This paper suggests a fuzzy logic-located medical decision whole for diagnosing COPD, which exploits fuzzy sets to show the severity of symptoms, record of what happened, and test results, and fuzzy rules and reasoning to create a diagnostic result as manufacturing. The proposed system aims to support a more accurate and nuanced understanding of a patient's condition, which keep help doctors track changes in the patient's condition and adjust situation accordingly. The projected study involves collecting dossier from a sample of COPD-diagnosed patients and evolving and testing the fuzzy rationale-based healing decision system. It is owned by note that fuzzy logic-located medical decision arrangements should be secondhand in conjunction with other healing expertise and tools to guarantee the best possible patient effects. A fuzzy sanity-based medical resolution system for COPD diagnosis has the potential to upgrade the accuracy and efficiency of COPD disease, leading to better patient consequences and quality of life.
Author(s) Details:
Gurpreet Singh Popli,
C K Birla Hospital, New Delhi, India.
Praveen
Arora,
Jagan
Institute of Management Studies, New Delhi, India.
Please see the link here: https://stm.bookpi.org/RHDHR-V7/article/view/10569
No comments:
Post a Comment