Academic literature on the topic 'ML diagnostic model'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'ML diagnostic model.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "ML diagnostic model"
Liu, Xinran, James Anstey, Ron Li, Chethan Sarabu, Reiri Sono, and Atul J. Butte. "Rethinking PICO in the Machine Learning Era: ML-PICO." Applied Clinical Informatics 12, no. 02 (March 2021): 407–16. http://dx.doi.org/10.1055/s-0041-1729752.
Full textWang, Dong, Jian Liu, Lijun Deng, and Honglin Wang. "Intelligent diagnosis of resistance variant multiple fault locations of mine ventilation system based on ML-KNN." PLOS ONE 17, no. 9 (September 30, 2022): e0275437. http://dx.doi.org/10.1371/journal.pone.0275437.
Full textBabar, Zaheer, Twan van Laarhoven, and Elena Marchiori. "Encoder-decoder models for chest X-ray report generation perform no better than unconditioned baselines." PLOS ONE 16, no. 11 (November 29, 2021): e0259639. http://dx.doi.org/10.1371/journal.pone.0259639.
Full textVenkatesh, Veeramuthu, M. M. Anishin Raj, K. Mohamed Sajith, R. Anushiadevi, and T. Suriya Praba. "A precision-based diagnostic model ADOBE-accurate detection of breast cancer using logistic regression approach." Journal of Intelligent & Fuzzy Systems 39, no. 6 (December 4, 2020): 8419–26. http://dx.doi.org/10.3233/jifs-189160.
Full textCarreiro Pinasco, Gustavo, Eduardo Moreno Júdice de Mattos Farina, Fabiano Novaes Barcellos Filho, Willer França Fiorotti, Matheus Coradini Mariano Ferreira, Sheila Cristina de Souza Cruz, Andre Louzada Colodette, et al. "An interpretable machine learning model for covid-19 screening." Journal of Human Growth and Development 32, no. 2 (June 23, 2022): 268–74. http://dx.doi.org/10.36311/jhgd.v32.13324.
Full textSmirnova, Darya Ilyinichna, Anastasiya Vyacheslavovna Gracheva, Elena Aleksandrovna Volynskaya, Vitaliy Vasilievich Zverev, and Evgeniy Bakhtiyorovich Faizuloev. "Diagnostic value of the LAMP method with real-time fluo-rescence detection on a model of herpesvirus infection." Sanitarnyj vrač (Sanitary Doctor), no. 1 (January 1, 2021): 52–61. http://dx.doi.org/10.33920/med-08-2101-06.
Full textBaker, Mohammed Rashad, D. Lakshmi Padmaja, R. Puviarasi, Suman Mann, Jeidy Panduro-Ramirez, Mohit Tiwari, and Issah Abubakari Samori. "Implementing Critical Machine Learning (ML) Approaches for Generating Robust Discriminative Neuroimaging Representations Using Structural Equation Model (SEM)." Computational and Mathematical Methods in Medicine 2022 (April 14, 2022): 1–12. http://dx.doi.org/10.1155/2022/6501975.
Full textChatterjee, S., R. Alkhaldi, P. Yaadav, D. Bethineedi, A. Shreya, and N. Bankole. "P.115 Diagnostic performance of machine learning based MR algorithm vs conventional MR images for predicting the likelihood of brain tumors." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 49, s1 (June 2022): S38. http://dx.doi.org/10.1017/cjn.2022.207.
Full textKahlen, Jannis N., Michael Andres, and Albert Moser. "Improving Machine-Learning Diagnostics with Model-Based Data Augmentation Showcased for a Transformer Fault." Energies 14, no. 20 (October 18, 2021): 6816. http://dx.doi.org/10.3390/en14206816.
Full textGui, Chloe, and Victoria Chan. "Machine learning in medicine." University of Western Ontario Medical Journal 86, no. 2 (December 3, 2017): 76–78. http://dx.doi.org/10.5206/uwomj.v86i2.2060.
Full textDissertations / Theses on the topic "ML diagnostic model"
Navicelli, Andrea, Mario Tucci, and Filippo De Carlo. "Analisi ed applicazione di modelli diagnostici e prognostici per guasti e prestazioni di componenti di impianti industriali nell’era I4.0." Doctoral thesis, 2021. http://hdl.handle.net/2158/1234822.
Full textBook chapters on the topic "ML diagnostic model"
Aria, Massimo, Corrado Cuccurullo, and Agostino Gnasso. "Supporting decision-makers in healthcare domain. A comparative study of two interpretative proposals for Random Forests." In Proceedings e report, 179–84. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.34.
Full textMorande, Swapnil, Veena Tewari, and Kanwal Gul. "Reinforcing Positive Cognitive States with Machine Learning: An Experimental Modeling for Preventive Healthcare." In Healthcare Access - New Threats, New Approaches [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.108272.
Full textNaidenova, Xenia. "Machine Learning as a Commonsense Reasoning Process." In Handbook of Research on Innovations in Database Technologies and Applications, 605–11. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-242-8.ch065.
Full textNaidenova, Xenia. "Machine Learning as a Commonsense Reasoning Process." In Machine Learning, 113–19. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch201.
