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Impact of preterm birth and low birth weight on medical conditions, medication use and mortality among neonates: a prospective observational cohort study

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World Journal of Pediatrics 2019年第3期15卷 281-288页

作者： Krishna Undela bashar talal saad mohammed Parthasarathi Gurumurthy Srinivasa Murthy Doreswamy Department of Pharmacy Practice JSS College of Pharmacy.JSS Academy of Higher Education and ResearchSS NagaraMysuru.Karnataka 570 015.India Department of Pediatrics JSS Medical College and Hospital.JSS Academy of Higher Education and ResearchMahatma Gandhi RoadMysuruKarnataka 570 004India

Background There is a paucity of studies conducted in India on neonatal outcomes of preterm birth and low birth ***,we aimed to assess the impact of preterm birth and low birth weight on medical conditions,medication use and mortality among *** A prospective observational cohort study was conducted at the neonatal intensive care unit (NICU) over a period of 9 *** of either sex,admitted to NICU and who received at least one medication were enrolled in the *** and demographic data,reason(s) for NICU admission,diagnoses,medications prescribed,medication-related problems,discharge status and the direct medical cost were documented and *** Four hundred and five neonates Were included in the study:60.5% were boys,32.7% were preterm and 44.2% were born *** sepsis (n =125,16.7%),unconjugated hyperbilirubinemia (n =83,11.1%) and respiratory distress syndrome (n =62,8.3%) were the most common medical conditions and were significantly more common among preterm and underweight *** half of the medications prescribed were anti-infectives for systemic use (n =1310,47.4%).The mean number of medications received by neonates increased from term to extremely preterm (5.2-15.0) and normal birth weight to extremely low birth weight (5.0-14.9).Mortality rate was significantly higher among extremely preterm (66.7%),and very preterm (15.2%) neonates compared to term (2.9%) *** median direct medical cost for NICU admission was INR 21,430 (USD 331).Conclusion Medical conditions,medications prescribed and mortality rate were significantly higher among preterm and underweight neonates admitted to NICU.

关键词： Low birth weight Medical conditions Medications Mortality Preterm birth

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Improved Whale Optimization with Local-Search Method for Feature Selection

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Computers, Materials & Continua 2023年第4期75卷 1371-1389页

作者： Malek Alzaqebah Mutasem KAlsmadi Sana Jawarneh Jehad saad Alqurni mohammed Tayfour Ibrahim Almarashdeh Rami Mustafa A.Mohammad Fahad A.Alghamdi Nahier Aldhafferi Abdullah Alqahtani Khalid A.Alissa bashar A.Aldeeb Usama A.Badawi Maram Alwohaibi Hayat Alfagham Department of Mathematics College of ScienceImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Basic&Applied Scientific Research Center Imam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of MIS College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Science Community CollegeImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Educational Technology College of EducationImam Abdulrahman Bin Faisal UniversityP.O.Box 1982DammamSaudi Arabia Department of Computer Information Systems College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Deanship of Information and Communication Technology Imam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia

Various feature selection algorithms are usually employed to improve classification models’overall *** algorithms typically accompany such algorithms to select the optimal set of *** the most currently attractive trends within optimization algorithms are hybrid *** present paper presents two Stages of Local Search models for feature selection based on WOA(Whale Optimization Algorithm)and Great Deluge(GD).GD Algorithm is integrated with the WOA algorithm to improve exploitation by identifying the most promising regions during the *** version is employed using the best solution found by the WOA algorithm and exploited by the GD *** addition,disruptive selection(DS)is employed to select the solutions from the population for local *** is chosen to maintain the diversity of the population via enhancing low and high-quality ***(15)standard benchmark datasets provided by the University of California Irvine(UCI)repository were used in evaluating the proposed approaches’***,a comparison was made with four population-based algorithms as wrapper feature selection methods from the *** proposed techniques have proved their efficiency in enhancing classification accuracy compared to other wrapper ***,the WOA can search effectively in the feature space and choose the most relevant attributes for classification tasks.

关键词： Optimization whale optimization algorithm great deluge algorithm feature selection and classification

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