Predicting the Optimal Treatment for Diseases Using Whale Optimization Algorithm by Sudad Abed, Zuhal Adel Madlool

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A Heterogeneous Ensemble Learning Method Combining Spectral, Terrain, and Texture Features for Landslide Mapping by Yi He, Hesheng Chen, Qing Zhu, Qing Zhang, Lifeng Zhang, Tao Liu, Wende Li, Huaiyuan Chen

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The Use of Digital Microscopy to Compare the Thicknesses of Normal Corneas and Ex Vivo Rejected Corneal Grafts with a Focus on the Descemet’s Membrane by Taíse Tognon, Sabrina Bergeron, Christina Mastromonaco, Kleyton Barella, Adriano Pasqualotti, Laura Nunez, Francisco Murta, Luciene Barbosa de Sousa, Mauro Campos, Miguel Noel Nascentes Burnier

“…This is a prospective, cross-sectional study performed at the MUHC-McGill University Ocular Pathology & Translational Research Laboratory (McGill University, Montreal, Canada). …”
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Towards a global knowledge for environmentally sustainable development agenda in 21 st century southern Africa by Stanford Garikayi Mukasa

“… After three decades of research and theorizing on the information and communication approach to development, there is no universal consensus among researchers, academics, communication practitioners and development experts on the age-Old question: how does communication and information causally relate to development? …”
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An optimized data analytics pipeline for improving healthcare diagnosis using ensemble learning by Lomat Haider Chowdhury, Shaira Tabassum, Swakkhar Shatabda, Ashir Ahmed

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Impact of Population-Based Screening for Diabetes and Prediabetes Among 67-Year-Olds Using Point-of-Care HbA1c on Healthcare Ultilisation, Results from the VISP Cohort by Andersen JW, Høgh A, Lindholt JS, Søgaard R, Støvring H, Yderstræde KB, Sandbæk A, Dahl M

“…Jesper Winkler Andersen,1,2 Annette Høgh,1,3 Jes Sanddal Lindholt,1,3– 6 Rikke Søgaard,5 Henrik Støvring,3,7 Knud Bonnet Yderstræde,5,8 Annelli Sandbæk,9– 11 Marie Dahl1,3– 5 1Vascular Research Unit, Department of Vascular Surgery, Viborg Regional Hospital, Viborg, Denmark; 2Department of Gastroenterology, Aarhus University Hospital, Aarhus, Denmark; 3Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; 4Department of Cardiothoracic and Vascular Surgery, Odense University Hospital, Odense, Denmark; 5Department of Clinical Research, University of Southern Denmark, Odense, Denmark; 6Elite Centre of Individualized Treatment of Arterial Diseases (CIMA), Odense University Hospital, Odense, Denmark; 7Department of Biomedicine, Aarhus University, Aarhus, Denmark; 8Diabetes Center, Steno, Odense, Denmark; 9Department of Public Health, Aarhus University, Aarhus, Denmark; 10Research unit of General Medical Practice, Aarhus University, Aarhus, Denmark; 11Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, DenmarkCorrespondence: Jesper Winkler Andersen, Vascular Research Unit, Department of Surgery, Viborg Regional Hospital, Toldbodgade 12, Viborg, 8800, Denmark, Tel +45 28118736, Email jesper.andersen@midt.rm.dkPurpose: The present study aims to evaluate the changes in healthcare utilization following population-based screening for diabetes mellitus (DM) using point-of-care HbA1c measurement in the Viborg Screening Program (VISP) cohort, which invites all 67-year-olds in Viborg, Denmark, for cardiovascular disease (CVD) and DM screening.Patients and Methods: We conducted a cohort study using data from VISP and Danish national health registers. …”
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Automatic recognition of pulse repetition interval modulation using temporal convolutional network by Abolfazl Dadgarnia, Mohammad Taghi Sadeghi

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A Preliminary Study on Accident Analysis of Portable Timber Sawmills Used in Mazamba Forest Plantation in Northern Malawi by Jameson T. T. Mzungu, Elisha S. Ngulube

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A systematic review of machine learning applications in predicting opioid associated adverse events by Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David A. Jenkins, Meghna Jani

