Search Results - "machines"

A machine-learning guided method for predicting add-on and switch in secondary data sources: A case study on anti-seizure medications in Danish registries by Peter Suhr Breitenstein, Israa Mahmoud, Fahed Al-Azzawi, Saeed Shakibfar, Maurizio Sessa

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Identifying oral disease variables associated with pneumonia emergence by application of machine learning to integrated medical and dental big data to inform eHealth approaches by Neel Shimpi, Ingrid Glurich, Aloksagar Panny, Harshad Hegde, Frank A. Scannapieco, Amit Acharya

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Gradient Boosting Machine Identified Predictive Variables for Breast Cancer Patients Pre- and Post-Radiotherapy: Preliminary Results of an 8-Year Follow-Up Study by Elisabet Rodríguez-Tomàs, Meritxell Arenas, Gerard Baiges-Gaya, Johana Acosta, Pablo Araguas, Bárbara Malave, Helena Castañé, Andrea Jiménez-Franco, Rocío Benavides-Villarreal, Sebastià Sabater, Rosa Solà-Alberich, Jordi Camps, Jorge Joven

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PP 1.18 - 00105 Machine learning identifies differentiating physicochemical signatures between HIV subtypes in Nef domains associated with host-cell regulation by S. Lamers, D. Nolan, G. Fogel, E. Liu, M. Mcgrath

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Exploring the intersection of obesity and gender in COVID-19 outcomes in hospitalized Mexican patients: a comparative analysis of risk profiles using unsupervised machine learning by Fahimeh Nezhadmoghadam, José Gerardo Tamez-Peña, Emmanuel Martinez-Ledesma, Emmanuel Martinez-Ledesma

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How to use machine learning and fuzzy cognitive maps to test hypothetical scenarios in health behavior change interventions: a case study on fruit intake by Samvel Mkhitaryan, Philippe J. Giabbanelli, Maciej K. Wozniak, Nanne K. de Vries, Anke Oenema, Rik Crutzen

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Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study by Cheng Fang, Xiao Ji, Yifeng Pan, Guanchao Xie, Hongsheng Zhang, Sai Li, Jinghai Wan

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Prediction of initial objective response to drug-eluting beads transcatheter arterial chemoembolization for hepatocellular carcinoma using CT radiomics-based machine learning model by Xueying Zhang, Zijun He, Yucong Zhang, Jian Kong

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Disability risk prediction model based on machine learning among Chinese healthy older adults: results from the China Health and Retirement Longitudinal Study by Yuchen Han, Shaobing Wang

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Alzheimer’s Disease Detection Using Comprehensive Analysis of Timed Up and Go Test via Kinect V.2 Camera and Machine Learning by Mahmoud Seifallahi, Afsoon Hasani Mehraban, James E. Galvin, Behnaz Ghoraani

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Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers by Emily E Haroz, Fiona Grubin, Novalene Goklish, Shardai Pioche, Mary Cwik, Allison Barlow, Emma Waugh, Jason Usher, Matthew C Lenert, Colin G Walsh

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A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database by Yosep Chong, Ji Young Lee, Yejin Kim, Jingyun Choi, Hwanjo Yu, Gyeongsin Park, Mee Yon Cho, Nishant Thakur

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Intracranial Densitometry-Augmented Machine Learning Enhances the Prognostic Value of Brain CT in Pediatric Patients With Traumatic Brain Injury: A Retrospective Pilot Study by Young-Tak Kim, Hakseung Kim, Choel-Hui Lee, Byung C. Yoon, Jung Bin Kim, Young Hun Choi, Won-Sang Cho, Byung-Mo Oh, Byung-Mo Oh, Dong-Joo Kim, Dong-Joo Kim, Dong-Joo Kim

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Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea by Junho Kim, Sujeong Mun, Siwoo Lee, Kyoungsik Jeong, Younghwa Baek

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Combining Resampling Strategies and Ensemble Machine Learning Methods to Enhance Prediction of Neonates with a Low Apgar Score After Induction of Labor in Northern Tanzania by Tarimo CS, Bhuyan SS, Li Q, Ren W, Mahande MJ, Wu J

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Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach by Saida Salima Nawrin, Hitoshi Inada, Haruki Momma, Ryoichi Nagatomi

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Gaultheria leucocarpa var. yunnanensis for Treating Rheumatoid Arthritis-An Assessment Combining Machine Learning-Guided ADME Properties Prediction, Network Pharmacology, and Pharmacological Assessment by Xiuhuan Wang, Xiuhuan Wang, Youyi Sun, Ling Ling, Xueyang Ren, Xueyang Ren, Xiaoyun Liu, Xiaoyun Liu, Yu Wang, Yu Wang, Ying Dong, Ying Dong, Jiamu Ma, Jiamu Ma, Ruolan Song, Ruolan Song, Axiang Yu, Axiang Yu, Jing Wei, Jing Wei, Qiqi Fan, Qiqi Fan, Miaoxian Guo, Tiantian Zhao, Rina Dao, Gaimei She, Gaimei She

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Risk-stratification machine learning model using demographic factors, gynaecological symptoms and β-catenin for endometrial hyperplasia and carcinoma: a cross-sectional study by Rina Masadah, Aries Maulana, Berti Julian Nelwan, Mahmud Ghaznawie, Upik Anderiani Miskad, Suryani Tawali, Syahrul Rauf, Bumi Herman

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A History of Troop A Cavalry, Connecticut National Guard and Its Service in the Great War as Co. D, 102d Machine Gun Battalion by McCarthy, Robert John [Editor]

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A Study on Cryogenic Supercritical Carbon Dioxide Coolant Delivery Technique when Machining of AISI 1045 Steel / Erween Abd Rahim ...[et al.] by Abd Rahim, Erween, Jaafar, Mohd Noor, Mohid, Zazuli, Ibrahim, Mohd Rasidi, Ahmad, Said

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