Search Results - "Predictive modelling"

Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Stu... by Richard John Woodman, Kimberley Bryant, Michael J Sorich, Alberto Pilotto, Arduino Aleksander Mangoni

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Automated Speech Analysis for Risk Detection of Depression, Anxiety, Insomnia, and Fatigue: Algorithm Development and Validation Study by Rachid Riad, Martin Denais, Marc de Gennes, Adrien Lesage, Vincent Oustric, Xuan Nga Cao, Stéphane Mouchabac, Alexis Bourla

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Constructing, validating, and updating machine learning models to predict survival in children with Ebola Virus Disease by Alicia E. Genisca, Kelsey Butler, Monique Gainey, Tzu-Chun Chu, Lawrence Huang, Eta N. Mbong, Stephen B. Kennedy, Razia Laghari, Fiston Nganga, Rigobert F. Muhayangabo, Himanshu Vaishnav, Shiromi M. Perera, Moyinoluwa Adeniji, Adam C. Levine, Ian C. Michelow, Andrés Colubri

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Improved strength prediction combining clinically available measures of skeletal muscle mass and quality by Brianna Bourgeois, Bo Fan, Neil Johannsen, Maria Cristina Gonzalez, Bennett K. Ng, Markus J. Sommer, John A. Shepherd, Steven B. Heymsfield

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Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study by Sarda, Archana, Munuswamy, Suresh, Sarda, Shubhankar, Subramanian, Vinod

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An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study by Seungseok Lee, Wu Seong Kang, Do Wan Kim, Sang Hyun Seo, Joongsuck Kim, Soon Tak Jeong, Dong Keon Yon, Jinseok Lee

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Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach by Hansapani Rodrigo, Eldré W Beukes, Gerhard Andersson, Vinaya Manchaiah

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Machine learning for identifying benign and malignant of thyroid tumors: A retrospective study of 2,423 patients by Yuan-yuan Guo, Zhi-jie Li, Chao Du, Jun Gong, Pu Liao, Jia-xing Zhang, Cong Shao

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NK Cell Mitochondrial Membrane Potential-Associated Model Predicts Outcomes in Critically Ill Patients with COVID-19 by Ma Q, Luo G, Wang F, Li H, Li X, Liu Y, Li Z, Guo Y, Li Y

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Development and Validation of a Clinical and Laboratory-Based Nomogram for Predicting Coronary Microvascular Obstruction in NSTEMI Patients After Primary PCI by Liu T, Wang C, Wang L, Shi X, Li X, Chen J, Xuan H, Li D, Xu T

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Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone by Kim, Heejung, Lee, SungHee, Lee, SangEun, Hong, Soyun, Kang, HeeJae, Kim, Namhee

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World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions by Stephen Kaptoge, Lisa Pennells, Dirk De Bacquer, Marie Therese Cooney, Maryam Kavousi, Gretchen Stevens, Leanne Margaret Riley, Stefan Savin, Taskeen Khan, Servet Altay, Philippe Amouyel, Gerd Assmann, Steven Bell, Yoav Ben-Shlomo, Lisa Berkman, Joline W Beulens, Cecilia Björkelund, Michael Blaha, Dan G Blazer, Thomas Bolton, Ruth Bonita Beaglehole, Hermann Brenner, Eric J Brunner, Edoardo Casiglia, Parinya Chamnan, Yeun-Hyang Choi, Rajiv Chowdry, Sean Coady, Carlos J Crespo, Mary Cushman, Gilles R Dagenais, Ralph B D'Agostino Sr, Makoto Daimon, Karina W Davidson, Gunnar Engström, Ian Ford, John Gallacher, Ron T Gansevoort, Thomas Andrew Gaziano, Simona Giampaoli, Greg Grandits, Sameline Grimsgaard, Diederick E Grobbee, Vilmundur Gudnason, Qi Guo, Hanna Tolonen, Steve Humphries, Hiroyasu Iso, J Wouter Jukema, Jussi Kauhanen, Andre Pascal Kengne, Davood Khalili, Wolfgang Koenig, Daan Kromhout, Harlan Krumholz, TH Lam, Gail Laughlin, Alejandro Marín Ibañez, Tom W Meade, Karel G M Moons, Paul J Nietert, Toshiharu Ninomiya, Børge G Nordestgaard, Christopher O'Donnell, Luigi Palmieri, Anushka Patel, Pablo Perel, Jackie F Price, Rui Providencia, Paul M Ridker, Beatriz Rodriguez, Annika Rosengren, Ronan Roussel, Masaru Sakurai, Veikko Salomaa, Shinichi Sato, Ben Schöttker, Nawar Shara, Jonathan E Shaw, Hee-Choon Shin, Leon A Simons, Eleni Sofianopoulou, Johan Sundström, Henry Völzke, Robert B Wallace, Nicholas J Wareham, Peter Willeit, David Wood, Angela Wood, Dong Zhao, Mark Woodward, Goodarz Danaei, Gregory Roth, Shanthi Mendis, Oyere Onuma, Cherian Varghese, Majid Ezzati, Ian Graham, Rod Jackson, John Danesh, Emanuele Di Angelantonio

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Representation of warm conveyor belts in sub-seasonal forecast models and the link to Atlantic-European weather regimes by Wandel, Jan Lucas

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Space-Geodetic Techniques

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Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2018

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Lactation in Farm Animals Biology, Physiological Basis, Nutritional Requirements, and Modelization

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Mechanical Characterization of Pharmaceutical Powders by Nanoindentation and Correlation with Their Behavior during Grinding by Laura Baraldi, Davide De Angelis, Roberto Bosi, Roberto Pennini, Irene Bassanetti, Andrea Benassi, Guido Enrico Bellazzi

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Machine learning predicts improvement of functional outcomes in traumatic brain injury patients after inpatient rehabilitation by Irene Say, Yiling Elaine Chen, Matthew Z. Sun, Jingyi Jessica Li, Daniel C. Lu, Daniel C. Lu, Daniel C. Lu

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Baidu Index and COVID-19 Epidemic Forecast: Evidence From China by Jianchun Fang, Xinyi Zhang, Yang Tong, Yuxin Xia, Hui Liu, Keke Wu

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Relationships between Exercise Behavior and Anger Control of Hospital Nurses by Yu-Ri Kim, Han-Gyo Choi, Hye-Ah Yeom

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