Search Results - "neural networks"

A real-world pharmacovigilance analysis of adverse events associated with irbesartan using the FAERS and JADER databases by Qian Liu, Zhiwei Cui, Chao Deng, Chao Yang, Tao Shi

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Assessing the safety of bedaquiline: insight from adverse event reporting system analysis by Jiaqiang Wu, Hong Pan, Li Shen, Mingyi Zhao

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Development of an automated artificial intelligence-based system for urogenital schistosomiasis diagnosis using digital image analysis techniques and a robotized microscope. by Carles Rubio Maturana, Allisson Dantas de Oliveira, Francesc Zarzuela, Edurne Ruiz, Elena Sulleiro, Alejandro Mediavilla, Patricia Martínez-Vallejo, Sergi Nadal, Tomàs Pumarola, Daniel López-Codina, Alberto Abelló, Elisa Sayrol, Joan Joseph-Munné

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Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study by Horng-Ruey Chua, Kaiping Zheng, Anantharaman Vathsala, Kee-Yuan Ngiam, Hui-Kim Yap, Liangjian Lu, Ho-Yee Tiong, Amartya Mukhopadhyay, Graeme MacLaren, Shir-Lynn Lim, K Akalya, Beng-Chin Ooi

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Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study by Maron, Roman C, Utikal, Jochen S, Hekler, Achim, Hauschild, Axel, Sattler, Elke, Sondermann, Wiebke, Haferkamp, Sebastian, Schilling, Bastian, Heppt, Markus V, Jansen, Philipp, Reinholz, Markus, Franklin, Cindy, Schmitt, Laurenz, Hartmann, Daniela, Krieghoff-Henning, Eva, Schmitt, Max, Weichenthal, Michael, von Kalle, Christof, Fröhling, Stefan, Brinker, Titus J

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Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes by Benjamin Joseph Ricard, Saeed Hassanpour

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A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1) by Huafei Tang, Jing Xu, Xian Zhang, Chunliang Chen, Ge Song, Rui Ma, Jinjing Zhao, Qiang Zhao

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Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study by Wu, Chia-Tung, Li, Guo-Hung, Huang, Chun-Ta, Cheng, Yu-Chieh, Chen, Chi-Hsien, Chien, Jung-Yien, Kuo, Ping-Hung, Kuo, Lu-Cheng, Lai, Feipei

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Forecasting the COVID-19 Epidemic by Integrating Symptom Search Behavior Into Predictive Models: Infoveillance Study by Alessandro Rabiolo, Eugenio Alladio, Esteban Morales, Andrew Ian McNaught, Francesco Bandello, Abdelmonem A Afifi, Alessandro Marchese

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Towards interactive AI-authoring with prototypical few-shot classifiers in histopathology by Petr Kuritcyn, Rosalie Kletzander, Sophia Eisenberg, Thomas Wittenberg, Volker Bruns, Katja Evert, Felix Keil, Paul K. Ziegler, Katrin Bankov, Peter Wild, Markus Eckstein, Arndt Hartmann, Carol I. Geppert, Michaela Benz

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Adverse event profile of memantine and donepezil combination therapy: a real-world pharmacovigilance analysis based on FDA adverse event reporting system (FAERS) data from 2004 to... by Yihan Yang, Sheng Wei, Huan Tian, Huan Tian, Jing Cheng, Yue Zhong, Xiaoling Zhong, Dunbing Huang, Cai Jiang, Cai Jiang, Cai Jiang, Xiaohua Ke

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Combination of Chromatographic Analysis and Chemometric Methods with Bioactivity Evaluation of the Antibacterial Properties of <i>Helichrysum italicum</i> Essential Oil by Tijana Zeremski, Olja Šovljanski, Vladimir Vukić, Biljana Lončar, Milica Rat, Nataša Perković Vukčević, Milica Aćimović, Lato Pezo

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The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review by Laura Swinckels, Frank C Bennis, Kirsten A Ziesemer, Janneke F M Scheerman, Harmen Bijwaard, Ander de Keijzer, Josef Jan Bruers

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An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design by Jinxi Zhang, Zhen Li, Yu Liu, Jian Li, Hualong Qiu, Mohan Li, Guohui Hou, Zhixiong Zhou

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A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery by Zhixiang Wang, Huiqiao Gao, Xinghao Wang, Marcin Grzegorzek, Jinfeng Li, Hengzi Sun, Yidi Ma, Xuefang Zhang, Zhen Zhang, Andre Dekker, Alberto Traverso, Zhenyu Zhang, Linxue Qian, Meizhu Xiao, Ying Feng

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Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Method... by Maya Varma, Peter Washington, Brianna Chrisman, Aaron Kline, Emilie Leblanc, Kelley Paskov, Nate Stockham, Jae-Yoon Jung, Min Woo Sun, Dennis P Wall

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Helping Roles of Artificial Intelligence (AI) in the Screening and Evaluation of COVID-19 Based on the CT Images by Xie H, Li Q, Hu PF, Zhu SH, Zhang JF, Zhou HD, Zhou HB

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Assessing optimal methods for transferring machine learning models to low-volume and imbalanced clinical datasets: experiences from predicting outcomes of Danish trauma patients by Andreas Skov Millarch, Andreas Skov Millarch, Alexander Bonde, Alexander Bonde, Mikkel Bonde, Mikkel Bonde, Kiril Vadomovic Klein, Fredrik Folke, Fredrik Folke, Søren Steemann Rudolph, Martin Sillesen, Martin Sillesen

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Predicting Publication of Clinical Trials Using Structured and Unstructured Data: Model Development and Validation Study by Siyang Wang, Simon Šuster, Timothy Baldwin, Karin Verspoor

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Comparing machine learning with case-control models to identify confirmed dengue cases. by Tzong-Shiann Ho, Ting-Chia Weng, Jung-Der Wang, Hsieh-Cheng Han, Hao-Chien Cheng, Chun-Chieh Yang, Chih-Hen Yu, Yen-Jung Liu, Chien Hsiang Hu, Chun-Yu Huang, Ming-Hong Chen, Chwan-Chuen King, Yen-Jen Oyang, Ching-Chuan Liu

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