Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms by Norhan Khallaf, Osama Abd-El Rouf, Abeer D. Algarni, Mohy Hadhoud, Ahmed Kafafy

“…This led to the application of Fractional Knapsack dynamic programming with Deep Q Network to maximize capacity utilization while achieving optimal routes. …”
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Factors influencing online patient-reported ratings among shoulder surgeons by Krishna N. Chopra, MA, Sameer R. Khawaja, BS, Anna L. Gorsky, BS, Nicole L. Greene, BA, Frank L. Vazquez, BS, Joanne Y. Zhou, MD, Zaamin B. Hussain, MD, MEd, Michael B. Gottschalk, MD, Eric R. Wagner, MD, MS

“…When comparing fellowships, shoulder and elbow fellowship–trained surgeons had a greater mean number of ratings on Google than those who completed a sports medicine fellowship. …”
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Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community-Acquired Pneumonia by George S. Chen, BSc, Terry Lee, PhD, Jennifer L.Y. Tsang, MD, Alexandra Binnie, MD, Anne McCarthy, MD, Juthaporn Cowan, MD, Patrick Archambault, MD, Francois Lellouche, MD, Alexis F. Turgeon, MD, MSc, Jennifer Yoon, MD, Francois Lamontagne, MD, Allison McGeer, MD, Josh Douglas, MD, Peter Daley, MD, Robert Fowler, MD, David M. Maslove, MD, Brent W. Winston, MD, Todd C. Lee, MD, Karen C. Tran, MD, Matthew P. Cheng, MD, Donald C. Vinh, MD, John H. Boyd, MD, Keith R. Walley, MD, Joel Singer, PhD, John C. Marshall, MD, James A. Russell, MD, for the Community-Acquired Pneumonia: Toward InnoVAtive Treatment (CAPTIVATE) Investigators

“…This retrospective observational study trained separate models using random-forest classifier (RFC), support vector machines (SVMs), Extreme Gradient Boosting (XGBoost), and multilayer perceptron (MLP) to predict three endpoints: eventual use of invasive ventilation, vasopressors, and RRT during hospitalization. …”
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Burden of scabies and bacterial skin infection in Kiribati: results of a national population-based survey 2023Research in context by Rebecca F. Anderson, Temea Bauro, Susanna J. Lake, Marou Tikataake, Matthew Parnaby, Jeremy Hill, Tanebu J. Tong-Kaunibwe, Anneke C. Grobler, Revite Kirition, Andrew C. Steer

“…Funding: The study was funded by the Cameron Foundation (Australia) and the World Scabies Program, Murdoch Children's Research Institute.…”
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A calibration framework toward model generalization for bacteria concentration estimation in water resource recovery facilities by Fahad Aljehani, Ibrahima N’Doye, Pei-Ying Hong, Mohammad Khalil Monjed, Taous-Meriem Laleg-Kirati

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A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration by Victor Barbosa Slivinskis, Isabela Agi Maluli, Joshua Seth Broder

“…While the United States Food and Drug Administration (FDA) employs an adverse event reporting program (MedWatch) and database (MAUDE), other data sources and methods might have utility to identify potentially dangerous medical devices. …”
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Deep learning for property prediction of natural fiber polymer composites by Ivan P. Malashin, Dmitry Martysyuk, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Vadim Tynchenko

“…For example, Li et al. (2023) achieved an $$R^2>0.96$$ for predicting stiffness tensors of carbon fiber composites using a hybrid CNN–MLP model trained on microstructure images and two-point statistics. …”
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Chronic thalamic recordings for idiopathic generalized epilepsy and Lennox–Gastaut syndrome: Ictal and interictal electrophysiological findings by Katie L. Bullinger, Angela N. Crudele, Martha J. Morrell, Lise Johnson

“…Ictal recordings were evaluated by trained epileptologists for preictal and ictal onset patterns. …”
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A model of indoor thermal condition based on traditional acehnese houses using artificial neural network by Muslimsyah, Abdul Munir, Yuwaldi Away, Abdullah, Teuku Yuliar Arif, Andri Novandri

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Frailty-Focused Movement Monitoring: A Single-Camera System Using Joint Angles for Assessing Chair-Based Exercise Quality by Teng Qi, Miyuki Iwamoto, Dongeun Choi, Noriyuki Kida, Noriaki Kuwahara

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Early diagnosis and Early Start Denver Model intervention in autism spectrum disorders delivered in an Italian Public Health System service by Devescovi R, Monasta L, Mancini A, Bin M, Vellante V, Carrozzi M, Colombi C

“…This study evaluated the effectiveness of an early ESDM-inspired intervention, in a small group of toddlers, delivered at low intensity by the Italian Public Health System.Methods: Twenty-one toddlers at risk for autism spectrum disorders, aged 20–36 months, received 3 hours/wk of one-to-one ESDM-inspired intervention by trained therapists, combined with parents’ and teachers’ active engagement in ecological implementation of treatment. …”
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Analyzing Patient Complaints in Web-Based Reviews of Private Hospitals in Selangor, Malaysia, Using Large Language Model–Assisted Content Analysis: Mixed Methods Study by Muhammad Hafiz Sulaiman, Nora Muda, Fatimah Abdul Razak

