@CjColclough @mathbabedotorg @agstrait @LinaDencik @AINowInstitute @mer__edith @carlykind_ @LauraTaddei8 @MaryMay_ling Here are a few (some more relevant than others): https://t.co/IsrxWKylPL https://t.co/q7o9sRgXnL https://t.co/PYFseuGTnc https://t.co/nLE
@jnheo Dr Heo -- Really well-written paper! Congrats on the publication! Any chance you could share the processed de-identified data? (Similar to what has been done here: https://t.co/OxkqFYMDKB)
An interpretable #mortality #predictionmodel for #COVID19 patients https://t.co/sUlt4ybP9l | via @NatMachIntell
1/3 Every researcher's nightmare: your study gets published in a medical journal with so many warning signs about reproducibility under your title: https://t.co/ZfEmbfqcCx
2/The initial study was published on 5/14, we submitted our paper on 6/5. In the initial publication by Yan et al., the authors claimed to have developed a novel simplified mortality prediction model to apply in clinical practice. https://t.co/LLL57LusUV
RT @Dorotypn: @jairbolsonaro @TeichNelson @allantercalivre @fabifbbr @kimpaim https://t.co/ntqN7v97TQ tive acesso a partir do perfil da…
@5_00am @USSRComeBack Мне это напоминает Трамповские бредни. Тогда была задержка в почти 10 дней, когда народ начал умирать. https://t.co/nRCYRcjGRS
RT @sanchak74: Which are bacterial markers - showing co-infection. Noted here as "Clinical interpretation" https://t.co/zp0Ij42RD2 with a…
RT @sanchak74: Which are bacterial markers - showing co-infection. Noted here as "Clinical interpretation" https://t.co/zp0Ij42RD2 with a…
Which are bacterial markers - showing co-infection. Noted here as "Clinical interpretation" https://t.co/zp0Ij42RD2 with a response from the original authors https://t.co/6WP8OkCc8I Even the immune response is mixed (Th1, Th2 and Th17)
RT @PaulaMarttila: @Dr_FarrisD Hi Faris, curious if you know if following model has been studied / implemented in 🇸🇪? Or if you have though…
@Dr_FarrisD Hi Faris, curious if you know if following model has been studied / implemented in 🇸🇪? Or if you have thoughts on the model? Thx! Mortality prediction model #COVID19 patients using 3 indicators (LDH, hs-CRP, lymphocytes) #MachineLearning #AI #c
@zerohedge Actual determining factors that have been studied to show likely morbidity. https://t.co/E0tGIzOfCw
RT @NatMachIntell: Early clinical assessment of COVID-19 severity is vital. An interpretable machine learning study in which blood sample d…
RT @NatMachIntell: Early clinical assessment of COVID-19 severity is vital. An interpretable machine learning study in which blood sample d…
@PeterZeihan Let's stop worrying so much about whether people have it, or will have it, but rather how likely it is to survive it: https://t.co/E0tGIzOfCw
RT @ml_medicine: A new, simple, and interpretable death risk assessment algorithm for patients with COVID-19 (Acc > 90 %) https://t.co/hjgR…
A new, simple, and interpretable death risk assessment algorithm for patients with COVID-19 (Acc > 90 %) https://t.co/hjgRryYxiN #medicine #ML #AI #COVIDー19 #DataScience #MachineLearning https://t.co/93yWdmbe2R
RT @Montuclard2: Une règle de prédiction à 90% de la mortalité à J10 dans la covid19 reposant sur trois marqueurs biologiques: LDH / CRP/ l…
RT @NatureJapan: Nature Machine Intelligence 2020年5月「COVID-19患者に関する解釈可能な死亡予測モデル」https://t.co/waTmtkZKFX @NatMachintell
RT @NatureJapan: Nature Machine Intelligence 2020年5月「COVID-19患者に関する解釈可能な死亡予測モデル」https://t.co/waTmtkZKFX @NatMachintell
Nature Machine Intelligence 2020年5月「COVID-19患者に関する解釈可能な死亡予測モデル」https://t.co/waTmtkZKFX @NatMachintell
RT @cbiotesting: Machine learning algorithm predicts COVID-19 mortality with 90%. Here’s how AI can help distinguish patients that need imm…
RT @cbiotesting: Machine learning algorithm predicts COVID-19 mortality with 90%. Here’s how AI can help distinguish patients that need imm…
RT @cbiotesting: Machine learning algorithm predicts COVID-19 mortality with 90%. Here’s how AI can help distinguish patients that need imm…
Machine learning algorithm predicts COVID-19 mortality with 90%. Here’s how AI can help distinguish patients that need immediate medical attention. #Covid_19 #MachineLearning https://t.co/icIluFbnLD
@libphil_ @I_Kond Unfortunately even at this stage, too many unknowns. We still don't know what triggers person to decline to the critical condition. https://t.co/nRCYRcjGRS
https://t.co/SLk0TeA6vs 「乳酸脱水素酵素(LDH)、リンパ球、高感度C反応性タンパク質(hs-CRP)という3つのバイオマーカーは、個々の患者の死亡を、その転帰の10日以上前に、90%以上の精度で予測することができた」・・コロナ対策にマーカーのアプローチ
