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ICHI 2024: IEEE International Conference on Healthcare Informatics

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ICHI
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投稿締切日:
2024-01-21
通知日:
2024-03-07
開催日:
2024-06-03
開催地:
Orlando, Florida, USA
開催回数:
12
閲覧: 19390   フォロー: 0   参加: 0

会伴インデックス (CP-I)

45.9 / 100
全 5,645 件中 第 2,434 位 · 上位 44%

バイオインフォマティクス・医療情報学 分野 181 件中 第 68 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
69
コミュニティの注目度 (10%)
8
公開情報の充実度 (15%)
25

使用した入力: 確認できる開催回数：12 · 過去 24 か月にこのページを開いた研究者：2 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-08-31

論文募集

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.
最終更新：Dou Sun（）

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