“…Fake reviews were filtered out using natural language processing and machine learning algorithms trained on yelp.com validated datasets. GPT-4o mini model application programming interface (API) was then applied to filter out reviews without any quality issues. …”
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Proportional myoelectric control of a virtual bionic arm in participants with hemiparesis, muscle spasticity, and impaired range of motion by Caleb J. Thomson, Fredi R. Mino, Danielle R. Lopez, Patrick P. Maitre, Steven R. Edgley, Jacob A. George

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Midwife-led birthing centres in Bangladesh, Pakistan and Uganda: an economic evaluation of case study sites by AKM Fazlur Rahman, Oliva Bazirete, Emily J Callander, Abdul Halim, Abu Sayeed Abdullah, Caroline Homer, Andrea Nove, Sabera Turkmani, Mandy Forrester, Alayna Carrandi, Sally Pairman, Scovia Nalugo Mbalinda, Vanessa Scarf, Sheila Clow, Rose Chalo Nabirye, Saad Ibrahim Rasheed, Arslan Munir Turk, Shree Mandke, Martin Boyce

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Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis by Ahmad Idrissi-Yaghir, Kamyar Arzideh, Henning Schäfer, Bahadir Eryilmaz, Mikel Bahn, Yutong Wen, Katarzyna Borys, Eva Hartmann, Cynthia Schmidt, Obioma Pelka, Johannes Haubold, Christoph M Friedrich, Felix Nensa, René Hosch

“…The complexity and specialized nature of FHIR present challenges for LLMs, which are typically trained on broad datasets and may have a limited understanding of the nuances required for domain-specific tasks. …”
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Machine learning analysis of pathological images to predict 1-year progression-free survival of immunotherapy in patients with small-cell lung cancer by Hirotaka Matsumoto, Hiroaki Akamatsu, Nobuyuki Yamamoto, Yuki Sato, Daichi Fujimoto, Yoshihiko Taniguchi, Motohiro Tamiya, Yasuhiro Koh, Junya Fukuoka, Hisashi Tanaka, Naoki Furuya, Ryota Shibaki, Tsukasa Nozawa, Akira Sano, Yuka Kitamura, Takashi Kijima, Toshihide Yokoyama, Satoru Miura, Akito Hata, Jun Sugisaka

“…Hence, we aimed to develop a predictive biomarker of immunotherapy efficacy through a machine learning analysis of the TIME.Methods We conducted a biomarker analysis in a prospective study of patients with extensive-stage SCLC who received chemoimmunotherapy as the first-line treatment. We trained a model to predict 1-year progression-free survival (PFS) using pathological images (H&E, programmed cell death-ligand 1 (PD-L1), and double immunohistochemical assay (cluster of differentiation 8 (CD8) and forkhead box P3 (FoxP3)) and patient information. …”
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Diagnostic accuracy of the international classification of disease “I26” code to detect acute pulmonary embolism in a surveillance network by Jeffrey A. Kline, Jesse O. Wrenn, Mazin F. Alam, Alexis N. Drinkhorn, Conner D. Slotnick, Fawas Shaman, Christopher E. Conn, Steven J. Korzeniewski, Christopher Kabrhel

“…We used 2 methods for coding computed tomography pulmonary angiogram (CTPA) reports to derive a criterion or gold standard for PE diagnosis: (1) research associates were trained to interpret the CTPA reports, and (2) a validated Regular Expression computer program was used to interpret PE on CTPA reports. …”
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Community-based newborn care utilization and associated factors in Nekemte City, Oromia, Ethiopia, 2023 by Dawit Tesfaye Daka, Bizuneh Wakuma, Werku Etafa, Dereje Temesgen Chewaka, Ashenafi Zewdie, Mekdelawit Birhanu Ayele, Yohannis Midekso Beriso, Bruck Tesfaye Legesse, Wandimu Muche Mekonen

“…Abstract Background Community-Based Newborn Care [CBNC] program aims to improve the health of the newborns. …”
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Traumatic dental injuries in the first year of life and related risk factors in three regions of Brazil: a multicenter birth cohort study by Carlos Alberto Feldens, Bruno Antonio Sehn Konzen, Elisa Maria Rosa de Barros Coelho, Alessandra Castro Alves, Eliane Gerson Feldens, Márcia Regina Vítolo, Paulo Floriani Kramer

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Prevalence of diabetes and diabetic retinopathy among adults aged 50 years and above in Nepal: a population-based cross-sectional survey by Reeta Gurung, Sailesh Kumar Mishra, Sandip Das Sanyam, Yuddha Dhoj Sapkota, Mohan Krishna Shrestha, Ranjan Shah, Alina Sapkota, Chet Raj Pant, Brish Bahadur Shahi

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