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Noniterative Localized and Space-Time Localized RBF Meshless Method to Solve the Ill-Posed and Inverse Problem by Mohammed Hamaidi, Ahmed Naji, Fatima Ghafrani, Mostafa Jourhmane

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Sudden Onset of Coma and Fulminant Progression to Brain Death in a 48-Year-Old Male With Cerebral Malaria by Marina Costa, Cristiana Barbosa, Mauro Pereira, Luís Ribeiro, Pedro Silveira

“…Left untreated, it is universally fatal. Coma is the clinical hallmark, emerging between the first and third days of fever. …”
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Synthetic graphs for link prediction benchmarking by Alexey Vlaskin, Eduardo G Altmann

“…Predicting missing links in complex networks requires algorithms that are able to explore statistical regularities in the existing data. …”
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Reducing Side Effects of Hiding Sensitive Itemsets in Privacy Preserving Data Mining by Chun-Wei Lin, Tzung-Pei Hong, Hung-Chuan Hsu

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Link Prediction via Convex Nonnegative Matrix Factorization on Multiscale Blocks by Enming Dong, Jianping Li, Zheng Xie

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Video completion in the presence of moving subjects based on segmentation using Neutrosophic sets by Amanna Ghanbari Talouki, Abbas Koochari, Seyyed Ahmad Edalatpanah

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Completion of the Central Italy daily precipitation instrumental data series from 1951 to 2019 by Gamal AbdElNasser Allam Abouzied, Guoqiang Tang, Simon Michael Papalexiou, Martyn P. Clark, Eleonora Aruffo, Piero Di Carlo

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Assessing Knowledge and Attitude of Dental Patients regarding the Use of Dental Implants: A Survey-Based Research by Abdulrahman Alajlan, Aryaf Alhoumaidan, Abeer Ettesh, Mazen Doumani

“…The survey concluded that an acceptable level of awareness regarding using dental implants as a treatment option for replacing missing teeth, with friends being the main source of information.…”
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Seasonality, Interannual Variability, and Linear Tendency of Wind Speeds in the Northeast Brazil from 1986 to 2011 by Alexandre Torres Silva dos Santos, Cláudio Moisés Santos e Silva

“…To this end, the following methods were used: filling of missing data, descriptive statistical calculations, boxplots, cluster analysis, and trend analysis using the Mann-Kendall statistical method. …”
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Development and Validation of a Cost-Effective Machine Learning Model for Screening Potential Rheumatoid Arthritis in Primary Healthcare Clinics by Wu W, Hu X, Yan L, Li Z, Li B, Chen X, Lin Z, Zeng H, Li C, Mo Y, Wu Y, Wang Q

“…Wenqi Wu,1,2,* Xiaohao Hu,1,2,* Linyang Yan,3,* Zhiyin Li,4 Bo Li,5 Xinpeng Chen,6 Zexun Lin,7 Huiqiong Zeng,8 Chun Li,9 Yingqian Mo,10 Yalin Wu,3 Qingwen Wang1,2 1Department of Rheumatology and Immunology, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China; 2Shenzhen Key Laboratory of Inflammatory and Immunology Diseases, Shenzhen, People’s Republic of China; 3Department of Ultrasound, Institute of Ultrasonic Medicine, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, 518036, People’s Republic of China; 4Department of Information Systems, City University of Hong Kong, Hong Kong, People’s Republic of China; 5Department of Rheumatology and Immunology, People’s Hospital of Longhua District, Shenzhen, People’s Republic of China; 6Department of Rheumatology and Immunology, Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, People’s Republic of China; 7Shenzhen Nanshan Medical Group HQ Taohuayuan Community Health Service Center, Shenzhen, People’s Republic of China; 8Traditional Chinese Medicine Department of Rheumatism, Women & Children Health Institute, Shenzhen, People’s Republic of China; 9Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing, People’s Republic of China; 10Department of Rheumatology and Immunology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yalin Wu; Qingwen Wang, Email yalinwu@jj.ac.kr; wangqingwen@pkuszh.comObjective: In primary healthcare, diagnosing rheumatoid arthritis (RA) is challenging due to a general lack of in-depth knowledge of RA by general practitioners (GPs) and the lack of effective tools, leading to high rates of missed diagnosis. …”
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Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method by Seungyeoun Lee, Donghee Son, Wenbao Yu, Taesung Park

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