This paper is in the following e-collection/theme issue:

Viewpoints (45) JMIR Theme Issue: COVID-19 Special Issue (2553) Digital Health, Telehealth and e-Innovation in Clinical Settings (556) Clinical Information and Decision Making (1914) Decision Support for Health Professionals (1538) Chatbots and Conversational Agents (740)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42540, first published .
Using Decision Trees as an Expert System for Clinical Decision Support for COVID-19

Using Decision Trees as an Expert System for Clinical Decision Support for COVID-19

Using Decision Trees as an Expert System for Clinical Decision Support for COVID-19

Authors of this article:

Dillon Chrimes1 Author Orcid Image
Article Authors Cited by (14) Tweetations (8) Metrics

Journals

  1. Giansanti D. The Chatbots Are Invading Us: A Map Point on the Evolution, Applications, Opportunities, and Emerging Problems in the Health Domain. Life 2023;13(5):1130 View
  2. Gholamzadeh M, Abtahi H, Safdari R, Lakshmanna K. The Application of Knowledge‐Based Clinical Decision Support Systems to Enhance Adherence to Evidence‐Based Medicine in Chronic Disease. Journal of Healthcare Engineering 2023;2023(1) View
  3. BÜLBÜL M. Urinary Bladder Inflammation Prediction with the Gray Wolf Optimization Algorithm and Multi-Layer Perceptron-Based Hybrid Architecture. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 2023;12(4):1185 View
  4. Kuziemsky C, Chrimes D, Minshall S, Mannerow M, Lau F. AI Quality Standards in Health Care: Rapid Umbrella Review. Journal of Medical Internet Research 2024;26:e54705 View
  5. Olivelli M, Donati M, Vianello A, Petrucci I, Masi S, Bechini A, Fanucci L. Enhancing Precision of Telemonitoring of COVID-19 Patients through Expert System Based on IoT Data Elaboration. Electronics 2024;13(8):1462 View
  6. Ezugwu A, Ho Y, Egwuche O, Ekundayo O, Van Der Merwe A, Saha A, Pal J. Classical Machine Learning: Seventy Years of Algorithmic Learning Evolution. Data Intelligence 2024 View
  7. Roganović J, Djordjević S, Barać M, Crnjanski J, Milanović I, Ilić J. Dental Antimicrobial Stewardship: Developing a Mobile Application for Rational Antibiotic Prescribing to Tackle Misdiagnosis. Antibiotics 2024;13(12):1135 View
  8. Pantanowitz L, Pearce T, Abukhiran I, Hanna M, Wheeler S, Soong T, Tafti A, Pantanowitz J, Lu M, Mahmood F, Gu Q, Rashidi H. Nongenerative Artificial Intelligence in Medicine: Advancements and Applications in Supervised and Unsupervised Machine Learning. Modern Pathology 2025;38(3):100680 View
  9. Bonanni P, Heo J, Honda H, Lee P, Mouliom A, Leong H, del Pilar Martin Matos M, Dawson R. Optimal Timing of Vaccination: A Narrative Review of Integrating Strategies for COVID-19, Influenza, and Respiratory Syncytial Virus. Infectious Diseases and Therapy 2025;14(5):911 View
  10. Kerr D, Smith K, Smith L, Xu T. A Review of AI and Its Impact on Management Accounting and Society. Journal of Risk and Financial Management 2025;18(6):340 View
  11. Shetty A, S R, Jabeer M, Deepak D, NE S, Prabhu S. Prediction of primary Hypertension in Primary Health Care Settings in Coastal Karnataka Using Artificial Neural Network. Current Hypertension Reviews 2025;21(2):82 View

Books/Policy Documents

  1. Lamti S, El Malhi M, Sekhsoukh R, Kerzazi N. Advances in Smart Medical, IoT & Artificial Intelligence. View

Conference Proceedings

  1. Rajarajan P, Cisneros A, Martin F. 2025 IEEE Integrated STEM Education Conference (ISEC). FaunaForest: A Novel Software Tool for Teaching Decision Trees to Middle School Students View
  2. Zhang Y, An X, Li S, Liao Z, Gu Y. 2025 International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM). A UAV Rudder Fault Diagnosis Method under Cross-Flight Conditions View