Impact of Mobile Health (mHealth) Use by Community Health Workers on the Utilization of Maternity Care in Rural Malawi: A Time Series Analysis by Kachimanga C, Ng’ambi WF, Kazinga D, Ndarama E, Amulele MA, Munyaneza F, Abejirinde IOO, van den Akker T, Kulinkina AV

“…Chiyembekezo Kachimanga,1,2 Wingston Felix Ng’ambi,3 Doctor Kazinga,1 Enoch Ndarama,4 Mercy Ambogo Amulele,5 Fabien Munyaneza,1 Ibukun-Oluwa O Abejirinde,6,7 Thomas van den Akker,2,8 Alexandra V Kulinkina1,9,10 1Partners in Health Malawi, Neno, Malawi; 2Athena Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; 3Health Economics and Policy Unit, Department of Health Systems and Policy, Kamuzu University of Health Sciences, Lilongwe, Malawi; 4Ministry of Health, Neno, Malawi; 5Medic, Nairobi, Kenya; 6Women College Hospital Institute for Health System Solutions and Virtual Care, Toronto, ON, Canada; 7Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; 8Department of Obstetrics and Gynaecology, Leiden University Medical Center, Leiden, Netherlands; 9Swiss Tropical and Public Health Institute, Allschwil, Switzerland; 10University of Basel, Basel, SwitzerlandCorrespondence: Chiyembekezo Kachimanga, Partners in Health Malawi, Post Office Box 56, Neno, Malawi, Email chembekachimanga@yahoo.co.ukPurpose: Maternal mortality in Malawi is high, with low coverage of maternity care being a contributing factor. …”
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Computational Phenotyping of Obstructive Airway Diseases: A Systematic Review by Bashir MBA, Milani GP, De Cosmi V, Mazzocchi A, Zhang G, Basna R, Hedman L, Lindberg A, Ekerljung L, Axelsson M, Vanfleteren LEGW, Rönmark E, Backman H, Kankaanranta H, Nwaru BI

“…Box 424, Gothenburg, SE-405 30, Sweden, Tel +46707847667, Fax +46 317863101, Email muwada.bashir@gu.se; mawadah99@yahoo.comIntroduction: Computational sciences have significantly contributed to characterizing airway disease phenotypes, complementing medical expertise. …”
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Mitigating overconfidence bias: A cross-sectional pilot study of male maintenance workers in the engineering sector by Luca DI GIAMPAOLO, Federica MARINO, Claudia GIURGOLA, Piergiorgio ASTOLFI, Luca COPPETA, Simone DE SIO, Paola BORRELLI, Teresa GALANTI, Laura FORCELLA, Maria Elisa MAIOLO, Kavita BATRA, Murat YILDIRIM, Hicham KHABBACHE, Amelia RIZZO, Mahmood BAHRAMIZADEH, Hiroo WADA, Qiao NIU, Hector NIETO, Francesco CHIRICO

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Komparasi Machine Learning Berbasis Pso Untuk Prediksi Tingkat Keberhasilan Belajar Berbasis E-Learning by Elin Panca Saputra, Siti Nurajizah, Mawadatul Maulidah, Nadiyah Hidayati, Taufik Rahman

“…The problem in this study is that the number of attributes in the data can reduce accuracy, so from experiments with several yahoos on machine learning, we tried to apply Particle Swarm Optimizatio (PSO) to increase higher accuracy. …”
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