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	7541.	Experimental-Computational Study of Carbon Nanotube Effects on Mitochondrial Respiration: In Silico Nano-QSPR Machine Learning Models Based on New Raman Spectra Transform with Markov-Shannon Entropy Invariants. [electronic resource] by González-Durruthy, Michael Alberici, Luciane C Curti, Carlos Naal, Zeki Atique-Sawazaki, David T Vázquez-Naya, José M González-Díaz, Humberto Munteanu, Cristian R Producer: 20180129 In: Journal of chemical information and modeling vol. 57 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7542.	Prediction of pathologic femoral fractures in patients with lung cancer using machine learning algorithms: Comparison of computed tomography-based radiological features with clinical features versus without clinical features. [electronic resource] by Oh, Eunsun Seo, Sung Wook Yoon, Young Cheol Kim, Dong Wook Kwon, Sunyoung Yoon, Sungroh Producer: 20180301 In: Journal of orthopaedic surgery (Hong Kong) vol. 25 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7543.	Targeting weight loss interventions to reduce cardiovascular complications of type 2 diabetes: a machine learning-based post-hoc analysis of heterogeneous treatment effects in the Look AHEAD trial. [electronic resource] by Baum, Aaron Scarpa, Joseph Bruzelius, Emilie Tamler, Ronald Basu, Sanjay Faghmous, James Producer: 20180913 In: The lancet. Diabetes & endocrinology vol. 5 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7544.	Introducing Machine Learning to Detect Personality Faking-Good in a Male Sample: A New Model Based on Minnesota Multiphasic Personality Inventory-2 Restructured Form Scales and Reaction Times. [electronic resource] by Mazza, Cristina Monaro, Merylin Orrù, Graziella Burla, Franco Colasanti, Marco Ferracuti, Stefano Roma, Paolo Publication details: Frontiers in psychiatry 2019 In: Frontiers in psychiatry vol. 10 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7545.	Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea. [electronic resource] by Yeom, Jong-Min Park, Seonyoung Chae, Taebyeong Kim, Jin-Young Lee, Chang Suk Publication details: Sensors (Basel, Switzerland) May 2019 In: Sensors (Basel, Switzerland) vol. 19 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7546.	Integrating Machine Learning With Microsimulation to Classify Hypothetical, Novel Patients for Predicting Pregabalin Treatment Response Based on Observational and Randomized Data in Patients With Painful Diabetic Peripheral Neuropathy. [electronic resource] by Alexander, Joe Edwards, Roger A Manca, Luigi Grugni, Roberto Bonfanti, Gianluca Emir, Birol Whalen, Ed Watt, Steve Brodsky, Marina Parsons, Bruce Publication details: Pragmatic and observational research 2019 In: Pragmatic and observational research vol. 10 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7547.	Comparison of Multi-class Machine Learning Methods for the Identification of Factors Most Predictive of Prognosis in Neurobehavioral assessment of Pediatric Severe Disorder of Consciousness through LOCFAS scale. [electronic resource] by Molteni, Erika Colombo, Katia Beretta, Elena Galbiati, Susanna Santos Canas, Liane Dos Modat, Marc Strazzer, Sandra Producer: 20200225 In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2019 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7548.	Infection status outcome, machine learning method and virus type interact to affect the optimised prediction of hepatitis virus immunoassay results from routine pathology laboratory assays in unbalanced data. [electronic resource] by Richardson, Alice M Lidbury, Brett A Producer: 20140206 In: BMC bioinformatics vol. 14 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7549.	Using a multi-staged strategy based on machine learning and mathematical modeling to predict genotype-phenotype risk patterns in diabetic kidney disease: a prospective case-control cohort analysis. [electronic resource] by Leung, Ross K K Wang, Ying Ma, Ronald C W Luk, Andrea O Y Lam, Vincent Ng, Maggie So, Wing Yee Tsui, Stephen K W Chan, Juliana C N Producer: 20140107 In: BMC nephrology vol. 14 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7550.	In Silico Calculation of Infinite Dilution Activity Coefficients of Molecular Solutes in Ionic Liquids: Critical Review of Current Methods and New Models Based on Three Machine Learning Algorithms. [electronic resource] by Paduszyński, Kamil Producer: 20170731 In: Journal of chemical information and modeling vol. 56 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7551.	Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy. [electronic resource] by Li, Hongming Galperin-Aizenberg, Maya Pryma, Daniel Simone, Charles B Fan, Yong Producer: 20190923 In: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology vol. 129 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7552.	Characteristics Associated With Decreased or Increased Mortality Risk From Glycemic Therapy Among Patients With Type 2 Diabetes and High Cardiovascular Risk: Machine Learning Analysis of the ACCORD Trial. [electronic resource] by Basu, Sanjay Raghavan, Sridharan Wexler, Deborah J Berkowitz, Seth A Producer: 20180723 In: Diabetes care vol. 41 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7553.	Correction to Analysis of the Geometrical Evolution in On-the-Fly Surface-Hopping Nonadiabatic Dynamics with Machine Learning Dimensionality Reduction Approaches: Classical Multidimensional Scaling and Isometric Feature Mapping. [electronic resource] by Li, Xusong Xie, Yu Hu, Deping Lan, Zhenggang Publication details: Journal of chemical theory and computation 12 2017 In: Journal of chemical theory and computation vol. 13 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7554.	Automated method for extraction of lung tumors using a machine learning classifier with knowledge of radiation oncologists on data sets of planning CT and FDG-PET/CT images. [electronic resource] by Arimura, Hidetaka Jin, Ze Shioyama, Yoshiyuki Nakamura, Katsumasa Magome, Taiki Sasaki, Masayuki Producer: 20150619 In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2013 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7555.	Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms. [electronic resource] by Lamping, Florian Jack, Thomas Rübsamen, Nicole Sasse, Michael Beerbaum, Philipp Mikolajczyk, Rafael T Boehne, Martin Karch, André Producer: 20180822 In: BMC pediatrics vol. 18 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7556.	Predictive analysis of urban waste generation for the city of Bogotá, Colombia, through the implementation of decision trees-based machine learning, support vector machines and artificial neural networks. [electronic resource] by Solano Meza, Johanna Karina Orjuela Yepes, David Rodrigo-Ilarri, Javier Cassiraga, Eduardo Publication details: Heliyon Nov 2019 In: Heliyon vol. 5 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7557.	Response to Letters to the Editor regarding the editorial "Artificial intelligence, machine learning, and the human interface in medicine: is there a sweet spot for oral and maxillofacial radiology?" [electronic resource] by Tadinada, Aditya Producer: 20200106 In: Oral surgery, oral medicine, oral pathology and oral radiology vol. 128 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7558.	Radiation metabolomics. 3. Biomarker discovery in the urine of gamma-irradiated rats using a simplified metabolomics protocol of gas chromatography-mass spectrometry combined with random forests machine learning algorithm. [electronic resource] by Lanz, Christian Patterson, Andrew D Slavík, Josef Krausz, Kristopher W Ledermann, Monika Gonzalez, Frank J Idle, Jeffrey R Producer: 20090923 In: Radiation research vol. 172 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7559.	Evaluation of machine learning methodology for the prediction of healthcare resource utilization and healthcare costs in patients with critical limb ischemia-is preventive and personalized approach on the horizon? [electronic resource] by Berger, Jeffrey S Haskell, Lloyd Ting, Windsor Lurie, Fedor Chang, Shun-Chiao Mueller, Luke A Elder, Kenneth Rich, Kelly Crivera, Concetta Schein, Jeffrey R Alas, Veronica Publication details: The EPMA journal Mar 2020 In: The EPMA journal vol. 11 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7560.	A multi-scanner study of MRI radiomics in uterine cervical cancer: prediction of in-field tumor control after definitive radiotherapy based on a machine learning method including peritumoral regions. [electronic resource] by Takada, Akiyo Yokota, Hajime Watanabe Nemoto, Miho Horikoshi, Takuro Matsushima, Jun Uno, Takashi Producer: 20201116 In: Japanese journal of radiology vol. 38 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)

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