Published on in Vol 7 , No 8 (2019) :August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11966, first published .
Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations

Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations

Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations

Journals

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  4. Sufian A, Ghosh A, Sadiq A, Smarandache F. A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic. Journal of Systems Architecture 2020;108:101830 View
  5. Choi Y, Kim Y, Chung J, Kim K, Kim H, Park R, Park D. Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study. JMIR Medical Informatics 2020;8(4):e15124 View
  6. Ma S, Chou W, Chien T, Chow J, Yeh Y, Chou P, Lee H. An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study. JMIR mHealth and uHealth 2020;8(5):e16747 View
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  25. Högqvist Tabor V, Högqvist Tabor M, Keestra S, Parrot J, Alvergne A. Improving the Quality of Life of Patients with an Underactive Thyroid Through mHealth: A Patient-Centered Approach. Women's Health Reports 2021;2(1):182 View
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  29. Hassannataj Joloudari J, Mojrian S, Nodehi I, Mashmool A, Kiani Zadegan Z, Khanjani Shirkharkolaie S, Alizadehsani R, Tamadon T, Khosravi S, Akbari Kohnehshari M, Hassannatajjeloudari E, Sharifrazi D, Mosavi A, Loh H, Tan R, Acharya U. Application of artificial intelligence techniques for automated detection of myocardial infarction: a review. Physiological Measurement 2022;43(8):08TR01 View
  30. Das T, Gohain L, Kakoty N, Malarvili M, Widiyanti P, Kumar G. Hierarchical approach for fusion of electroencephalography and electromyography for predicting finger movements and kinematics using deep learning. Neurocomputing 2023;527:184 View
  31. Costa J, Silva-Correia J, Reis R, Oliveira J. Deep learning in bioengineering and biofabrication: a powerful technology boosting translation from research to clinics. Journal of 3D Printing in Medicine 2021;5(4):191 View
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  35. Junaid S, Imam A, Abdulkarim M, Surakat Y, Balogun A, Kumar G, Shuaibu A, Garba A, Sahalu Y, Mohammed A, Mohammed T, Abdulkadir B, Abba A, Iliyasu Kakumi N, Hashim A. Recent Advances in Artificial Intelligence and Wearable Sensors in Healthcare Delivery. Applied Sciences 2022;12(20):10271 View
  36. Jameela T, Athotha K, Singh N, Gunjan V, Kahali S, Roy S. Deep Learning and Transfer Learning for Malaria Detection. Computational Intelligence and Neuroscience 2022;2022:1 View
  37. Maqsood S, Xu S, Tran S, Garg S, Springer M, Karunanithi M, Mohawesh R. A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors. Expert Systems with Applications 2022;197:116788 View
  38. Akbarian S, Nelder M, Russell C, Cawston T, Moreno L, Patel S, Allen V, Dolatabadi E. A Computer Vision Approach to Identifying Ticks Related to Lyme Disease. IEEE Journal of Translational Engineering in Health and Medicine 2022;10:1 View
  39. Peyret R, alSaeed D, Khelifi F, Al-Ghreimil N, Al-Baity H, Bouridane A. Convolutional Neural Network–Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study. JMIR Bioinformatics and Biotechnology 2022;3(1):e27394 View
  40. Berdutin V, Abaeva O, Romanova T, Romanov S. Achievements and prospects for the application of artificial intelligence technologies in medicine: an overview. Part 1. Sociology of Medicine 2023;21(1):83 View
  41. Görtz M, Byczkowski M, Rath M, Schütz V, Reimold P, Gasch C, Simpfendörfer T, März K, Seitel A, Nolden M, Ross T, Mindroc-Filimon D, Michael D, Metzger J, Onogur S, Speidel S, Mündermann L, Fallert J, Müller M, von Knebel Doeberitz M, Teber D, Seitz P, Maier-Hein L, Duensing S, Hohenfellner M. A Platform and Multisided Market for Translational, Software-Defined Medical Procedures in the Operating Room (OP 4.1): Proof-of-Concept Study. JMIR Medical Informatics 2022;10(1):e27743 View
  42. Taimoor N, Rehman S. Reliable and Resilient AI and IoT-Based Personalised Healthcare Services: A Survey. IEEE Access 2022;10:535 View
  43. Ali O, AlAhmad A, Kahtan H. A review of advanced technologies available to improve the healthcare performance during COVID-19 pandemic. Procedia Computer Science 2023;217:205 View
  44. Musa N, Gital A, Aljojo N, Chiroma H, Adewole K, Mojeed H, Faruk N, Abdulkarim A, Emmanuel I, Folawiyo Y, Ogunmodede J, Oloyede A, Olawoyin L, Sikiru I, Katb I. A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram. Journal of Ambient Intelligence and Humanized Computing 2022 View
  45. Tobore I, Kandwal A, Li J, Yan Y, Omisore O, Enitan E, Sinan L, Yuhang L, Wang L, Nie Z. Towards adequate prediction of prediabetes using spatiotemporal ECG and EEG feature analysis and weight-based multi-model approach. Knowledge-Based Systems 2020;209:106464 View
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  49. Mishra D, Kaur K, Gurnani B, Heda A, Dwivedi K. Clinical and diagnostic color-coding in ophthalmology - An indispensable educational tool for ophthalmologists. Indian Journal of Ophthalmology 2022;70(9):3191 View
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Books/Policy Documents

  1. Mathew P, Pillai A. Enabling AI Applications in Data Science. View
  2. . Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction. View
  3. Kose U, Deperlioglu O, Alzubi J, Patrut B. Deep Learning for Medical Decision Support Systems. View
  4. Mahapatra D, Ray R, Dash S. Technical Advancements of Machine Learning in Healthcare. View
  5. Gaur N, Dharwadkar R, Thomas J. Deep Learning for Targeted Treatments. View
  6. Dargad S, Thakkar P, Giri S. Computing Science, Communication and Security. View
  7. Mac T. Proceedings of 10th International Conference on Mechatronics and Control Engineering. View
  8. Kumar S, Pooja , Kumar S, Veer K. Machine Learning Algorithms for Signal and Image Processing. View
  9. Nova S, Rahman M, Hosen A. Rhythms in Healthcare. View
  10. Shastry K, Sanjay H, Lakshmi M, Preetham N. Bioinformatics and Medical Applications. View
  11. Aditya Shastry K, Sanjay H, Lakshmi M, Preetham N. Blockchain and Deep Learning. View
  12. Mishra A, Mohapatra S, Bisoy S. Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. View
  13. Olaniyan O, Adetunji C, Adeyomoye O, Dare A, Adeniyi M, Enoch A. Artificial Intelligence for Neurological Disorders. View
  14. Bishi D, Padhi P, Panigrahi C, Pati B, Rath C. Computational Intelligence in Cancer Diagnosis. View