Artificial intelligence-powered disease prediction and personalized drug therapy recommendation system for use in hospitals, has main body connected with medical multi-parameter sensor module, power supply, GSM modem, seven-inch high-resolution touch TFT display, and Raspberry Pi 5 processor board
	RAHAMAN S A
	2025-03-28
专利权人	UNIV GALGOTIAS (UYGA-Non-standard)
申请日期	2025-03-28
专利号	IN202511030155-A
成果简介	NOVELTY - The system has a main body connected with a medical multi-parameter sensor module (10F), wireless-fidelity (Wi-Fi)module (10G), a USBbiometric scanner (10H), a power supply (10I), a GSMmodem, a seven-inch high-resolution touch TFT display, and Raspberry Pi 5 processor board. The power supply enables real-time disease prediction and health monitoring and ensures accurate diagnosis based on patient-specific physiological data. A medical multi-parameter sensor module is integrated within an ADPN node for continuously monitoring vital signs, where the vital signs include heart rate, blood pressure, oxygen saturation, and glucose levels. USE - Artificial intelligence (AI)-powered disease prediction and personalized drug therapy recommendation system for use in hospitals, pharmacies, and telemedicine applications. ADVANTAGE - The system improves patient outcomes, reduces medication-related risks, and streamlines pharmacy operations by providing accurate, data-driven insights for healthcare professionals. The system ensures secure patient authentication and seamless communication between interconnected nodes. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of an AI-powered disease prediction and personalized drug therapy recommendation system. 10ADPN node 10FMedical multi-parameter sensor module 10GWI-Fi module 10HUSB biometric scanner 10IPower supply
IPC 分类号	A61B-005/00 ; G06N-003/045 ; G16H-050/20 ; G16H-050/50 ; G16H-050/70
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/13414
专题	中国科学院新疆生态与地理研究所
作者单位	UNIV GALGOTIAS (UYGA-Non-standard)
推荐引用方式 GB/T 7714	RAHAMAN S A. Artificial intelligence-powered disease prediction and personalized drug therapy recommendation system for use in hospitals, has main body connected with medical multi-parameter sensor module, power supply, GSM modem, seven-inch high-resolution touch TFT display, and Raspberry Pi 5 processor board. IN202511030155-A[P]. 2025.

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