of the criteria used to decide whether a patient should be referred through the urgent suspected cancer (USC) pathway. Little is known about how strictly GPs adhere to these age criteria and what factors might influence their referral decisions for younger patients.

Apr 29, 2024 | bjgp.org | Erica di Martino |Stephanie Honey |Stephen Bradley |Omer Ali

agecancergeneral practiceguidelinesreferralIntroductionCancer diagnosis in younger patients is challenging. The incidence of some malignancies, such as colorectal cancer, in younger patients is steadily increasing worldwide,1–3 with a 2023 study indicating a 28% rise in mortality due to early-onset cancer in 2019 compared with 1990.3 However, most types of cancers remain uncommon in people aged <50 years.

Feb 6, 2024 | jamanetwork.com | Chika Uzoigwe |Harcourt House |Omer Ali |Sarah Horvath

Induced Abortion and the Risk of Rh Sensitization Sarah Horvath, MD, MSHP; Zhen-Yu Huang, MD, PhD; Nathanael C. Koelper, MPH; Christian Martinez, BA; Patricia Y. Tsao, MD, PhD; Ling Zhao, MD, PhD; Alisa B. Goldberg, MD, MPH; Curtiss Hannum, MSN; Mary E. Putt, PhD, ScD; Eline T. Luning Prak, MD, PhD; Courtney A. Schreiber, MD, MPH Rh Sensitization and Induced Abortion—Reply Sarah Horvath, MD, MSHP; Courtney A. Schreiber, MD, MPH; Eline T.

Oct 24, 2023 | mdpi.com | Omer Ali |Qamar Abbas |Khalid Mahmood |Ernesto Bautista Thompson

1. IntroductionParticle swarm optimization (PSO) was initially introduced by Kennedy and Eberhart [1]. PSO is a simple stochastic searching technique for optimization that is motivated by the ordinary swarming comportment of bird clustering and fish schooling. The performance of PSO in finding virtuous solutions for optimization problems is very good. The PSO algorithm has the advantage of fast convergence, easy code implementation, less computational complexity, and few parameter adjustments [2,3].

Oct 19, 2023 | mdpi.com | Ömer Karaman |Omer Ali |Ö. Ali

2.2. Proposed Model ArchitectureThe predictive performance of the intended models was evaluated using two data sets. The first data set pertains to internal wind turbine data, while the second comprises external weather-related data. These two data sets were merged to create a final data set with 8760 observations. The initial data set consisted of 50,530 samples, with 2030 missing data instances identified. The missing data was successfully imputed using the kNN algorithm to address this.