Search Results - "Algorithm"

Is automatic cephalometric software using artificial intelligence better than orthodontist experts in landmark identification? by Huayu Ye, Zixuan Cheng, Nicha Ungvijanpunya, Wenjing Chen, Li Cao, Yongchao Gou

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Assessing Canadians Health Activity and Nutritional Habits Through Social Media by Neel Shah, Gautam Srivastava, Gautam Srivastava, David W. Savage, Vijay Mago

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Unraveling the Complex Interactions: Machine Learning Approaches to Predict Bacterial Survival against ZnO and Lanthanum-Doped ZnO Nanoparticles by Diego E. Navarro-López, Yocanxóchitl Perfecto-Avalos, Araceli Zavala, Marco A. de Luna, Araceli Sanchez-Martinez, Oscar Ceballos-Sanchez, Naveen Tiwari, Edgar R. López-Mena, Gildardo Sanchez-Ante

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Dispensing practices of amoxicillin suspension by community pharmacists by Preeti Jaggi, Latania Logan

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Explicit criteria for prioritization of cataract surgery by Escobar Antonio, M Quintana José, Bilbao Amaia

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The use of digital pathology and image analysis in clinical trials by Robert Pell, Karin Oien, Max Robinson, Helen Pitman, Nasir Rajpoot, Jens Rittscher, David Snead, Clare Verrill, on behalf of the UK National Cancer Research Institute (NCRI)

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Novel Internet of Things based approach toward diabetes prediction using deep learning models by Anum Naseem, Raja Habib, Tabbasum Naz, Muhammad Atif, Muhammad Arif, Samia Allaoua Chelloug

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A novel approach to analyzing lung cancer mortality disparities: Using the exposome and a graph-theoretical toolchain by Paul D Juarez, Darryl B Hood, Gary L Rogers, Suzanne H Baktash, Arnold M Saxton, Patricia Matthews-Juarez, Wansoo Im, Myriam Patricia Cifuentes, Charles A Phillips, Maureen Y Lichtveld, Michael A Langston

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Application of artificial intelligence in triage in emergencies and disasters: a systematic review by Azadeh Tahernejad, Ali Sahebi, Ali Salehi Sahl Abadi, Mehdi Safari

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The Digital Therapeutics Real-World Evidence Framework: An Approach for Guiding Evidence-Based Digital Therapeutics Design, Development, Testing, and Monitoring by Meelim Kim, Kevin Patrick, Camille Nebeker, Job Godino, Spencer Stein, Predrag Klasnja, Olga Perski, Clare Viglione, Aaron Coleman, Eric Hekler

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Awareness and Use of the Sickle Cell Disease Toolbox by Primary Care Providers in North Carolina by Stephanie O. Ibemere, Paula Tanabe, Emily Bonnabeau, Gary Rains, Kern Eason, Marian F. Earls, Nirmish Shah

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Aportes de la Historia y la Filosofía en la enseñanza de las ciencias a partir de la actividad experimental asociada a la hidráulica by Helga Almeida Sánchez, Edwin Germán García Arteaga

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A journey from molecule to physiology and in silico tools for drug discovery targeting the transient receptor potential vanilloid type 1 (TRPV1) channel by Cesar A. Amaya-Rodriguez, Cesar A. Amaya-Rodriguez, Karina Carvajal-Zamorano, Daniel Bustos, Daniel Bustos, Melissa Alegría-Arcos, Karen Castillo, Karen Castillo

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WISARD: workbench for integrated superfast association studies for related datasets by Sungyoung Lee, Sungkyoung Choi, Dandi Qiao, Michael Cho, Edwin K. Silverman, Taesung Park, Sungho Won

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The Effectiveness of Machine Learning Systems' Accuracy in Predicting Heart Stroke Using Socio-Demographic and Risk Factors - A Comparative Analysis of Various Models by Nihar Ranjan Panda, Kamal Lochan Mahanta, Jitendra Kumar Pati, Ruchi Bhuyan, Soumya subhashree satapathy

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Development of Registry Data to Create Interactive Doctor-Patient Platforms for Personalized Patient Care, Taking the Example of the DESTINY System by Arnfin Bergmann, Martin Stangel, Markus Weih, Philip van Hövell, Stefan Braune, Monika Köchling, Fabian Roßnagel

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Detecting performance difficulty of learners in colonoscopy: Evidence from eye-tracking by Xin Liu, Bin Zheng, Xiaoqin Duan, Wenjing He, Yuandong Li, Jinyu Zhao, Chen Zhao, Lin Wang

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Predicting COVID-19 exposure risk perception using machine learning by Nan Zou Bakkeli

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Machine learning approach to study social determinants of chronic illness in India: A comparative analysis by Aakanksha Agarwala, Barun Barua, Genevieve Chyrmang, Manab Deka, Kangkana Bora

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Using advanced analytics to help identify women who are more likely to have a severe subjective experience of vulvovaginal atrophy: a modeling study by Rossella E. Nappi, Nicholas Panay, Santiago Palacios, Vivek Banerji, Genevieve Hall, Martire Particco, Dan Atkins

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