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	6861.	Predicting Bipolar Disorder Risk Factors in Distressed Young Adults From Patterns of Brain Activation to Reward: A Machine Learning Approach. [electronic resource] by de Oliveira, Leticia Portugal, Liana C L Pereira, Mirtes Chase, Henry W Bertocci, Michele Stiffler, Richelle Greenberg, Tsafrir Bebko, Genna Lockovich, Jeanette Aslam, Haris Mourao-Miranda, Janaina Phillips, Mary L Producer: 20200327 In: Biological psychiatry. Cognitive neuroscience and neuroimaging vol. 4 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6862.	Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study. [electronic resource] by Mufti, Hani Nabeel Hirsch, Gregory Marshal Abidi, Samina Raza Abidi, Syed Sibte Raza Publication details: JMIR medical informatics Oct 2019 In: JMIR medical informatics vol. 7 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6863.	Letter to the Editor concerning the article "Machine learning for prediction of 30-day mortality after ST elevation myocardial infarction". [electronic resource] by Zheng, Yue Li, Tong Producer: 20181016 In: International journal of cardiology vol. 266 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6864.	Auditory repetition suppression alterations in relation to cognitive functioning in fragile X syndrome: a combined EEG and machine learning approach. [electronic resource] by Knoth, Inga Sophia Lajnef, Tarek Rigoulot, Simon Lacourse, Karine Vannasing, Phetsamone Michaud, Jacques L Jacquemont, Sébastien Major, Philippe Jerbi, Karim Lippé, Sarah Producer: 20191003 In: Journal of neurodevelopmental disorders vol. 10 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6865.	Feasibility study of stain-free classification of cell apoptosis based on diffraction imaging flow cytometry and supervised machine learning techniques. [electronic resource] by Feng, Jingwen Feng, Tong Yang, Chengwen Wang, Wei Sa, Yu Feng, Yuanming Producer: 20190917 In: Apoptosis : an international journal on programmed cell death vol. 23 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6866.	Convergence and machine learning predictions of Monkhorst-Pack k-points and plane-wave cut-off in high-throughput DFT calculations. [electronic resource] by Choudhary, Kamal Tavazza, Francesca Publication details: Computational materials science 2019 In: Computational materials science vol. 161 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6867.	Efficient Prediction of Vitamin B Deficiencies via Machine-Learning Using Routine Blood Test Results in Patients With Intense Psychiatric Episode. [electronic resource] by Tamune, Hidetaka Ukita, Jumpei Hamamoto, Yu Tanaka, Hiroko Narushima, Kenji Yamamoto, Naoki 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)
	6868.	Machine learning with sparse nutrition data to improve cardiovascular mortality risk prediction in the USA using nationally randomly sampled data. [electronic resource] by Rigdon, Joseph Basu, Sanjay Producer: 20201102 In: BMJ open vol. 9 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6869.	Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions. [electronic resource] by Saha, Ashirbani Tso, Samantha Rabski, Jessica Sadeghian, Alireza Cusimano, Michael D Producer: 20210201 In: Pituitary vol. 23 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6870.	Solving the transcription start site identification problem with ADAPT-CAGE: a Machine Learning algorithm for the analysis of CAGE data. [electronic resource] by Georgakilas, Georgios K Perdikopanis, Nikos Hatzigeorgiou, Artemis Producer: 20200707 In: Scientific reports vol. 10 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6871.	Data-Driven Machine-Learning Quantifies Differences in the Voiding Initiation Network in Neurogenic Voiding Dysfunction in Women With Multiple Sclerosis. [electronic resource] by Karmonik, Christof Boone, Timothy Khavari, Rose Publication details: International neurourology journal Sep 2019 In: International neurourology journal vol. 23 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6872.	Prediction of caregiver burden in amyotrophic lateral sclerosis: a machine learning approach using random forests applied to a cohort study. [electronic resource] by Antoniadi, Anna Markella Galvin, Miriam Heverin, Mark Hardiman, Orla Mooney, Catherine Producer: 20210309 In: BMJ open vol. 10 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6873.	A comparative study among machine learning and numerical models for simulating groundwater dynamics in the Heihe River Basin, northwestern China. [electronic resource] by Chen, Chong He, Wei Zhou, Han Xue, Yaru Zhu, Mingda Publication details: Scientific reports Mar 2020 In: Scientific reports vol. 10 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6874.	One model to rule them all? Using machine learning algorithms to determine the number of factors in exploratory factor analysis. [electronic resource] by Goretzko, David Bühner, Markus Producer: 20210901 In: Psychological methods vol. 25 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6875.	Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach. [electronic resource] by Rosenfeld, Avi Graham, David G Jevons, Sarah Ariza, Jose Hagan, Daryl Wilson, Ash Lovat, Samuel J Sami, Sarmed S Ahmad, Omer F Novelli, Marco Rodriguez Justo, Manuel Winstanley, Alison Heifetz, Eliyahu M Ben-Zecharia, Mordehy Noiman, Uria Fitzgerald, Rebecca C Sasieni, Peter Lovat, Laurence B Producer: 20201224 In: The Lancet. Digital health vol. 2 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6876.	Supervised machine learning is superior to indicator value inference in monitoring the environmental impacts of salmon aquaculture using eDNA metabarcodes. [electronic resource] by Frühe, Larissa Cordier, Tristan Dully, Verena Breiner, Hans-Werner Lentendu, Guillaume Pawlowski, Jan Martins, Catarina Wilding, Thomas A Stoeck, Thorsten Producer: 20210722 In: Molecular ecology vol. 30 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6877.	Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling. [electronic resource] by Antosik-Wójcińska, Anna Z Dominiak, Monika Chojnacka, Magdalena Kaczmarek-Majer, Katarzyna Opara, Karol R Radziszewska, Weronika Olwert, Anna Święcicki, Łukasz Producer: 20201020 In: International journal of medical informatics vol. 138 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6878.	High-dimensional pharmacogenetic prediction of a continuous trait using machine learning techniques with application to warfarin dose prediction in African Americans. [electronic resource] by Cosgun, Erdal Limdi, Nita A Duarte, Christine W Producer: 20110810 In: Bioinformatics (Oxford, England) vol. 27 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6879.	UrineCART, a machine learning method for establishment of review rules based on UF-1000i flow cytometry and dipstick or reflectance photometer. [electronic resource] by Cao, Yuan Cheng, Ming Hu, Chengjin Producer: 20130710 In: Clinical chemistry and laboratory medicine vol. 50 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6880.	A pilot study to determine whether machine learning methodologies using pre-treatment electroencephalography can predict the symptomatic response to clozapine therapy. [electronic resource] by Khodayari-Rostamabad, Ahmad Hasey, Gary M Maccrimmon, Duncan J Reilly, James P de Bruin, Hubert Producer: 20101122 In: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology vol. 121 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)

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