Search Results - "Into the Forest"

An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study by Glenn J Fernandes, Arthur Choi, Jacob Michael Schauer, Angela F Pfammatter, Bonnie J Spring, Adnan Darwiche, Nabil I Alshurafa

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Identification and Validation of IFI44 as a Novel Biomarker for Primary Sjögren’s Syndrome by Wei B, Yue Q, Ka Y, Sun C, Zhao Y, Ning X, Jin Y, Gao J, Wu Y, Liu W

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Cervical cancer screening utilization and associated factors among women living with HIV in Ethiopia, 2024: systematic review and meta-analysis by Amlaku Nigusie Yirsaw, Adane Nigusie, Fantahun Andualem, Eyob Getachew, Demis Getachew, Abiyu Abadi Tareke, Muhabaw Shumye Mihret, Gebeyehu Lakew

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A machine learning screening model for identifying the risk of high-frequency hearing impairment in a general population by Yi Wang, Xinmeng Yao, Dahui Wang, Chengyin Ye, Liangwen Xu

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Classification of Alzheimer's disease and frontotemporal dementia using routine clinical and cognitive measures across multicentric underrepresented samples: a cross sectional obse... by Marcelo Adrián Maito, Hernando Santamaría-García, Sebastián Moguilner, Katherine L. Possin, María E. Godoy, José Alberto Avila-Funes, María I. Behrens, Ignacio L. Brusco, Martín A. Bruno, Juan F. Cardona, Nilton Custodio, Adolfo M. García, Shireen Javandel, Francisco Lopera, Diana L. Matallana, Bruce Miller, Maira Okada de Oliveira, Stefanie D. Pina-Escudero, Andrea Slachevsky, Ana L. Sosa Ortiz, Leonel T. Takada, Enzo Tagliazuchi, Victor Valcour, Jennifer S. Yokoyama, Agustín Ibañez

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Studies on mosquitoes (Diptera: Culicidae) and anthropic environment: 9- Synanthropy and epidemiological vector role of Aedes scapularis in South-Eastern Brazil by Oswaldo Paulo Forattini, Iná Kakitani, Eduardo Massad, Daniel Marucci

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Determinants of birth registration in sub-Saharan Africa: evidence from demographic and health surveys by Richard Gyan Aboagye, Joshua Okyere, Joshua Okyere, Abdul-Aziz Seidu, Abdul-Aziz Seidu, Bright Opoku Ahinkorah, Bright Opoku Ahinkorah, Eugene Budu, Sanni Yaya

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Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study by Zachary Butzin-Dozier, Yunwen Ji, Haodong Li, Jeremy Coyle, Junming Shi, Rachael V Phillips, Andrew N Mertens, Romain Pirracchio, Mark J van der Laan, Rena C Patel, John M Colford, Alan E Hubbard

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Identification of Key Influencers for Secondary Distribution of HIV Self-Testing Kits Among Chinese Men Who Have Sex With Men: Development of an Ensemble Machine Learning Approach by Fengshi Jing, Yang Ye, Yi Zhou, Yuxin Ni, Xumeng Yan, Ying Lu, Jason Ong, Joseph D Tucker, Dan Wu, Yuan Xiong, Chen Xu, Xi He, Shanzi Huang, Xiaofeng Li, Hongbo Jiang, Cheng Wang, Wencan Dai, Liqun Huang, Wenhua Mei, Weibin Cheng, Qingpeng Zhang, Weiming Tang

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Effectiveness of health education intervention on intention not to perform female genital mutilation/cutting in the future among key decision-makers: a systematic review and meta-a... by Wubareg Seifu, Tesfaye Assebe Yadeta, Girum Shibeshi Argaw, Eyob Wubishet Abebe, Abdulahi Siraj Abdi, Seid Yimam Ali, Nega Assefa

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Issue of Data Imbalance on Low Birthweight Baby Outcomes Prediction and Associated Risk Factors Identification: Establishment of Benchmarking Key Machine Learning Models With Data... by Yang Ren, Dezhi Wu, Yan Tong, Ana López-DeFede, Sarah Gareau

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A Machine Learning Approach for the Prediction of Testicular Sperm Extraction in Nonobstructive Azoospermia: Algorithm Development and Validation Study by Guillaume Bachelot, Ferdinand Dhombres, Nathalie Sermondade, Rahaf Haj Hamid, Isabelle Berthaut, Valentine Frydman, Marie Prades, Kamila Kolanska, Lise Selleret, Emmanuelle Mathieu-D'Argent, Diane Rivet-Danon, Rachel Levy, Antonin Lamazière, Charlotte Dupont

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Metaanálisis y comparaciones indirectas. Métodos y paradigma: tratamiento biológico de la psoriasis by L. Puig

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An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study by Shen, Jiayi, Chen, Jiebin, Zheng, Zequan, Zheng, Jiabin, Liu, Zherui, Song, Jian, Wong, Sum Yi, Wang, Xiaoling, Huang, Mengqi, Fang, Po-Han, Jiang, Bangsheng, Tsang, Winghei, He, Zonglin, Liu, Taoran, Akinwunmi, Babatunde, Wang, Chi Chiu, Zhang, Casper J P, Huang, Jian, Ming, Wai-Kit

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Artificial intelligence for prediction of endometrial intraepithelial neoplasia and endometrial cancer risks in pre- and postmenopausal womenAJOG Global Reports at a Glance by Evrim Erdemoglu, MD, Tekin Ahmet Serel, MD, Erdener Karacan, MD, Oguz Kaan Köksal, MD, İlyas Turan, MD, Volkan Öztürk, MD, Kemal Kürşat Bozkurt, MD

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Virtual Reality for Upper Limb Rehabilitation in Patients With Obstetric Brachial Palsy: Systematic Review and Meta-Analysis of Randomized Controlled Trials by Amaranta De Miguel-Rubio, Alvaro Alba-Rueda, Elena María Millán-Salguero, M Dolores De Miguel-Rubio, Jose A Moral-Munoz, David Lucena-Anton

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Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study by Xulin Yang, Hang Qiu, Liya Wang, Xiaodong Wang

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Combinatorial Use of Machine Learning and Logistic Regression for Predicting Carotid Plaque Risk Among 5.4 Million Adults With Fatty Liver Disease Receiving Health Check-Ups: Popul... by Yuhan Deng, Yuan Ma, Jingzhu Fu, Xiaona Wang, Canqing Yu, Jun Lv, Sailimai Man, Bo Wang, Liming Li

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

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El proyecto de ordenación cinegética como trabajo académico de fin de carrera en titulaciones forestales by Guillermo Riesco Muñoz

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