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	7601.	Corrigendum to "Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject That Underwent a Rehabilitation Treatment in the Early Stage of Stroke" [J Stroke Cerebrovasc Dis 27/11 (2018) 2962-2972]. [electronic resource] by Sale, Patrizio Ferriero, Giorgio Ciabattoni, Lucio Cortese, Anna Maria Gentile, Giovanni Ferracuti, Francesco Romeo, Luca Piccione, Francesco Masiero, Stefano Publication details: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Dec 2018 In: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association vol. 27 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7602.	On how to not misuse hierarchical clustering on principal components to define clinically meaningful patient subgroups. Response to: 'On using machine learning algorithms to define clinical meaningful patient subgroups' by Pinal-Fernandez and Mammen. [electronic resource] by Meyer, Alain Spielmann, Lionel Séverac, François Producer: 20201111 In: Annals of the rheumatic diseases vol. 79 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7603.	Machine Learning-Augmented Propensity Score-Adjusted Multilevel Mixed Effects Panel Analysis of Hands-On Cooking and Nutrition Education versus Traditional Curriculum for Medical Students as Preventive Cardiology: Multisite Cohort Study of 3,248 Trainees over 5 Years. [electronic resource] by Monlezun, Dominique J Dart, Lyn Vanbeber, Anne Smith-Barbaro, Peggy Costilla, Vanessa Samuel, Charlotte Terregino, Carol A Abali, Emine Ercikan Dollinger, Beth Baumgartner, Nicole Kramer, Nicholas Seelochan, Alex Taher, Sabira Deutchman, Mark Evans, Meredith Ellis, Robert B Oyola, Sonia Maker-Clark, Geeta Dreibelbis, Tomi Budnick, Isadore Tran, David DeValle, Nicole Shepard, Rachel Chow, Erika Petrin, Christine Razavi, Alexander McGowan, Casey Grant, Austin Bird, Mackenzie Carry, Connor McGowan, Glynis McCullough, Colleen Berman, Casey M Dotson, Kerri Niu, Tianhua Sarris, Leah Harlan, Timothy S Co-Investigators, On Behalf Of The Chop Producer: 20181001 In: BioMed research international vol. 2018 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7604.	Theodor Bücher Lecture. Metabolomics, modelling and machine learning in systems biology - towards an understanding of the languages of cells. Delivered on 3 July 2005 at the 30th FEBS Congress and the 9th IUBMB conference in Budapest. [electronic resource] by Kell, Douglas B Producer: 20060405 In: The FEBS journal vol. 273 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7605.	Cautions, concerns, and future directions for using machine learning in relation to mental health problems and clinical and forensic risks: A brief comment on "Model complexity improves the prediction of nonsuicidal self-injury" (Fox et al., 2019). [electronic resource] by Siddaway, Andy P Quinlivan, Leah Kapur, Nav O'Connor, Rory C de Beurs, Derek Producer: 20200917 In: Journal of consulting and clinical psychology vol. 88 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7606.	Identification of the Species Constituents of Maggot Populations Feeding on Decomposing Remains-Facilitation of the Determination of Post Mortem Interval and Time Since Tissue Infestation through Application of Machine Learning and Direct Analysis in Real Time-Mass Spectrometry. [electronic resource] by Beyramysoltan, Samira Ventura, Mónica I Rosati, Jennifer Y Giffen-Lemieux, Justine E Musah, Rabi A Producer: 20210120 In: Analytical chemistry vol. 92 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7607.	Clinical Proof-of-concept of a Novel Platform Utilizing Biopsy-derived Live Single Cells, Phenotypic Biomarkers, and Machine Learning Toward a Precision Risk Stratification Test for Prostate Cancer Grade Groups 1 and 2 (Gleason 3 + 3 and 3 + 4). [electronic resource] by Albala, David Manak, Michael S Varsanik, Jonathan S Rashid, Hani H Mouraviev, Vladimir Zappala, Stephen M Ette, Ene Kella, Naveen Rieger-Christ, Kimberly M Sant, Grannum R Chander, Ashok C Producer: 20190514 In: Urology vol. 124 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7608.	Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium-glucose co-transporter-2 inhibitors with those receiving dipeptidyl peptidase-4 inhibitors, using a supervised machine-learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database. [electronic resource] by Zhou, Fang L Watada, Hirotaka Tajima, Yuki Berthelot, Mathilde Kang, Dian Esnault, Cyril Shuto, Yujin Maegawa, Hiroshi Koya, Daisuke Producer: 20200916 In: Diabetes, obesity & metabolism vol. 21 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)