MedCity reported that three potential biomarkers were found from an analysis of Wuhan blood samples. https://t.co/JMyOkDxl3v
tres biomarcadores que predicen la mortalidad de pacientes individuales con más de 10 días de anticipación con más del 90% de precisión: deshidrogenasa láctica (LDH), linfocitos y proteína C reactiva de alta sensibilidad (hs-CRP). https://t.co/5clgGGLPcK h
@threadreaderapp unroll
Daily Bookmarks to GAVNet 6/03/2020-2 https://t.co/vH9WzIyftp An interpretable mortality prediction model for COVID-19 patients | Nature Machine Intelligence https://t.co/ipOujdhTQV #model #intelligence #machine #prediction #mortality
#INFEMECOG Un modelo de predicción de mortalidad interpretable para pacientes con COVID-19. Artículo completo en inglés: https://t.co/zebYTmzStz Resumen español: https://t.co/l4Zmcpyu2E
RT @SteveWardHoD: Important discoveries that may govern treatment of any potential second COVID 19 surge things : An interpretable mortalit…
RT @sees_lab: An explainable machine learning tool trained on blood sample data from 485 patients from Wuhan selected three biomarkers for…
RT @sees_lab: An explainable machine learning tool trained on blood sample data from 485 patients from Wuhan selected three biomarkers for…
RT @ViRAms: .
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RT @sees_lab: An explainable machine learning tool trained on blood sample data from 485 patients from Wuhan selected three biomarkers for…
RT @sees_lab: An explainable machine learning tool trained on blood sample data from 485 patients from Wuhan selected three biomarkers for…
RT @sees_lab: An explainable machine learning tool trained on blood sample data from 485 patients from Wuhan selected three biomarkers for…
RT @sees_lab: An explainable machine learning tool trained on blood sample data from 485 patients from Wuhan selected three biomarkers for…
RT @sees_lab: An explainable machine learning tool trained on blood sample data from 485 patients from Wuhan selected three biomarkers for…
RT @sees_lab: An explainable machine learning tool trained on blood sample data from 485 patients from Wuhan selected three biomarkers for…
RT @sees_lab: An explainable machine learning tool trained on blood sample data from 485 patients from Wuhan selected three biomarkers for…
RT @sees_lab: An explainable machine learning tool trained on blood sample data from 485 patients from Wuhan selected three biomarkers for…
An explainable machine learning tool trained on blood sample data from 485 patients from Wuhan selected three biomarkers for predicting mortality of individual patients with high accuracy https://t.co/6lfq3ZYhO6 https://t.co/dz9q3AbeBK
RT @laoneill111: Important discoveries are coming thick and fast. 3 things (LDH, CRP and lymphocyte count) in patients can govern treatment…
This @NatMachIntell study used machine learning to select three biomarkers that predict the mortality of #COVID19 patients more than 10 days in advance with more than 90% accuracy. https://t.co/oQZzl40liG https://t.co/5sege5GHTf
Scientists appear to have identified biomarkers that can predict whether a COVID-19 patient will develop severe illness ten days in advance.. https://t.co/npEZ7YoYPw #covid #goodnews #coronavirus https://t.co/Kvc6lcy6l4
Predicting mortality for #COVID19 An interpretable mortality prediction model for COVID-19 patients | Nature Machine Intelligence https://t.co/eEdPcvISID
There are a few markers that do, especially elevated LDH, but also CRP, d-dimer, and/or neutrophil/lymphocyte ratio. The authors could easily address the criticism by showing at minimum the LDH values for their control & experimental groups. https://
RT @IforRWilliams: Wow! Machine learning indicates #LDH level alone is an early & uncannily strong predictor of survival vs. death in sever…
RT @BioDecoded: An interpretable mortality prediction model for COVID-19 patients | Nature Machine Intelligence https://t.co/6HQan85yHx #C…
"the level of lactate dehydrogenase (LDH) in the blood, was highly indicative of COVID-19 mortality." "they can possibly help to identify patients that require immediate medical attention, which will be vital to guide clinical decision making." https://t
Main #biomarkers biomarkers that predict mortality in #COVID19: 👉lactic dehydrogenase (LDH) 👉lymphocyte 👉C-reactive protein in @NatMachIntell https://t.co/c3HDAhtfAR
La linfopenia y los niveles séricos de LDH y PCR. Tres marcadores que sirven para el pronóstico de severidad en los infectados por covid.
