Instance-Based Learning Following Physician Reasoning for Assistance during Medical Consultation
This article presents an automatic system for modeling clinical knowledge to follow a physician’s reasoning in medical consultation. Instance-based learning is applied to provide suggestions when recording electronic medical records. The system was validated on a real case study involving advanced m...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/13/5886 |
| _version_ | 1797528821578072064 |
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| author | Matías Galnares Sergio Nesmachnow Franco Simini |
| author_facet | Matías Galnares Sergio Nesmachnow Franco Simini |
| author_sort | Matías Galnares |
| collection | DOAJ |
| description | This article presents an automatic system for modeling clinical knowledge to follow a physician’s reasoning in medical consultation. Instance-based learning is applied to provide suggestions when recording electronic medical records. The system was validated on a real case study involving advanced medical students. The proposed system is accurate and efficient: 2.5× more efficient than a baseline empirical tool for suggestions and two orders of magnitude faster than a Bayesian learning method, when processing a testbed of 250 clinical case types. The research provides a framework to implement a real-time system to assist physicians during medical consultations. |
| first_indexed | 2024-03-10T10:04:54Z |
| format | Article |
| id | doaj.art-b3dd5b2acfc14648a0b04aa54bb1d0b5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T10:04:54Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-b3dd5b2acfc14648a0b04aa54bb1d0b52023-11-22T01:38:16ZengMDPI AGApplied Sciences2076-34172021-06-011113588610.3390/app11135886Instance-Based Learning Following Physician Reasoning for Assistance during Medical ConsultationMatías Galnares0Sergio Nesmachnow1Franco Simini2Universidad de la República, Montevideo 11200, UruguayUniversidad de la República, Montevideo 11200, UruguayUniversidad de la República, Montevideo 11200, UruguayThis article presents an automatic system for modeling clinical knowledge to follow a physician’s reasoning in medical consultation. Instance-based learning is applied to provide suggestions when recording electronic medical records. The system was validated on a real case study involving advanced medical students. The proposed system is accurate and efficient: 2.5× more efficient than a baseline empirical tool for suggestions and two orders of magnitude faster than a Bayesian learning method, when processing a testbed of 250 clinical case types. The research provides a framework to implement a real-time system to assist physicians during medical consultations.https://www.mdpi.com/2076-3417/11/13/5886computational intelligencemedical assistanceinstance-based learninghealthcareclinical decision support systems |
| spellingShingle | Matías Galnares Sergio Nesmachnow Franco Simini Instance-Based Learning Following Physician Reasoning for Assistance during Medical Consultation Applied Sciences computational intelligence medical assistance instance-based learning healthcare clinical decision support systems |
| title | Instance-Based Learning Following Physician Reasoning for Assistance during Medical Consultation |
| title_full | Instance-Based Learning Following Physician Reasoning for Assistance during Medical Consultation |
| title_fullStr | Instance-Based Learning Following Physician Reasoning for Assistance during Medical Consultation |
| title_full_unstemmed | Instance-Based Learning Following Physician Reasoning for Assistance during Medical Consultation |
| title_short | Instance-Based Learning Following Physician Reasoning for Assistance during Medical Consultation |
| title_sort | instance based learning following physician reasoning for assistance during medical consultation |
| topic | computational intelligence medical assistance instance-based learning healthcare clinical decision support systems |
| url | https://www.mdpi.com/2076-3417/11/13/5886 |
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