Method for providing AI-powered preliminary disease diagnosis and health monitoring for real-time patient vital sign monitoring, involves providing list of potential diseases and associated confidence scores to user
	ARYA A; TYAGI S; AGARWAL S; BAJAJ Y; NIGAM U; AGARWAL V
	2025-03-25
专利权人	KIET GROUP INST (KIET-Non-standard)
申请日期	2025-03-25
专利号	IN202511027462-A
成果简介	NOVELTY - The method involves receiving user input comprising a set of symptoms through a natural language processing (NLP) interface. The user input is processed using an NLP engine to extract relevant symptom information. A Naive Bayes classifier, trained on a medical dataset, is applied to the extracted symptom information to calculate probabilities of a set of potential diseases. A list of potential diseases ranked by probability is generated along with a confidence score for each potential disease. The list of potential diseases and associated confidence scores are provided to the user. The user input is received through a set of a web application, a mobile application, and integration with a messaging platform. USE - Method for providing AI-powered preliminary disease diagnosis and health monitoring for real-time patient vital sign monitoring. ADVANTAGE - The method ensuring seamless integration into various telemedicine and digital health solutions. This versatility allows for widespread adoption across diverse healthcare settings, maximizing its impact on patient care. The Naive Bayes classifier, trained on a standard medical dataset, provides reliable symptom analysis and medical guidance, ensuring that users receive accurate and trustworthy information. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is included for a system for providing AI-powered preliminary disease diagnosis and health monitoring. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic representation of the method for providing AI-powered preliminary disease diagnosis and health monitoring.
IPC 分类号	A61B-005/00 ; A61B-005/0205 ; A61B-005/024 ; G16H-010/60 ; G16H-050/20
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13528
专题	中国科学院新疆生态与地理研究所
作者单位	KIET GROUP INST (KIET-Non-standard)
推荐引用方式 GB/T 7714	ARYA A,TYAGI S,AGARWAL S,et al. Method for providing AI-powered preliminary disease diagnosis and health monitoring for real-time patient vital sign monitoring, involves providing list of potential diseases and associated confidence scores to user. IN202511027462-A[P]. 2025.

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