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ICHI 2024: IEEE International Conference on Healthcare Informatics

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ICHI
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截稿日期:
2024-01-21
通知日期:
2024-03-07
会议日期:
2024-06-03
会议地点:
Orlando, Florida, USA
届数:
12
浏览: 19391   关注: 0   参加: 0

会伴指数 (CP-I)

45.9 / 100
全站第 2,434 名 / 共 5,645 个会议 · 前 44%

生物信息学与健康信息学 第 68 / 181

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
69
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 有据可查的届次：12 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-08-31

征稿

ICHI 2024 (IEEE International Conference on Healthcare Informatics) is an academic conference held in Orlando, Florida, USA on 2024-06-03. The paper submission deadline is 2024-01-21. Acceptance notifications are sent on 2024-03-07.

Tracks IEEE ICHI 2024 is a premier community forum concerned with the application of computer science, information science, data science, and informatics principles, as well as information technology, and communication science and technology to address problems and support research in healthcare, medicine, life science, public health, and everyday wellness. The conference highlights the most novel technical contributions to stakeholder-centered technology innovation for benefiting human health and the related social and ethical implications. We strongly encourage authors to submit their original contributions describing their algorithmic, methodological or empirical contributions, and theories relevant to the broader context of health informatics. Submissions can focus on one or more specific aspects of theory, design, development, evaluation, or deployment. IEEE ICHI 2024 has three main tracks for paper submissions: analytics, human factors, and systems: Analytics Track In the Analytics track, we invite submissions on novel methods for exploring and analyzing healthcare data such as biomedical pattern recognition, biomarker discovery, disease profiling and personalized treatment, natural language processing and text mining, recommender systems, clinical phenotyping, visual analytics, explainability, and epidemiological modeling. Human Factors Track Contributions in the realm of Human Factors may include empirical studies on the use and needs of health information technology in everyday life, socio-technical studies on the implementation and utilization of health information technology in clinical settings, investigations into the community-level impact and implications of health informatics, design and evaluative efforts centered on innovative user-centered health information technology, as well as empirical research on public policies that leverage health informatics infrastructures. Systems Track The Systems track welcomes submissions related to the design, development, deployment, and evaluation of high-performing, privacy-preserving and secure software or hardware systems. In particular, the Systems track invites submissions on the development of large language model (LLM) applications, such as ChatGPT, their utilization in clinical settings, and the strengths and limitations of LLMs in enhancing the efficiency and effectiveness of clinical research, education, and practice.
由 Dou Sun 最后更新于

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