Search Results - FC Kochin~

Clinical analysis of single filtration plasmapheresis using continuous renal replacement therapy machines in kidney transplantation by Eunsoo Lim, Yujeong Kim, Jong Cheol Jeong, Inwhee Park, Heungsoo Kim, Su Hyung Lee, Chang-Kwon Oh, Gyu-Tae Shin

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A Predictive Model for Perinatal Brain Injury Using Machine Learning Based on Early Birth Data by Ga Won Jeon, Yeong Seok Lee, Won-Ho Hahn, Yong Hoon Jun

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Revolutionising food advertising monitoring: a machine learning-based method for automated classification of food videos by Michele Bittencourt Rodrigues, Victória Pedrazzoli Ferreira, Rafael Moreira Claro, Ana Paula Bortoletto Martins, Sandra Avila, Paula Martins Horta

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Endocannabinoids regulate cocaine-associated memory through brain AEA-CB1R signalling activation by Hongchun Li, Rong Chen, Yuanyi Zhou, Haichuan Wang, Luqiang Sun, Zhen Yang, Lin Bai, Jie Zhang

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Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments by Jeremy A. Irvin, Andrew A. Kondrich, Michael Ko, Pranav Rajpurkar, Behzad Haghgoo, Bruce E. Landon, Robert L. Phillips, Stephen Petterson, Andrew Y. Ng, Sanjay Basu

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Identifying Psychosocial and Ecological Determinants of Enthusiasm In Youth: Integrative Cross-Sectional Analysis Using Machine Learning by Roberta M Dolling-Boreham, Akshay Mohan, Mohamed Abdelhack, Tara Elton-Marshall, Hayley A Hamilton, Angela Boak, Daniel Felsky

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Machine Learning-Based Prediction Models for Different Clinical Risks in Different Hospitals: Evaluation of Live Performance by Hong Sun, Kristof Depraetere, Laurent Meesseman, Patricia Cabanillas Silva, Ralph Szymanowsky, Janis Fliegenschmidt, Nikolai Hulde, Vera von Dossow, Martijn Vanbiervliet, Jos De Baerdemaeker, Diana M Roccaro-Waldmeyer, Jörg Stieg, Manuel Domínguez Hidalgo, Fried-Michael Dahlweid

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Prevalence and predicting factors of perceived stress among Bangladeshi university students using machine learning algorithms by Rumana Rois, Manik Ray, Atikur Rahman, Swapan K. Roy

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Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study by Yun Kwan Kim, Won-Doo Seo, Sun Jung Lee, Ja Hyung Koo, Gyung Chul Kim, Hee Seok Song, Minji Lee

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Fat free mass in patients with ischemic heart disease treated with corrective surgery without heart-lung machine by Raúl Ramón Rizo Rodríguez, Marcia Mesa Díaz, Ana Ibis Núñez Bourón, Ana Beatriz Pupo Leyte Vidal, Yergenia Matute Gaínza

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Evaluating Measles Incidence Rates Using Machine Learning and Time Series Methods in the Center of Iran, 1997-2020 by Javad Nazari, Parnia-Sadat Fathi, Nahid Sharahi, Majid Taheri, Payam Amini, Amir Almasi-Hashiani

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A macrophage related signature for predicting prognosis and drug sensitivity in ovarian cancer based on integrative machine learning by Bo Zhao, Lipeng Pei

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Asymmetric trichotomous partitioning overcomes dataset limitations in building machine learning models for predicting siRNA efficacy by Kathryn R. Monopoli, Dmitry Korkin, Anastasia Khvorova

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Identification of molecular targets of Hypericum perforatum in blood for major depressive disorder: a machine-learning pharmacological study by Zewen Xu, Ayana Meegol Rasteh, Angela Dong, Panpan Wang, Hengrui Liu

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Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning by Lifeng Han, Serge Gladkoff, Gleb Erofeev, Irina Sorokina, Betty Galiano, Goran Nenadic

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Estimating Prevalence, Demographics, and Costs of ME/CFS Using Large Scale Medical Claims Data and Machine Learning by Ashley R. Valdez, Elizabeth E. Hancock, Seyi Adebayo, David J. Kiernicki, Daniel Proskauer, John R. Attewell, Lucinda Bateman, Alfred DeMaria, Charles W. Lapp, Peter C. Rowe, Charmian Proskauer

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Two-year death prediction models among patients with Chagas Disease using machine learning-based methods. by Ariela Mota Ferreira, Laércio Ives Santos, Ester Cerdeira Sabino, Antonio Luiz Pinho Ribeiro, Léa Campos de Oliveira-da Silva, Renata Fiúza Damasceno, Marcos Flávio Silveira Vasconcelos D'Angelo, Maria do Carmo Pereira Nunes, Desirée Sant Ana Haikal

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Machine Learning for Localizing Epileptogenic-Zone in the Temporal Lobe: Quantifying the Value of Multimodal Clinical-Semiology and Imaging Concordance by Ali Alim-Marvasti, Ali Alim-Marvasti, Ali Alim-Marvasti, Ali Alim-Marvasti, Fernando Pérez-García, Fernando Pérez-García, Fernando Pérez-García, Karan Dahele, Gloria Romagnoli, Gloria Romagnoli, Beate Diehl, Beate Diehl, Rachel Sparks, Sebastien Ourselin, Matthew J. Clarkson, Matthew J. Clarkson, John S. Duncan, John S. Duncan

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Cocaine-Induced Changes in Tonic Dopamine Concentrations Measured Using Multiple-Cyclic Square Wave Voltammetry in vivo by Jason Yuen, Jason Yuen, Abhinav Goyal, Abhinav Goyal, Aaron E. Rusheen, Aaron E. Rusheen, Abbas Z. Kouzani, Michael Berk, Jee Hyun Kim, Susannah J. Tye, Charles D. Blaha, Kevin E. Bennet, Kevin E. Bennet, Dong-Pyo Jang, Kendall H. Lee, Kendall H. Lee, Hojin Shin, Yoonbae Oh, Yoonbae Oh

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Explainable machine learning model for predicting skeletal muscle loss during surgery and adjuvant chemotherapy in ovarian cancer by Wen‐Han Hsu, Ai‐Tung Ko, Chia‐Sui Weng, Chih‐Long Chang, Ya‐Ting Jan, Jhen‐Bin Lin, Hung‐Ju Chien, Wan‐Chun Lin, Fang‐Ju Sun, Kun‐Pin Wu, Jie Lee

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