Bilaketaren emaitzak - "Machine Learning"

A multiphase study protocol of identifying, and predicting cancer-related symptom clusters: applying a mixed-method design and machine learning algorithms nork Mojtaba Miladinia, Mojtaba Miladinia, Kourosh Zarea, Mahin Gheibizadeh, Mina Jahangiri, Hossein Karimpourian, Darioush Rokhafroz

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Statistical machine learning models for prediction of China's maritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic Bayesian network model nork Pengyu Yang, Pengfei Cheng, Na Zhang, Ding Luo, Baichao Xu, Baichao Xu, Hua Zhang

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Predicting Treatment Nonresponse in Hispanic/Latino Children Receiving Silver Diamine Fluoride for Caries Arrest: A Pilot Study Using Machine Learning nork Ryan Richard Ruff, Bidisha Paul, Maria A. Sierra, Fangxi Xu, Xin Li, Yasmi O. Crystal, Deepak Saxena

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Image Analysis Using Machine Learning for Automated Detection of Hemoglobin H Inclusions in Blood Smears - A Method for Morphologic Detection of Rare Cells nork Shir Ying Lee, Crystal M E Chen, Elaine Y P Lim, Liang Shen, Aneesh Sathe, Aahan Singh, Jan Sauer, Kaveh Taghipour, Christina Y C Yip

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Natural Language Processing of Referral Letters for Machine Learning-Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study nork Sebastian Fudickar, Carsten Bantel, Jannik Spieker, Heinrich Töpfer, Patrick Stegeman, Henrica R Schiphorst Preuper, Michiel F Reneman, André P Wolff, Remko Soer

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Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery nork Benjamin P. Brown, Oanh Vu, Alexander R. Geanes, Sandeepkumar Kothiwale, Mariusz Butkiewicz, Edward W. Lowe, Ralf Mueller, Richard Pape, Jeffrey Mendenhall, Jens Meiler, Jens Meiler

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Evaluating Machine Learning-Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial nork Zhou, Mo, Fukuoka, Yoshimi, Mintz, Yonatan, Goldberg, Ken, Kaminsky, Philip, Flowers, Elena, Aswani, Anil

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Performance evaluation of selected machine learning algorithms for COVID-19 prediction using routine clinical data: With versus Without CT scan features nork Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi, Azam Orooji, Sara Mobarak, Saeed Jelvay

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A Real-World Data Observational Analysis of the Impact of Liposomal Amphotericin B on Renal Function Using Machine Learning in Critically Ill Patients nork Ignasi Sacanella, Erika Esteve-Pitarch, Jessica Guevara-Chaux, Julen Berrueta, Alejandro García-Martínez, Josep Gómez, Cecilia Casarino, Florencia Alés, Laura Canadell, Ignacio Martín-Loeches, Santiago Grau, Francisco Javier Candel, María Bodí, Alejandro Rodríguez

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Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial nork Meelim Kim, Jaeyeong Yang, Woo-Young Ahn, Hyung Jin Choi

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Machine learning models of tobacco susceptibility and current use among adolescents from 97 countries in the Global Youth Tobacco Survey, 2013-2017. nork Nayoung Kim, Wei-Yin Loh, Danielle E McCarthy

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Predicting Disengagement to Better Support Outcomes in a Web-Based Weight Loss Program Using Machine Learning Models: Cross-Sectional Study nork Aida Brankovic, Gilly A Hendrie, Danielle L Baird, Sankalp Khanna

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Prediction of metabolic syndrome using machine learning approaches based on genetic and nutritional factors: a 14-year prospective-based cohort study nork Dayeon Shin

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Prediction of uterine dehiscence via machine learning by using lower uterine segment thickness and clinical featuresAJOG Global Reports at a Glance nork Mervenur Kement, MD, Cihan Emre Kement, PhD, Mahmut Kuntay Kokanali, MD, Melike Doganay, MD

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Proposing a machine-learning based method to predict stillbirth before and during delivery and ranking the features: nationwide retrospective cross-sectional study nork Toktam Khatibi, Elham Hanifi, Mohammad Mehdi Sepehri, Leila Allahqoli

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Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach nork Shehzad, Aaqib, Rockwood, Kenneth, Stanley, Justin, Dunn, Taylor, Howlett, Susan E

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A Web-Based Calculator to Predict Early Death Among Patients With Bone Metastasis Using Machine Learning Techniques: Development and Validation Study nork Mingxing Lei, Bing Wu, Zhicheng Zhang, Yong Qin, Xuyong Cao, Yuncen Cao, Baoge Liu, Xiuyun Su, Yaosheng Liu

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Country-specific determinants for COVID-19 case fatality rate and response strategies from a global perspective: an interpretable machine learning framework nork Cui Zhou, Åsa M. Wheelock, Chutian Zhang, Jian Ma, Zhichao Li, Wannian Liang, Jing Gao, Lei Xu

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Predicting malaria outbreaks from sea surface temperature variability up to 9 months ahead in Limpopo, South Africa, using machine learning nork Patrick Martineau, Swadhin K. Behera, Masami Nonaka, Ratnam Jayanthi, Takayoshi Ikeda, Noboru Minakawa, Philip Kruger, Qavanisi E. Mabunda

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A data-driven approach to predict the in vitro dissolution time of sustained-release tablets using raw material databases and machine learning algorithms nork M. Bharathi, Raju Kamaraj, S. Murugaanandam, Kota Navyaja, T. Sudheer Kumar

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