Objective: To assess fetomaternal outcome in elderly pregnancy. Material and Methods: This was a prospective cohort study involving 102 pregnant women> 32 weeks of gestation, with 51 participants in each of the two groups: one group of women aged ≥35 years (case group) and another group of women aged <35 years (control group). Results: In the case group, 28 participants (54.9%) developed pregnancy-induced hypertension, compared to only 7 participants (13.7%) in the control group (p = 0.001). Gestational diabetes mellitus was observed in 12 participants (23.5%) in the case group, while only 1 participant (2.0%) in the control group was affected (p = 0.001). The mean gestational period in the case group was 37.04 ± 1.95 weeks, whereas the control group had a mean gestational period of 38.82 ± 1.67 weeks (p = 0.001). Additionally, 34 participants (66.7%) in the case group underwen...

so, machine learning techniques are being developed to improve performance and maintenance prediction. Increasing our knowledge of the relationship between humans and algorithms, Because data is so valuable, improving strategies for intelligently having to manage the now-ubiquitous content infrastructures is a necessary part of the process toward completely autonomous agents. Numerous researchers recently developed numerous computer-aided diagnostic algorithms employing various supervised learning approaches. Early identification of sickness may help to reduce the number of people who die as a result of these illnesses. Using machine learning techniques, this research creates an efficient automated illness diagnostic algorithm. We chose three key disorders in this paper: coronavirus, cardiovascular diseases, and diabetes. The data are inputted into a mobile application in the suggested m...