#modelospredictivos

Live, measured metrics for the hashtag #modelospredictivos from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-02 00:07 UTC
0
07-27
0
07-28
0
07-29
0
07-30
0
07-31
0
08-01
0
08-02

0 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 2026-08-02 00:07 UTC

No related tags with measured usage found for #modelospredictivos.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-02 00:07 UTC

Everything below is measured over the latest 2 public posts (spanning ~914 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Spanish (2)

Avg boosts / post: 0

Top of the latest posts

  • 📉 Regresión lineal en 60 segundos ¿La usas a diario pero nunca terminás de explicarla? En este video te muestro: 🔹 Qué hace realmente una regresión lineal 🔹 Cómo interpretar la pendiente sin marearte 🔹 El error más común (y cómo evitarl

    Jefferson Samillan@[email protected]♥ 0↻ 02026-05-23 20:29 UTCView post →

  • El Hospital público Infanta Leonor avanza con modelos predictivos en la hospitalización a domicilio 🏥📊⚕️ El Hospital Universitario Infanta Leonor de Villa de Vallecas ha impulsado el proyecto 'AI-DOMUS: Espacio de datos de atención sanita

    Portal Vallecas@[email protected]♥ 0↻ 02026-04-15 18:57 UTCView post →

#modelospredictivos across platforms

every network with a public tag surface

Follow #modelospredictivos 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/modelospredictivos