Bilaketaren emaitzak

Tradeoffs between accuracy measures for electronic health care data algorithms nork Jessica Chubak, Gaia Pocobelli, Noel S. Weiss

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Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value nork Anne‐Laure Boulesteix, Christine Porzelius, Martin Däumer

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Calibrating predictive model estimates to support personalized medicine nork Xiaoqian Jiang, Melanie Osl, Jihoon Kim, Lucila Ohno‐Machado

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Toward Big Data Analytics nork Simon Lebech Cichosz, Mette Dencker Johansen, Ole Hejlesen

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Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges nork Ruben Amarasingham, Anne‐Marie J. Audet, David W. Bates, I. Glenn Cohen, Martin Entwistle, Gabriel J. Escobar, Vincent Liu, Lynn Etheredge, Bernard Lo, Lucila Ohno‐Machado, Sudha Ram, Suchi Saria, Lisa M. Schilling, Anand Shah, Walter F. Stewart, Ewout W. Steyerberg, Bin Xie

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Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations nork Ivo D. Dinov, Ben Heavner, Ming Tang, Gustavo Glusman, Kyle Chard, Mike D’Arcy, Ravi Madduri, Judy Pa, Cathie Spino, Carl Kesselman, Ian Foster, Eric W. Deutsch, Nathan D. Price, John D. Van Horn, Joseph Ames, Kristi Clark, Leroy Hood, Benjamin M. Hampstead, William T. Dauer, Arthur W. Toga

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Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing nork Noémie Elhadad, D. Demner-Fushman

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Disease Prediction by Machine Learning Over Big Data From Healthcare Communities nork Min Chen, Yixue Hao, Kai Hwang, Lu Wang, Lin Wang

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Artificial intelligence in healthcare: past, present and future nork Fei Jiang, Yong Jiang, Hui Zhi, Yi Dong, Hao Li, Sufeng Ma, Yilong Wang, Qiang Dong, Haipeng Shen, Yongjun Wang

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Using predictive analytics and big data to optimize pharmaceutical outcomes nork Inmaculada Hernandez, Yuting Zhang

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Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome nork Christos Davatzikos, Saima Rathore, Spyridon Bakas, Sarthak Pati, Mark Bergman, Ratheesh Kalarot, Patmaa Sridharan, Yangming Ou, Nariman Jahani, Eric A. Cohen, Hamed Akbari, Birkan Tunç, Jimit Doshi, Drew Parker, Michael Hsieh

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Healthcare predictive analytics: An overview with a focus on Saudi Arabia nork Hana Alharthi

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Comparing clinical judgment with the MySurgeryRisk algorithm for preoperative risk assessment: A pilot usability study nork Meghan Brennan, Sahil Puri, Tezcan Ozrazgat‐Baslanti, Feng Zheng, Matthew M. Ruppert, Haleh Hashemighouchani, Petar Momčilović, Xiaolin Li, Daisy Zhe Wang, Azra Bihorac

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Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics nork Lasith Adhikari, Tezcan Ozrazgat‐Baslanti, Matthew M. Ruppert, R. W. M. A. Madushani, Srajan Paliwal, Haleh Hashemighouchani, Feng Zheng, Ming Tao, Juliano Marçal Lopes, Xiaolin Li, Parisa Rashidi, Azra Bihorac

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Supervised Machine-learning Predictive Analytics for Prediction of Postinduction Hypotension nork Samir Kendale, Prathamesh Kulkarni, Andrew D. Rosenberg, Jing Wang

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Big data platform for health and safety accident prediction nork Anuoluwapo Ajayi, Lukumon O. Oyedele, Juan Manuel Dávila Delgado, Lukman Akanbi, Muhammad Bilal, Olúgbénga O. Akinadé, Oladimeji Olawale

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Data Analytics and Modeling for Appointment No-show in Community Health Centers nork Iman Mohammadi, Huanmei Wu, Ayten Türkcan, Tammy Toscos, Bradley N. Doebbeling

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Ensemble approach for developing a smart heart disease prediction system using classification algorithms nork Mustafa Jan Jan, Akber Ali Awan, Muhammad Khalid, Salman Nisar

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Predictive modelling and analytics for diabetes using a machine learning approach nork Harleen Kaur, Vinita Kumari

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Application of machine learning in rheumatic disease research nork Ki‐Jo Kim, Ilias Tagkopoulos

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