Forecasting influenza activity using machine-learned mobility map

インフルエンザの活動性を予報するという研究もされているようです 携帯電話の位置情報からヒトの移動マップを作り、更に病院から得られた既知の臨床データに基づいて作った感染症伝播モデルと併せ、インフルエンザの活動性を予報したとのこと COVID-19への拡張に期待👍 https://t.co/mVFu0eNgBz

工学：AIでインフルエンザの活動性を予測する ✅機械学習を用いて携帯電話の位置情報からインフルエンザの感染拡大をモデル化し、予測した📱 ✅ニューヨーク州で携帯電話データから人の移動地図を作り、感染状況を予想(2016-17年)🗽 ✅このマップでは感染を正確に予測できた🦠 https://t.co/1Q7b9bifhZ

Forecasting influenza activity using machine-learned mobility map https://t.co/fORVZVgw56

RT @TheORSociety: University of Virginia researchers have used smartphone data and machine learning to forecast the spread of disease. Thei…

University of Virginia researchers have used smartphone data and machine learning to forecast the spread of disease. Their model is as good as or better than applications using commuter data. Read more here: https://t.co/TcS546aso5 #ThisIsOR #ORMS https:

RT @UVA_BI: Our latest publication studies how machine-learned anonymous mobility maps can be used to project the spread of influenza. Lear…

RT @UVA_BI: Our latest publication studies how machine-learned anonymous mobility maps can be used to project the spread of influenza. Lear…

RT @UVA_BI: Our latest publication studies how machine-learned anonymous mobility maps can be used to project the spread of influenza. Lear…

Our latest publication studies how machine-learned anonymous mobility maps can be used to project the spread of influenza. Learn more: https://t.co/WdEC6MCZ5z. @GIDIuva @uvahealthnews @uvavpr https://t.co/ZZLsIi2tmO

The Biocomplexity Institute is studying how a machine-learned anonymized mobility map could be used to forecast the spread of disease. Our research was published in @NatureComms and focused on projecting influenza activity. https://t.co/fb55HcWGYs

機械学習によるインフルエンザ感染拡大の推定モデルの論文ですが、この研究のポイントは携帯を使った匿名データであっても、感染の広がりはかなり正確に推定できるということです。 様々な地域でモデルを試しても十分な精度だったみたいで、社会実装が近いかも。 https://t.co/RvVWqN7kix

RT @LorenzoRighett7: A machine-learned human mobility map to forecast influenza spread. @sriniv_venkat @Sadilek @UVA_BI @UVA_NSSAC https:…

https://t.co/ewEaVo1hF7

RT @NatureComms: A machine-learned human mobility map to forecast influenza spread. @sriniv_venkat @Sadilek @UVA_BI @UVA_NSSAC https://t.c…

Forecasting influenza activity using machine-learned mobility map - https://t.co/vbkPTe7zkZ

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Forecasting influenza activity using machine-learned mobility map https://t.co/lcGoxNrY1G

Forecasting influenza activity using machine-learned mobility map: https://t.co/bEmzrSJnfZ Comments: https://t.co/NvMIHOQsNY

Forecasting influenza activity using machine-learned mobility map https://t.co/STW4LbesUK

Forecasting influenza activity using machine-learned mobility map L: https://t.co/1khphw6tn8 C: https://t.co/AGVOlCP5tV

" 機械学習：人間の動きをモデル化してインフルエンザの活動性を予測する" #機械学習 #深層学習 #AI #ML https://t.co/PbIkraqeJr

RT @NatureComms: A machine-learned human mobility map to forecast influenza spread. @sriniv_venkat @Sadilek @UVA_BI @UVA_NSSAC https://t.c…

RT @NatureComms: A machine-learned human mobility map to forecast influenza spread. @sriniv_venkat @Sadilek @UVA_BI @UVA_NSSAC https://t.c…

A machine-learned human mobility map to forecast influenza spread. @sriniv_venkat @Sadilek @UVA_BI @UVA_NSSAC https://t.co/JgXBrpQJBJ

機械学習：人間の動きをモデル化してインフルエンザの活動性を予測する | Nature Communications | Nature Research https://t.co/c46a89ciEN #AI #人工知能 2021年02月12日 15時00分

RT @A_I_News: 機械学習：人間の動きをモデル化してインフルエンザの活動性を予測する | Nature Communications | Nature Research - Nature Asia https://t.co/iIK3FEEjFu

