Published on in Vol 6, No 8 (2017): August
Journals
- Wu J, Tsai C, Ho T, Lai F, Tai H, Lin M. A Unified Framework for Automatic Detection of Wound Infection with Artificial Intelligence. Applied Sciences 2020;10(15):5353 View
- Alaa A, van der Schaar M. Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning. Scientific Reports 2018;8(1) View
- Luo G. A roadmap for semi-automatically extracting predictive and clinically meaningful temporal features from medical data for predictive modeling. Global Transitions 2019;1:61 View
- Nelson C, Ekberg J, Fridell K. Prostate Cancer Detection in Screening Using Magnetic Resonance Imaging and Artificial Intelligence. The Open Artificial Intelligence Journal 2020;6(1):1 View
- D’Argenio V. The High-Throughput Analyses Era: Are We Ready for the Data Struggle?. High-Throughput 2018;7(1):8 View
- Luo G. Toward a Progress Indicator for Machine Learning Model Building and Data Mining Algorithm Execution. ACM SIGKDD Explorations Newsletter 2017;19(2):13 View
- Luo G, Stone B, Koebnick C, He S, Au D, Sheng X, Murtaugh M, Sward K, Schatz M, Zeiger R, Davidson G, Nkoy F. Using Temporal Features to Provide Data-Driven Clinical Early Warnings for Chronic Obstructive Pulmonary Disease and Asthma Care Management: Protocol for a Secondary Analysis. JMIR Research Protocols 2019;8(6):e13783 View
- Dong Q, Luo G. Progress Indication for Deep Learning Model Training: A Feasibility Demonstration. IEEE Access 2020;8:79811 View
- Wang H, Hsu W, Lee M, Weng H, Chang S, Yang J, Tsai Y. Automatic Machine-Learning-Based Outcome Prediction in Patients With Primary Intracerebral Hemorrhage. Frontiers in Neurology 2019;10 View
- Luo G. Progress Indication for Machine Learning Model Building. ACM SIGKDD Explorations Newsletter 2018;20(2):1 View
- Zeng X, Luo G. Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection. Health Information Science and Systems 2017;5(1) View
- Luo G, Tarczy-Hornoch P, Wilcox A, Lee E. Identifying Patients Who Are Likely to Receive Most of Their Care From a Specific Health Care System: Demonstration via Secondary Analysis. JMIR Medical Informatics 2018;6(4):e12241 View
- Yang F, Elmer J, Zadorozhny V. SmartPrognosis: Automatic ensemble classification for quantitative EEG analysis in patients resuscitated from cardiac arrest. Knowledge-Based Systems 2021;212:106579 View
- Mustafa A, Rahimi Azghadi M. Automated Machine Learning for Healthcare and Clinical Notes Analysis. Computers 2021;10(2):24 View
- Bang C, Lim H, Jeong H, Hwang S. Use of Endoscopic Images in the Prediction of Submucosal Invasion of Gastric Neoplasms: Automated Deep Learning Model Development and Usability Study. Journal of Medical Internet Research 2021;23(4):e25167 View
- Luo G, Stone B, Sheng X, He S, Koebnick C, Nkoy F. Using Computational Methods to Improve Integrated Disease Management for Asthma and Chronic Obstructive Pulmonary Disease: Protocol for a Secondary Analysis. JMIR Research Protocols 2021;10(5):e27065 View
- Banerjee P. MODIS-FIRMS and ground-truthing-based wildfire likelihood mapping of Sikkim Himalaya using machine learning algorithms. Natural Hazards 2022;110(2):899 View
- Dong Q, Zhang X, Luo G. Improving the Accuracy of Progress Indication for Constructing Deep Learning Models. IEEE Access 2022;10:63754 View
- Randall J, DuPai C, Cole T, Davidson G, Groover K, Slater S, Mavridou D, Wilke C, Davies B. Designing and identifying β-hairpin peptide macrocycles with antibiotic potential. Science Advances 2023;9(2) View
- Gong E, Bang C, Lee J, Seo S, Yang Y, Baik G, Kim J. No-Code Platform-Based Deep-Learning Models for Prediction of Colorectal Polyp Histology from White-Light Endoscopy Images: Development and Performance Verification. Journal of Personalized Medicine 2022;12(6):963 View
- Tschoellitsch T, Krummenacker S, Dünser M, Stöger R, Meier J. The Value of the First Clinical Impression as Assessed by 18 Observations in Patients Presenting to the Emergency Department. Journal of Clinical Medicine 2023;12(2):724 View
- Garg P, De Plaen I, Christensen R, Khashu M, Dame C, Lavoie P, Sampath V, Malhotra A, Caplan M, Agrawal P, Buonocore G, Maheshwari A. Current Understanding of Transfusion-associated Necrotizing Enterocolitis: Review of Clinical and Experimental Studies and a Call for More Definitive Evidence. Newborn 2022;1(1):201 View
- Vagliano I, Schut M, Abu-Hanna A, Dongelmans D, de Lange D, Gommers D, Cremer O, Bosman R, Rigter S, Wils E, Frenzel T, de Jong R, Peters M, Kamps M, Ramnarain D, Nowitzky R, Nooteboom F, de Ruijter W, Urlings-Strop L, Smit E, Mehagnoul-Schipper D, Dormans T, de Jager C, Hendriks S, Achterberg S, Oostdijk E, Reidinga A, Festen-Spanjer B, Brunnekreef G, Cornet A, van den Tempel W, Boelens A, Koetsier P, Lens J, Faber H, Karakus A, Entjes R, de Jong P, Rettig T, Reuland M, Arbous S, Fleuren L, Dam T, Thoral P, Lalisang R, Tonutti M, de Bruin D, Elbers P, de Keizer N. Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records. International Journal of Medical Informatics 2022;167:104863 View
- A. Romero R, Y. Deypalan M, Mehrotra S, Jungao J, Sheils N, Manduchi E, Moore J. Benchmarking AutoML frameworks for disease prediction using medical claims. BioData Mining 2022;15(1) View
- Baker T, Loh W, Piasecki T, Bolt D, Smith S, Slutske W, Conner K, Bernstein S, Fiore M. A machine learning analysis of correlates of mortality among patients hospitalized with COVID-19. Scientific Reports 2023;13(1) View
- Beam K, Wang C, Beam A, Clark R, Tolia V, Ahmad K. National Needs Assessment of Utilization of Common Newborn Clinical Decision Support Tools. American Journal of Perinatology 2024;41(S 01):e1982 View
- Imrie F, Cebere B, McKinney E, van der Schaar M, Guillot G. AutoPrognosis 2.0: Democratizing diagnostic and prognostic modeling in healthcare with automated machine learning. PLOS Digital Health 2023;2(6):e0000276 View
- Dong Q, Luo G. Progress Estimation for End-to-End Training of Deep Learning Models With Online Data Preprocessing. IEEE Access 2024;12:18658 View
- Patnaik A, K. K. Intelligent Decision Support System in Healthcare using Machine Learning Models. Recent Patents on Engineering 2024;18(5) View
- Salazar R, Nair S, Leone A, Xu T, Mumme R, Duryea J, De B, Corrigan K, Rooney M, Ning M, Das P, Holliday E, Liao Z, Court L, Niedzielski J. Performance comparison of eleven state-of-the-art machine learning algorithms for outcome prediction modeling of radiation-induced toxicity. Advances in Radiation Oncology 2024:101675 View