Search Results - Joseph Hackin~

Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study by Stefan Kuhle, Bryan Maguire, Hongqun Zhang, David Hamilton, Alexander C. Allen, K. S. Joseph, Victoria M. Allen

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Comparison of Multivariable Logistic Regression and Machine Learning Models for Predicting Bronchopulmonary Dysplasia or Death in Very Preterm Infants by Faiza Khurshid, Helen Coo, Amal Khalil, Jonathan Messiha, Joseph Y. Ting, Jonathan Wong, Prakesh S. Shah, Prakesh S. Shah, Prakesh S. Shah

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Small patient datasets reveal genetic drivers of non-small cell lung cancer subtypes using machine learning for hypothesis generation by Moses Cook, Bessi Qorri, Amruth Baskar, Jalal Ziauddin, Luca Pani, Shashibushan Yenkanchi, Joseph Geraci

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The Neonatal Immune System: A Unique Host-Microbial Interface by Joseph M. Bliss

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Predicting Flow Rate Escalation for Pediatric Patients on High Flow Nasal Cannula Using Machine Learning by Joshua A. Krachman, Jessica A. Patricoski, Jessica A. Patricoski, Christopher T. Le, Jina Park, Ruijing Zhang, Kirby D. Gong, Indranuj Gangan, Raimond L. Winslow, Joseph L. Greenstein, James Fackler, Anthony A. Sochet, Anthony A. Sochet, Jules P. Bergmann

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Offline Evaluation Matters: Investigation of the Influence of Offline Performance of EMG-Based Neural-Machine Interfaces on User Adaptation, Cognitive Load, and Physical Efforts in... by Robert M. Hinson, Joseph Berman, I-Chieh Lee, William G. Filer, He Huang

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Diagnostic and prognostic capabilities of a biomarker and EMR‐based machine learning algorithm for sepsis by Ishan Taneja, Gregory L. Damhorst, Carlos Lopez‐Espina, Sihai Dave Zhao, Ruoqing Zhu, Shah Khan, Karen White, James Kumar, Andrew Vincent, Leon Yeh, Shirin Majdizadeh, William Weir, Scott Isbell, James Skinner, Manubolo Devanand, Syed Azharuddin, Rajamurugan Meenakshisundaram, Riddhi Upadhyay, Anwaruddin Syed, Thomas Bauman, Joseph Devito, Charles Heinzmann, Gregory Podolej, Lanxin Shen, Sanjay Sharma Timilsina, Lucas Quinlan, Setareh Manafirasi, Enrique Valera, Bobby Reddy Jr, Rashid Bashir

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Severity Index for Suspected Arbovirus (SISA): Machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection. by Rachel Sippy, Daniel F Farrell, Daniel A Lichtenstein, Ryan Nightingale, Megan A Harris, Joseph Toth, Paris Hantztidiamantis, Nicholas Usher, Cinthya Cueva Aponte, Julio Barzallo Aguilar, Anthony Puthumana, Christina D Lupone, Timothy Endy, Sadie J Ryan, Anna M Stewart Ibarra

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Actual Causality by Halpern, Joseph Y.

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The man who overcame two epidemics (to the 160th anniversary of the birth of V.A. Haffkine) by O.H. Ivanko

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Identification of Key Influencers for Secondary Distribution of HIV Self-Testing Kits Among Chinese Men Who Have Sex With Men: Development of an Ensemble Machine Learning Approach by Fengshi Jing, Yang Ye, Yi Zhou, Yuxin Ni, Xumeng Yan, Ying Lu, Jason Ong, Joseph D Tucker, Dan Wu, Yuan Xiong, Chen Xu, Xi He, Shanzi Huang, Xiaofeng Li, Hongbo Jiang, Cheng Wang, Wencan Dai, Liqun Huang, Wenhua Mei, Weibin Cheng, Qingpeng Zhang, Weiming Tang

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Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation by Vaid, Akhil, Somani, Sulaiman, Russak, Adam J, De Freitas, Jessica K, Chaudhry, Fayzan F, Paranjpe, Ishan, Johnson, Kipp W, Lee, Samuel J, Miotto, Riccardo, Richter, Felix, Zhao, Shan, Beckmann, Noam D, Naik, Nidhi, Kia, Arash, Timsina, Prem, Lala, Anuradha, Paranjpe, Manish, Golden, Eddye, Danieletto, Matteo, Singh, Manbir, Meyer, Dara, O'Reilly, Paul F, Huckins, Laura, Kovatch, Patricia, Finkelstein, Joseph, Freeman, Robert M., Argulian, Edgar, Kasarskis, Andrew, Percha, Bethany, Aberg, Judith A, Bagiella, Emilia, Horowitz, Carol R, Murphy, Barbara, Nestler, Eric J, Schadt, Eric E, Cho, Judy H, Cordon-Cardo, Carlos, Fuster, Valentin, Charney, Dennis S, Reich, David L, Bottinger, Erwin P, Levin, Matthew A, Narula, Jagat, Fayad, Zahi A, Just, Allan C, Charney, Alexander W, Nadkarni, Girish N, Glicksberg, Benjamin S

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Effectiveness of sexual health influencers identified by an ensemble machine learning model in promoting secondary distribution of HIV self-testing among men who have sex with men... by Ying Lu, Yuxin Ni, Qianyun Wang, Fengshi Jing, Yi Zhou, Xi He, Shanzi Huang, Wencan Dai, Dan Wu, Joseph D. Tucker, Hongbo Jiang, Liqun Huang, Weiming Tang

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A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Me... by Yuxin Ni, Ying Lu, Fengshi Jing, Qianyun Wang, Yewei Xie, Xi He, Dan Wu, Rayner Kay Jin Tan, Joseph D Tucker, Xumeng Yan, Jason J Ong, Qingpeng Zhang, Hongbo Jiang, Wencan Dai, Liqun Huang, Wenhua Mei, Yi Zhou, Weiming Tang

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Neural Microelectrodes: Design and Applications by Pancrazio, Joseph

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The Shifts in Hizbullah's Ideology Religious Ideology, Political Ideology, and Political Program by Alagha, Joseph

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The Shifts in Hizbullah's Ideology Religious Ideology, Political Ideology, and Political Program by Alagha, Joseph

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Ceramide synthase 6 (CerS6) is upregulated in alcohol-associated liver disease and exhibits sex-based differences in the regulation of energy homeostasis and lipid droplet accumula... by Sookyoung Jeon, Eleonora Scorletti, Joseph Dempsey, Delfin Buyco, Chelsea Lin, Yedidya Saiman, Susovon Bayen, Julia Harkin, Jasmin Martin, Royce Hooks, Besim Ogretmen, Josepmaria Argemi, Luma Melo, Ramon Bataller, Rotonya M. Carr

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A Place of Opportunity by Joseph N. Cooper, Billy Hawkins

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The Transfer Effect by Joseph N. Cooper, Billy Hawkins

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