#醫院
Live, measured metrics for the hashtag #醫院 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #醫院
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-24 21:23 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-24 21:23 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-24 21:23 UTCEverything below is measured over the latest 3 public posts (spanning ~27 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (3)
Avg boosts / post: 0
Top of the latest posts
取得台灣醫院加護病床數的時間序列資料後,如果使用Excel或BI多是以折線圖或直條圖方式表現,但能夠看出什麼嗎? 我討論了使用AI數據分析在AI融入數據分析的運算與判斷後,用來觀察台灣醫院加護病床數趨勢,並提出了四大重點來評估趨勢。 1. 至少持續時間:至少五年形成趨勢線段 2. 趨勢方向 3. 趨勢起訖點 4. 趨勢變化 第二至四點見下圖。你會喜歡看折線圖或直條圖,還是直接看AI數據分析的趨勢圖直接提供你資訊呢? #AI #數據分析 #Excel #BI #醫院 #趨勢
#台灣 #醫院 每萬人口一般病床數趨勢關鍵訊息 事先資訊: 1. 人口數與一般病床數組成新的數據 2.新數據同時受人口數與一般病床數影響 關鍵訊息: 1.與一般病床數比有相同的趨勢起訖點、趨勢方向 2.與一般病床數比趨勢變化不同 #數據分析 #managedhealthcare #managedcare #Healthcare #AI #MathAI
#台灣 #醫院 一般病床數精準趨勢圖 關鍵訊息: 1.快速增長期落在2001年到2006年,涵蓋SARS 2.2012年到2016年病床數減少期 3.2017年到2022年雖然病床數持續增加,但增加速度較1995年到2006年來得緩慢。期間涵蓋Covid-19 #數據分析 #managedhealthcare #managedcare #Healthcare #AI #MathAI
#醫院 across platforms
every network with a public tag surfaceFollow #醫院 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/醫院