{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T04:03:00Z","timestamp":1776225780371,"version":"3.50.1"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032232403","type":"print"},{"value":"9783032232410","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-23241-0_6","type":"book-chapter","created":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T03:13:17Z","timestamp":1776222797000},"page":"101-112","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["HomeoCure: LLM-RAG Framework for Symptom-Based Homeopathy Remedy Recommendation"],"prefix":"10.1007","author":[{"given":"Preeti","family":"Rawat","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanshika","family":"Gulbake","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anshika","family":"Goel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shikha","family":"Jain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Indu","family":"Chawla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,16]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Bhatt, A., Vaghela, N.: Med-Bot: an AI-powered assistant to provide accurate and reliable medical information. arXiv preprint arXiv:2411.09648 (2024)","DOI":"10.36227\/techrxiv.172651811.10262073\/v1"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Hiesinger, W., et al.: Almanac: Retrieval-augmented language models for clinical medicine. (2023)","DOI":"10.21203\/rs.3.rs-2883198\/v1"},{"key":"6_CR3","first-page":"2024","volume-title":"6th International Conference on Electrical","author":"YB Sree","year":"2024","unstructured":"Sree, Y.B., et al.: Retrieval-augmented generation based large language model Chatbot for improving diagnosis for physical and mental health. In: 6th International Conference on Electrical, p. 2024. Control and Instrumentation Engineering (ICECIE), IEEE (2024)"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Neupane, S., et al.: Medinsight: a multi-source context augmentation framework for generating patient-centric medical responses using large language models. ACM Trans. Comput. Healthc. (2024)","DOI":"10.1145\/3709365"},{"key":"6_CR5","volume-title":"Developing a Homeopathy CHATBOT: Leveraging AI and NLP for Personalized Health Guidance","author":"SK Agarwal","year":"2024","unstructured":"Agarwal, S.K., Dey, S., Maiti, A.: Developing a Homeopathy CHATBOT: Leveraging AI and NLP for Personalized Health Guidance. FOSET ACADEMIC MEET (2024)"},{"key":"6_CR6","unstructured":"Jegadeesan, R., et al.: Personal Healthcare Chatbot For Medical Suggestions Using Artificial Intelligence And Machine Learning."},{"key":"6_CR7","unstructured":"Yang, R.: CaseGPT: a case reasoning framework based on language models and retrieval-augmented generation. arXiv preprint arXiv:2407.07913 (2024)"},{"key":"6_CR8","unstructured":"Jin, M., et al.: Health-LLM: Personalized retrieval-augmented disease prediction model. arXiv preprint arXiv: 2402.00746 (2024)"},{"key":"6_CR9","unstructured":"Su, C., et al.: Hybrid RAG-empowered multi-modal llm for secure healthcare data management: a diffusion-based contract theory approach. arXiv preprint arXiv:2407.00978 (2024)"},{"key":"6_CR10","doi-asserted-by":"publisher","unstructured":"Chin, O., Jamil, N.S., Zainudin, Z., Hitam, N.A., Ibrahim, N., Ahmad Sa'ahiry, A.H.: OYEN: a user-centric LLM-based bilingual healthcare Chatbot. In: 2024 5th International Conference on Artificial Intelligence and Data Sciences (AiDAS), pp. 435\u2013440, Bangkok, Thailand (2024). https:\/\/doi.org\/10.1109\/AiDAS63860.2024.10730140","DOI":"10.1109\/AiDAS63860.2024.10730140"},{"key":"6_CR11","volume-title":"2024 8th International Conference on Computing","author":"R Patil","year":"2024","unstructured":"Patil, R., et al.: AyUR-bot: a revolutionary Ayurvedic Chatbot empowered by generative AI. In: 2024 8th International Conference on Computing. Communication, Control and Automation (ICCUBEA), IEEE (2024)"},{"key":"6_CR12","doi-asserted-by":"publisher","unstructured":"Mehndiratta, P. et al.: Standardized multimedia data in health-care applications. In: eds. Cloud Computing and Digital Media: Fundamentals, Techniques, and Applications. Published by Chapman and Hall\/CRC, ISBN 9781466569171 (2014). https:\/\/doi.org\/10.1201\/b16614-17","DOI":"10.1201\/b16614-17"},{"key":"6_CR13","unstructured":"OpenAI: ChatGPT Homeopathic Doctor \u2013 AI \u2013 Powered Homeopathy Tool(July 18 version) [Large Language Model] (2024). https:\/\/www.yeschat.ai\/gpts-9t55RFpJfJ2-Homeopathic-Doctor"},{"key":"6_CR14","unstructured":"OpenAI: ChatGPT HomeoXpert by Nambisons by Nambisons Softronix (July 18 version) [Large Language Model] (2024b). https:\/\/chatgpt.com\/g\/g-JO3BPFEbA-homeoxpert-by-dr-nambison"},{"key":"6_CR15","unstructured":"https:\/\/www.oorep.com\/. Accessed 4 Sept 2025"},{"key":"6_CR16","unstructured":"Gupta, V., Sachdeva, S., Dohare, N.: Deep similarity learning for disease prediction. In: Book Trends in Deep Learning Methodologies\u2014Algorithms, Applications, and Systems, Chapter 8. pp. 183\u2013206 Academic Press, Elsevier, ISBN 978-0-12-8232682, Paperback ISBN: 9780128222263 (2020). Imprint. https:\/\/www.elsevier.com\/books\/trends-in-deep-learning-methodologies\/piuri\/978-0-12-822226-3"}],"container-title":["Lecture Notes in Computer Science","Big Data Analytics in Astronomy, Science, and Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-23241-0_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T03:13:20Z","timestamp":1776222800000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-23241-0_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032232403","9783032232410"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-23241-0_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"16 April 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Big Data Analytics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Aizu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 December 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bigda2025a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/web-ext.u-aizu.ac.jp\/labs\/is-ds\/BDA2025-Aizu.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}