RT @A_I_News: 機械学習：人間の動きをモデル化してインフルエンザの活動性を予測する | Nature Communications | Nature Research - Nature Asia https://t.co/iIK3FEEjFu

機械学習：人間の動きをモデル化してインフルエンザの活動性を予測する | Nature Communications | Nature Research - Nature Asia https://t.co/iIK3FEEjFu

Forecasting influenza activity using machine-learned mobility map https://t.co/mRJiihkJ62

Our researchers are finding innovative ways to use #mobility #data to forecast #influenza spread: https://t.co/JVyJaUqNUr

RT @edric_ramirez: Using anonymised mobile phone data instead of costly commuter data to forecast influenza spread in Australia & USA Equa…

RT @edric_ramirez: Using anonymised mobile phone data instead of costly commuter data to forecast influenza spread in Australia & USA Equa…

Using anonymised mobile phone data instead of costly commuter data to forecast influenza spread in Australia & USA Equal or greater performance than 3 conventional systems with extensibility across geographies @Google @CDCgov @nature #publichealth

https://t.co/hHDd0Qv674

Forecasting influenza activity using machine-learned mobility map https://t.co/zhjuo4Vt9w

Forecasting influenza activity using machine-learned mobility map https://t.co/9usri9aiTp

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @LorenzoRighett7: A machine-learned human mobility map to forecast influenza spread. @sriniv_venkat @Sadilek @UVA_BI @UVA_NSSAC https:…

RT @UmZ1paZbmB6KpPV: 機械学習：人間の動きをモデル化してインフルエンザの活動性を予測する | Nature Communications | Nature Research https://t.co/1SQIQmbnBO

機械学習：人間の動きをモデル化してインフルエンザの活動性を予測する | Nature Communications | Nature Research https://t.co/1SQIQmbnBO

Using #ML to forecast flu ⁦@nature⁩ https://t.co/ipxrcUKFuZ

RT @LorenzoRighett7: A machine-learned human mobility map to forecast influenza spread. @sriniv_venkat @Sadilek @UVA_BI @UVA_NSSAC https:…

A machine-learned human mobility map to forecast influenza spread. @sriniv_venkat @Sadilek @UVA_BI @UVA_NSSAC https://t.co/kW9IFrUyr2

Interesting

機械学習：人間の動きをモデル化してインフルエンザの活動性を予測する （Nature Research） https://t.co/Ic1OGGiK8R

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

機械学習：人間の動きをモデル化してインフルエンザの活動性を予測する | Nature Communications | Nature Research: https://t.co/XO9LXDKvOl

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

Forecasting influenza activity using machine-learned mobility map | Nature Communications https://t.co/CrlZafsa8M

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @NatureJapan: 機械学習：人間の動きをモデル化してインフルエンザの活動性を予測する | Nature Communications https://t.co/cNSA0ucyLN #機械学習 #インフルエンザ

面白いが微妙🎵 「携帯電話から収集したデータを使用して、流行拡大を予測できる可能性のあることを明らかにした。今回の結果を重症急性呼吸器症候群コロナウイルス2（SARS-CoV-2）などの他のウイルス感染症にも適用できるかを見極めるためには、さらなる研究が必要」

Machine learning: Modelling human movements to predict influenza activity | Nature Communications https://t.co/on0P8QTr0V #Machinelearning #influenza

機械学習：人間の動きをモデル化してインフルエンザの活動性を予測する | Nature Communications https://t.co/cNSA0ucyLN #機械学習 #インフルエンザ

RT @DrKrystleReagan: #AI tools can help us predict disease outbreaks! #betterdatasaveslives #betterdatasavespets https://t.co/Y2yiZ7ohuT

#AI tools can help us predict disease outbreaks! #betterdatasaveslives #betterdatasavespets

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

RT @alvie_barr: Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disea…

Forecasting Influenza Activity Using Machine-Learned Mobility Map 👉 Contributes towards developing timely infectious disease forecasting Link: https://t.co/Pp46x31LxU @nresearchnews #100daysofcode #MedTwitterAI #AI #ML #EpiTwitter https://t.co/emG3F1a8h

#RT The spread of influenza can be modelled and forecast using a machine-learning-based analysis of anonymized mobile phone data, according to a NatureComms paper. https://t.co/VukIfDilRB https://t.co/YjZ1teDtvA

Forecasting influenza activity using machine-learned mobility map https://t.co/o6KgH1yyqt #MachineLearning #NatureJournal #AI

RT Forecasting influenza activity using machine-learned mobility map https://t.co/WghxxNOeiN