Search Results - "predictive modelling"

Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study by Carlo Ricciardi, Marta Rosaria Marino, Teresa Angela Trunfio, Massimo Majolo, Maria Romano, Francesco Amato, Giovanni Improta, Giovanni Improta

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Express method for determining the probability of developing congenital pneumonia in full-term newborns by A.N. Harachka, A.V. Sukalo

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Syndromic surveillance of population-level COVID-19 burden with cough monitoring in a hospital emergency waiting room by Forsad Al Hossain, M. Tanjid Hasan Tonmoy, Sri Nuvvula, Brittany P. Chapman, Rajesh K. Gupta, Andrew A. Lover, Rhoel R. Dinglasan, Stephanie Carreiro, Tauhidur Rahman

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The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations by Pham, Quynh, Gamble, Anissa, Hearn, Jason, Cafazzo, Joseph A

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Impact of Arterial Calcification on Cardiovascular and Renal Outcomes in Kidney Transplant Patients by Joohyung Ha, Jong Cheol Jeong, Jung-Hwa Ryu, Myung-Gyu Kim, Kyu Ha Huh, Kyo Won Lee, Hee-Yeon Jung, Kyung Pyo Kang, Han Ro, Seungyeup Han, Beom Seok Kim, Jaeseok Yang

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Cocrystal solubility-pH and drug solubilization capacity of sodium dodecyl sulfate - mass action model for data analysis and simulation to improve design of experiments by Alex Avdeef

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A novel, machine-learning model for prediction of short-term ASCVD risk over 90 and 365 days by Tomer Gazit, Hanan Mann, Shiri Gaber, Pavel Adamenko, Granit Pariente, Liron Volsky, Amir Dolev, Helena Lyson, Eyal Zimlichman, Jay A. Pandit, Edo Paz

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Digital model for predicting the risk of developing acute decompensated heart failure by N. B. Lebedeva, A. P. Egle, Yu. A. Argunova, O. L. Barbarash

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A Facile machine learning multi-classification model for Streptococcus agalactiae clonal complexes by Jingxian Liu, Jing Zhao, Chencui Huang, Jingxu Xu, Wei Liu, Jiajia Yu, Hongyan Guan, Ying Liu, Lisong Shen

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The Monocyte-to-Lymphocyte Ratio at Hospital Admission Is a Novel Predictor for Acute Traumatic Intraparenchymal Hemorrhage Expansion after Cerebral Contusion by Jiangtao Sheng, Tian Li, Dongzhou Zhuang, Shirong Cai, Jinhua Yang, Faxiu Ding, Xiaoxuan Chen, Fei Tian, Mindong Huang, Lianjie Li, Kangsheng Li, Weiqiang Chen

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The effect of adding real-world evidence to regulatory submissions on the breadth of population indicated for rare disease medicine treatment by the European Medicines Agency by Ravi Jandhyala

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Spatial-temporal analysis of malaria and the effect of environmental factors on its incidence in Yongcheng, China, 2006-2010 by Zhang Yan, Liu Qi-Yong, Luan Rong-Sheng, Liu Xiao-Bo, Zhou Guang-Chao, Jiang Jing-Yi, Li Hong-Sheng, Li Zhi-Fang

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Relation Between Relative Handgrip Strength, Chronological Age and Physiological Age with Lower Functional Capacity in Older Women by Souza Saraiva W, Prestes J, Schwerz Funghetto S, Navalta JW, Tibana RA, da Cunha Nascimento D

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In silico prediction, molecular modeling, and dynamics studies on the targeted next-generation sequencing identified genes underlying congenital heart disease in Down syndrome pati... by Fiona Hannah Carlus, L Balasubramaniam Sujatha, Anbazhagan Ganesh Kumar, Lakshmanan Loganathan, Karthikeyan Muthusamy, Silas Justin Carlus

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Analysis of Adverse Reactions of Cosmetics in Chinese Han Population in Recent Five Years by Dong C, Liu F, Liao Z, Lin L, Wang R, Du J, Huang W

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Random forest algorithm to identify factors associated with sports-related dental injuries in 6 to 13-year-old athlete children in Hamadan, Iran-2018 -a cross-sectional study by Maryam Farhadian, Sima Torkaman, Farzad Mojarad

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Concussion history and virtual reality metrics predict core or lower extremity injury occurrence among high school athletes by Gary B. Wilkerson, Kimberly R. Wynn, Paige W. Dill, Shellie Acocello, Lynette M. Carlson, Jennifer Hogg

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Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study by Saeed Shakibfar, Saeed Shakibfar, Jing Zhao, Jing Zhao, Jing Zhao, Huiqi Li, Hedvig Nordeng, Hedvig Nordeng, Angela Lupattelli, Angela Lupattelli, Milena Pavlovic, Milena Pavlovic, Geir Kjetil Sandve, Geir Kjetil Sandve, Fredrik Nyberg, Björn Wettermark, Mohammadhossein Hajiebrahimi, Morten Andersen, Maurizio Sessa

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A community jury study exploring the public acceptability of using risk stratification to determine eligibility for cancer screening by Rebecca A. Dennison, Rachel A. Boscott, Rae Thomas, Simon J. Griffin, Hannah Harrison, Stephen D. John, Sowmiya A. Moorthie, Stephen Morris, Sabrina H. Rossi, Grant D. Stewart, Chloe V. Thomas, Juliet A. Usher‐Smith

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Reviewing Accuracy of First Trimester Screening for Preeclampsia Using Maternal Factors and Biomarkers by Malone SL, Haj Yahya R, Kane SC

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