Search Results - "Machine"

Chapter Usage of Infrared-Based Technologies in Forensic Sciences by Gümüş, Orhan

Subjects: “…Machine learning bicssc…”
DOAB: download the publication
DOAB: description of the publication

Chapter Usage of Infrared-Based Technologies in Forensic Sciences by Gümüş, Orhan

Subjects: “…Machine learning bicssc…”
OAPEN Library: download the publication
OAPEN Library: description of the publication

A Multi-Machine Learning Consensus Model Based on Clinical Features Reveals That Interleukin-10 Derived from Monocytes Leads to a Poor Prognosis in Patients with Coronavirus Disease-2019 by Yu J, Zhang Y, Ye Z, Tang K, Ma Y, Fu L, Cui T, Kang H, Yuan Y, Pan W

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Exploring predictors of welfare dependency 1, 3, and 5 years after mental health-related absence in danish municipalities between 2010 and 2012 using flexible machine learning modelling by Søren Skotte Bjerregaard

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Examining ethno-racial attitudes of the public in Twitter discourses related to the United States Supreme Court Dobbs vs. Jackson Women's Health Organization ruling: A machine learning approach by Otobo I. Ujah, Pelumi Olaore, Onome C. Nnorom, Chukwuemeka E. Ogbu, Russell S. Kirby

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EFFORTS TO IMPROVE THE ABILITY TO USE MEASURING INSTRUMENT STUDENT LEARNING THROUGH MEDIA MACROMEDIA FLASH IN CLASS X MECHANICAL MACHINING SMK 1 SEDAYU ACADEMIC YEAR 2012/2013 by Puput Hananto, Pairun Roniwijaya

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Identification of potential novel N6-methyladenosine effector-related lncRNA biomarkers for serous ovarian carcinoma: a machine learning-based exploration in the framework of 3P medicine by Lele Ye, Lele Ye, Xinya Tong, Kan Pan, Xinyu Shi, Binbing Xu, Xuyang Yao, Linpei Zhuo, Su Fang, Sangsang Tang, Zhuofeng Jiang, Xiangyang Xue, Weiguo Lu, Weiguo Lu, Weiguo Lu, Gangqiang Guo

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Can machine learning models predict maternal and newborn healthcare providers' perception of safety during the COVID-19 pandemic?... by Bassel Hammoud, Aline Semaan, Imad Elhajj, Lenka Benova

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Machine-Learning vs. Expert-Opinion Driven Logistic Regression Modelling for Predicting 30-Day Unplanned Rehospitalisation in Preterm Babies: A Prospective, Population-Based Study (EPIPAGE 2) by Robert A. Reed, Andrei S. Morgan, Andrei S. Morgan, Andrei S. Morgan, Jennifer Zeitlin, Pierre-Henri Jarreau, Pierre-Henri Jarreau, Héloïse Torchin, Héloïse Torchin, Véronique Pierrat, Véronique Pierrat, Pierre-Yves Ancel, Pierre-Yves Ancel, Babak Khoshnood

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Seasonal variations of arrhythmias and their impact on mortality in cancer patients with health disparities: A propensity score adjusted machine learning analysis of over 100 million hospitalizations across 3 years by Park Jong Kun, Monlezun Dominique, Kim Jin Wan, Going James, Khalaf Shaden, Honan Kevin, Ali Abdelrahman, Liu Victor, Barout Ahmad, Boone David, Safavi-Naeini Payam, Koutroumpakis Efstratios, Cilingiroglu Mehmet, Marmagkiolis Konstantinos, Iliescu Cezar, Karimzad Kaveh, Madjid Mohammad

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Increased Serum Vitamin D and Decreased Serum Cholesterol Are Associated with Development of Squamous Cell Carcinoma in Actinic Keratosis Patients: A Retrospective Machine-Learning Analysis of the All of Us Database by Nilesh Kodali, Rohan Singh, Shari R. Lipner

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Physical Activity among U.S. Preschool-Aged Children: Application of Machine Learning Physical Activity Classification to the 2012 National Health and Nutrition Examination Survey National Youth Fitness Survey by Soyang Kwon, Megan K. O'Brien, Sarah B. Welch, Kyle Honegger

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Who Needs to Fit in? Who Gets to Stand out? Communication Technologies Including Brain-Machine Interfaces Revealed from the Perspectives of Special Education School Teachers Through an Ableism Lens by Gregor Wolbring, Lucy Diep

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Risk Factors and Prediction of 28-Day-All Cause Mortality Among Critically Ill Patients with Acute Pancreatitis Using Machine Learning Techniques: A Retrospective Analysis of Multi-Institutions by Cai W, Wu X, Chen Y, Chen J, Lin X

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Identifying non‐adult attention‐deficit/hyperactivity disorder individuals using a stacked machine learning algorithm using administrative data population registers in a universal healthcare system by David Roche, Toni Mora, Jordi Cid

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Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study by Chae, Sang Hoon, Kim, Yushin, Lee, Kyoung-Soub, Park, Hyung-Soon

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Differentiating noninvasive follicular thyroid neoplasm with papillary-like nuclear features from classic papillary thyroid carcinoma: Analysis of cytomorphologic descriptions using a novel machine-learning approach by Sara Maleki, Amin Zandvakili, Shweta Gera, Seema D Khutti, Adam Gersten, Samer N Khader

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Big data- and machine learning-based analysis of a global pharmacovigilance database enables the discovery of sex-specific differences in the safety profile of dual IL4/IL13 blockade by Kassem Sharif, Kassem Sharif, Kassem Sharif, Mahmud Omar, Adi Lahat, Adi Lahat, Adi Lahat, Yonatan Shneor Patt, Yonatan Shneor Patt, Howard Amital, Howard Amital, Ghanem Zoabi, Nicola Luigi Bragazzi, Abdulla Watad, Abdulla Watad, Abdulla Watad

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A Machine Learning Approach to Determine Risk Factors for Respiratory Bacterial/Fungal Coinfection in Critically Ill Patients with Influenza and SARS-CoV-2 Infection: A Spanish Perspective by Alejandro Rodríguez, Josep Gómez, Ignacio Martín-Loeches, Laura Claverias, Emili Díaz, Rafael Zaragoza, Marcio Borges-Sa, Frederic Gómez-Bertomeu, Álvaro Franquet, Sandra Trefler, Carlos González Garzón, Lissett Cortés, Florencia Alés, Susana Sancho, Jordi Solé-Violán, Ángel Estella, Julen Berrueta, Alejandro García-Martínez, Borja Suberviola, Juan J. Guardiola, María Bodí

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Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study by Ori Ben Yehuda, Edward Itelman, Adva Vaisman, Gad Segal, Boaz Lerner

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