Published on in Vol 19, No 4 (2017): April
Journals
- Du Z, Yang Y, Zheng J, Li Q, Lin D, Li Y, Fan J, Cheng W, Chen X, Cai Y. Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation. JMIR Medical Informatics 2020;8(7):e17257 View
- Rahman Q, Janmohamed T, Pirbaglou M, Clarke H, Ritvo P, Heffernan J, Katz J. Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods. Journal of Medical Internet Research 2018;20(11):e12001 View
- Becker A. Artificial intelligence in medicine: What is it doing for us today?. Health Policy and Technology 2019;8(2):198 View
- Zhang Y, Zhou Y, Zhang D, Song W. A Stroke Risk Detection: Improving Hybrid Feature Selection Method. Journal of Medical Internet Research 2019;21(4):e12437 View
- Schlemm L. Disability Adjusted Life Years due to Ischaemic Stroke Preventable by Real-Time Stroke Detection—A Cost-Utility Analysis of Hypothetical Stroke Detection Devices. Frontiers in Neurology 2018;9 View
- Pradeepa S, Manjula K, Vimal S, Khan M, Chilamkurti N, Luhach A. DRFS: Detecting Risk Factor of Stroke Disease from Social Media Using Machine Learning Techniques. Neural Processing Letters 2023;55(4):3843 View
- Álvarez-Machancoses Ó, DeAndrés Galiana E, Cernea A, Fernández Sánchez de la Viña J, Fernández-Martínez J. <p>On the Role of Artificial Intelligence in Genomics to Enhance Precision Medicine</p>. Pharmacogenomics and Personalized Medicine 2020;Volume 13:105 View
- Park E, Lee K, Han T, Nam H. Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study. Journal of Medical Internet Research 2020;22(9):e20641 View
- Ma Y, Zhang P, Tang Y, Pan C, Li G, Liu N, Hu Y, Tang Z. Artificial intelligence: The dawn of a new era for cutting-edge technology based diagnosis and treatment for stroke. Brain Hemorrhages 2020;1(1):1 View
- Luvizutto G, Silva G, Nascimento M, Sousa Santos K, Appelt P, de Moura Neto E, de Souza J, Wincker F, Miranda L, Hamamoto Filho P, de Souza L, Simões R, de Oliveira Vidal E, Bazan R. Use of artificial intelligence as an instrument of evaluation after stroke: a scoping review based on international classification of functioning, disability and health concept. Topics in Stroke Rehabilitation 2022;29(5):331 View
- Park E, Kim J, Nam H, Chang H. Requirement Analysis and Implementation of Smart Emergency Medical Services. IEEE Access 2018;6:42022 View
- Heo J, Yoo J, Lee H, Lee I, Kim J, Park E, Kim Y, Nam H. Prediction of Hidden Coronary Artery Disease Using Machine Learning in Patients With Acute Ischemic Stroke. Neurology 2022;99(1) View
- Suri J, Maindarkar M, Paul S, Ahluwalia P, Bhagawati M, Saba L, Faa G, Saxena S, Singh I, Chadha P, Turk M, Johri A, Khanna N, Viskovic K, Mavrogeni S, Laird J, Miner M, Sobel D, Balestrieri A, Sfikakis P, Tsoulfas G, Protogerou A, Misra D, Agarwal V, Kitas G, Kolluri R, Teji J, Al-Maini M, Dhanjil S, Sockalingam M, Saxena A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan P, Omerzu T, Naidu S, Nicolaides A, Paraskevas K, Kalra M, Ruzsa Z, Fouda M. Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review. Diagnostics 2022;12(7):1543 View
- Zheng Y, Guo Z, Zhang Y, Shang J, Yu L, Fu P, Liu Y, Li X, Wang H, Ren L, Zhang W, Hou H, Tan X, Wang W. Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine. EPMA Journal 2022;13(2):285 View
- Shi S, Qie S, Wang H, Wang J, Liu T. Recombination of the right cerebral cortex in patients with left side USN after stroke: fNIRS evidence from resting state. Frontiers in Neurology 2023;14 View
- Bathla P, Kumar R. A hybrid system to predict brain stroke using a combined feature selection and classifier. Intelligent Medicine 2024;4(2):75 View
- Bibbo D, De Marchis C, Schmid M, Ranaldi S. Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: a mapping review. Physiological Measurement 2023;44(12):12TR01 View
- Micali G, Corallo F, Pagano M, Giambò F, Duca A, D’Aleo P, Anselmo A, Bramanti A, Garofano M, Mazzon E, Bramanti P, Cappadona I. Artificial Intelligence and Heart-Brain Connections: A Narrative Review on Algorithms Utilization in Clinical Practice. Healthcare 2024;12(14):1380 View