Search Results - FC Kochin~

Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia. by Naizhuo Zhao, Katia Charland, Mabel Carabali, Elaine O Nsoesie, Mathieu Maheu-Giroux, Erin Rees, Mengru Yuan, Cesar Garcia Balaguera, Gloria Jaramillo Ramirez, Kate Zinszer

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Machine learning-based identification of a consensus immune-derived gene signature to improve head and neck squamous cell carcinoma therapy and outcome by Xueying Hu, Xueying Hu, Xueying Hu, Haiqun Dong, Haiqun Dong, Haiqun Dong, Wen Qin, Wen Qin, Wen Qin, Ying Bin, Ying Bin, Ying Bin, Wenhua Huang, Wenhua Huang, Wenhua Huang, Min Kang, Min Kang, Min Kang, Rensheng Wang, Rensheng Wang, Rensheng Wang

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Natural Language Processing of Referral Letters for Machine Learning-Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study by Sebastian Fudickar, Carsten Bantel, Jannik Spieker, Heinrich Töpfer, Patrick Stegeman, Henrica R Schiphorst Preuper, Michiel F Reneman, André P Wolff, Remko Soer

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Machine learning‐guided covariate selection for time‐to‐event models developed from a small sample of real‐world patients receiving bevacizumab treatment by Eleni Karatza, Apostolos Papachristos, Gregory B. Sivolapenko, Daniel Gonzalez

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The role of various physiological and bioelectrical parameters for estimating the weight status in infants and juveniles cohort from the Southern Cuba region: a machine learning st... by Taira Batista Luna, Jose Luis García Bello, Agustín Garzón Carbonell, Ana de la Caridad Román Montoya, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria, Yohandys A. Zulueta

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Machine learning methods for propensity and disease risk score estimation in high-dimensional data: a plasmode simulation and real-world data cohort analysis by Yuchen Guo, Victoria Y. Strauss, Martí Català, Annika M. Jödicke, Sara Khalid, Daniel Prieto-Alhambra, Daniel Prieto-Alhambra

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In Vitro Antioxidant and In Vivo Antigenotoxic Features of a Series of 61 Essential Oils and Quantitative Composition-Activity Relationships Modeled through Machine Learning Algori... by Milan Mladenović, Roberta Astolfi, Nevena Tomašević, Sanja Matić, Mijat Božović, Filippo Sapienza, Rino Ragno

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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 by 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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A Machine Learning Algorithm Outperforms Traditional Multiple Regression to Predict Risk of Unplanned Overnight Stay Following Outpatient Medial Patellofemoral Ligament Reconstruct... by Chimere O. Ezuma, B.S, Yining Lu, M.D, Ayoosh Pareek, M.D, Ryan Wilbur, B.S, Aaron J. Krych, M.D, Brian Forsythe, M.D, Christopher L. Camp, M.D

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Gurus and Media Sound, image, machine, text and the digital

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Socioeconomic inequalities in health-related fitness gradient shifts between 2001 and 2022 in young Polish adults by Jarosław Domaradzki, Dawid Koźlenia, Katarzyna Kochan-Jacheć, Paweł Szkudlarek, Jarosław Fugiel

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Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models by Liu, Dianbo, Clemente, Leonardo, Poirier, Canelle, Ding, Xiyu, Chinazzi, Matteo, Davis, Jessica, Vespignani, Alessandro, Santillana, Mauricio

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Detection of potential drug-drug interactions for risk of acute kidney injury: a population-based case-control study using interpretable machine-learning models by Hayato Akimoto, Hayato Akimoto, Takashi Hayakawa, Takashi Hayakawa, Takuya Nagashima, Takuya Nagashima, Kimino Minagawa, Yasuo Takahashi, Satoshi Asai, Satoshi Asai

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A Risk-Factor Model for Antineoplastic Drug-Induced Serious Adverse Events in Cancer Inpatients: A Retrospective Study Based on the Global Trigger Tool and Machine Learning by Ni Zhang, Ni Zhang, Ling-Yun Pan, Wan-Yi Chen, Huan-Huan Ji, Gui-Qin Peng, Zong-Wei Tang, Hui-Lai Wang, Yun-Tao Jia, Yun-Tao Jia, Jun Gong

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Prediction of Medical Disputes Between Health Care Workers and Patients in Terms of Hospital Legal Construction Using Machine Learning Techniques: Externally Validated Cross-Sectio... by Min Yi, Yuebin Cao, Lin Wang, Yaowen Gu, Xueqian Zheng, Jiangjun Wang, Wei Chen, Liangyu Wei, Yujin Zhou, Chenyi Shi, Yanlin Cao

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Developing the Total Health Profile, a Generalizable Unified Set of Multimorbidity Risk Scores Derived From Machine Learning for Broad Patient Populations: Retrospective Cohort Stu... by Abhishaike Mahajan, Andrew Deonarine, Axel Bernal, Genevieve Lyons, Beau Norgeot

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Safe inhalation pipe provision (SIPP): protocol for a mixed-method evaluation of an intervention to improve health outcomes and service engagement among people who use crack cocain... by Magdalena Harris, Jenny Scott, Vivian Hope, Joanna Busza, Sedona Sweeney, Andrew Preston, Mat Southwell, Niamh Eastwood, Cedomir Vuckovic, Caitlynne McGaff, Ian Yoon, Louise Wilkins, Shoba Ram, Catherine Lord, Philippe Bonnet, Peter Furlong, Natasha Simpson, Holly Slater, Lucy Platt

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Estudio comparativo de implantes de superficie lisa y rugosa: Resultados a 36 meses Machined versus rough surface implants, a clinical study: 36-month follow-up by Jorge Alberto Arismendi, Ana Lucía Mesa, Luz Piedad García, Juan Fernando Salgado, Catalina Castaño, Richard Mejía

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c-Jun N-Terminal Kinases (JNKs) in Myocardial and Cerebral Ischemia/Reperfusion Injury by Maria Shvedova, Yana Anfinogenova, Yana Anfinogenova, Elena N. Atochina-Vasserman, Elena N. Atochina-Vasserman, Igor A. Schepetkin, Igor A. Schepetkin, Dmitriy N. Atochin, Dmitriy N. Atochin

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Dermpath Quiz by Viktoryia Kazlouskaya, Elen Blochin, Karan Lal, Paul M Parker, Dirk M Elston

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