Full textMustary, Nareshkumar, and Phani Kumar Singamsetty. "Prediction and Recommendation System for Diabetes Using Machine Learning Models." In Advances in Healthcare Information Systems and Administration, 316–27. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7709-7.ch018.
Full textJ. Kleczyk, Ewa, Tarachand Yadav, and Stalin Amirtharaj. "Applying Machine Learning Algorithms to Predict Endometriosis Onset." In Endometriosis - Recent Advances, New Perspectives and Treatments [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.101391.
Full textJagota, Vishal, Vinay Bhatia, Luis Vives, and Arun B. Prasad. "ML-PASD." In Advances in Medical Diagnosis, Treatment, and Care, 82–93. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7460-7.ch006.
Full textPandey, Upasana, Tejveer Shakya, Meet Rajput, Rakshit Singh, and Tanish Mangal. "Review and Analysis of Disease Diagnostic Models Using AI and ML." In Advances in Medical Technologies and Clinical Practice, 35–53. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6957-6.ch003.
Full textR., Maheswari, Pattabiraman Venkatasubbu, and A. Saleem Raja. "Gait Analysis Using Principal Component Analysis and Long Short Term Memory Models." In Structural and Functional Aspects of Biocomputing Systems for Data Processing, 79–97. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6523-3.ch004.
Full textRefaee, Mahmoud A., Hamada R. H. Al-Absi, Mohammad Tariqul Islam, Mowafa Househ, Zubair Shah, M. Sohel Rahman, and Tanvir Alam. "The Linkage Between Bone Densitometry and Cardiovascular Disease." In Studies in Health Technology and Informatics. IOS Press, 2022. http://dx.doi.org/10.3233/shti210905.
Full textConference papers on the topic "ML diagnostic model"
Singh, Ajay, Anand Shukla, and Suryansh Purwar. "Leveraging Machine Learning and Interactive Voice Interface for Automated Production Monitoring and Diagnostic." In SPE Annual Technical Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210475-ms.
Full textJaw, Link C., and Yuh-Jye Lee. "Engine Diagnostics in the Eyes of Machine Learning." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-27088.
Full textXie, Jiarui, Katherine Schmidt, Nausica Budeanu, Vincent Letendre, and Yaoyao Fiona Zhao. "Combining Feature Learning and Transfer Learning in Balancing Anomaly Detection for Gas Turbine Engine Vibration Analysis." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-88223.
Full textKhan, Abdul Muqtadir, Abdullah BinZiad, Abdullah Al Subaii, Denis Bannikov, Maksim Ponomarev, and Sergey Parkhonyuk. "Fracture Height Prediction Model Utilizing Openhole Logs, Mechanical Models, and Temperature Cooldown Analysis with Machine Learning Algorithms." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207975-ms.
Full textKayode, Babatope O., Karl D. Stephen, and Abdullah Kaba. "Application of Data Science Algorithms to Establish a Novel Parameterization Approach for Static and Dynamic Models." In SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry. SPE, 2023. http://dx.doi.org/10.2118/214476-ms.
Full textBorsukov, A. V., S. B. Krukovskiy, L. N. Markelova, O. A. Gorbatenko, and D. Yu Venidiktova. "Contrast-enhanced ultrasound of kidneys in patients with type 2 diabetes and chronic pyelonephritis: a new dosage of the contrast-enhanced agent." In Наука России: Цели и задачи. НЦ "LJournal", 2021. http://dx.doi.org/10.18411/sr-10-04-2021-65.
Full textDuvvuri, Anishka, Navya Kovvuri, Sneka Kumar, Rebecca Victor, and Tanush Kaushik. "Comparative Study of Anxiety Symptom’s Predictions From Discord Chat Messages using Automl." In 4th International Conference on Machine Learning and Soft Computing. Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130202.
Full textKarpat, Fatih, Ahmet Emir Dirik, Onur Can Kalay, Oğuz Doğan, and Burak Korcuklu. "Vibration-Based Early Crack Diagnosis With Machine Learning for Spur Gears." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24006.
Full textSta. Cruz, Anton Domini, and Michael Angelo Pedrasa. "Exploring PMU Measurement Representation for ML-based Fault Diagnosis Models." In 2019 9th International Conference on Power and Energy Systems (ICPES). IEEE, 2019. http://dx.doi.org/10.1109/icpes47639.2019.9105386.
Full textLahlou, Kenza, Sven Inge Oedegaard, Morten Svendsen, Tore Weltzin, Knut Steinar Bjørkevoll, and Bjørn Rudshaug. "Drilling Advisory for Automatic Drilling Control." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204074-ms.
Full textReports on the topic "ML diagnostic model"
Ehiabhi, Jolly, and Haifeng Wang. A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2023. http://dx.doi.org/10.37766/inplasy2023.2.0003.
Full textMalkinson, Mertyn, Irit Davidson, Moshe Kotler, and Richard L. Witter. Epidemiology of Avian Leukosis Virus-subtype J Infection in Broiler Breeder Flocks of Poultry and its Eradication from Pedigree Breeding Stock. United States Department of Agriculture, March 2003. http://dx.doi.org/10.32747/2003.7586459.bard.
Full text