Результаты поиска - "Machine Learning"

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

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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 по 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 по 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 по 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 по 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 по 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 по 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 по 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 по 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 по 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 по 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 по 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 по 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 по 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 по 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 по Rina Masadah, Aries Maulana, Berti Julian Nelwan, Mahmud Ghaznawie, Upik Anderiani Miskad, Suryani Tawali, Syahrul Rauf, Bumi Herman

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Machine learning predictive model of academic achievement efficiency based on data envelopment analysis / Nor Faezah Mohamad Razi, Norhayati Baharun and Nasiroh Omar по Mohamad Razi, Nor Faezah, Baharun, Norhayati, Omar, Nasiroh

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Предметы: “...Resource-Aware Machine Learning...”
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