An interpretable mortality prediction model for COVID-19 patients | Nature Machine Intelligence https://t.co/ipOujdhTQV #Prediction #intelligence #mortality #machines #nature
An interpretable mortality prediction model for #COVID19 patients. By Yan et al on Nature Machine Intelligence. https://t.co/mrdsaRhfB2 It would be interesting to test this model as the knowledge of the virus and the treatments advance. https://t.co/Php1Vh
RT @HubBucket: #MachineLearning Tools selected three #Biomarkers that can #Predict the #Mortality of #COVID19 patients from Blood Samples f…
RT @HubBucket: #MachineLearning Tools selected three #Biomarkers that can #Predict the #Mortality of #COVID19 patients from Blood Samples f…
RT @Rosenchild: #MachineLearning Tools selected three #Biomarkers that can #Predict the #Mortality of #COVID19 patients from Blood Samples…
#MachineLearning Tools selected three #Biomarkers that can #Predict the #Mortality of #COVID19 patients from Blood Samples from Infected individuals. 🖥️ https://t.co/XKjmVlNsW7 @NatMachIntell @nresearchnews @HubBucket @ProsumerSoft https://t.co/TfMG6Dwg
#MachineLearning Tools selected three #Biomarkers that can #Predict the #Mortality of #COVID19 patients from Blood Samples from Infected individuals. 🖥️ https://t.co/ODXpmMRGh1 @NatMachIntell @nresearchnews @HubBucket @ProsumerSoft https://t.co/4yBmvjqT
Could help I'm treatment decisions.
RT @SBeekeeper: Drs. in Wuhan have selected 3 biomarkers (easily identifiable in blood samples) that predict the mortality of individual pa…
RT @SBeekeeper: Drs. in Wuhan have selected 3 biomarkers (easily identifiable in blood samples) that predict the mortality of individual pa…
RT @nresearchnews: Machine learning tools selected three biomarkers that can predict the mortality of #COVID19 patients from blood samples…
RT @jaorsal: Machine learning tools selected three biomarkers that can predict the mortality of #COVID19 patients @NatMachIntell. https://t…
Machine learning tools selected three biomarkers that can predict the mortality of #COVID19 patients @NatMachIntell. https://t.co/OqBvIKFdw0
@CorinneReverbel
RT @MChehrenama: LDH, hs-CRP, and Lymphocytes: Machine learning AI-based mortality prediction model markers for approximately 480 patients…
RT @ROBERTO_COLOM: “relatively high levels of LDH alone seem to play a crucial role in distinguishing the vast majority of cases that requi…
“relatively high levels of LDH alone seem to play a crucial role in distinguishing the vast majority of cases that require immediate medical attention.”
RT @GudkovMaks: Machine learning had selected #biomarkers that predict the mortality of individual #COVID19 patients more than 10 days in a…
Machine learning had selected #biomarkers that predict the mortality of individual #COVID19 patients more than 10 days in advance with more than 90% accuracy: lactic dehydrogenase (LDH), lymphocyte and high-sensitivity C-reactive protein (hs-CRP) https://t
RT @Tcellexhaustion: Very nice study in Nat.MI; Machine learning identifies that LDH, hs-CRP and lymphocyte count predict COVID19 disease…
Very nice study in Nat.MI; Machine learning identifies that LDH, hs-CRP and lymphocyte count predict COVID19 disease severity 10 days in advance and with 90% accuracy, n=485. @SpringerNature @CAidedBiology #coronavirus #COVIDー19
RT @riikka_kevo: Three biomarkers to follow: 1. Lactic dehydrogenase #LDH, 2. #lymphocyte and 3. high-sensitivity C-reactive protein #hsCR…
Three biomarkers to follow: 1. Lactic dehydrogenase #LDH, 2. #lymphocyte and 3. high-sensitivity C-reactive protein #hsCRP. They can predict the #mortality in #Covid19-patients.
Machine learning tools selected three biomarkers that can predict the mortality of #COVID19 patients from blood samples from infected individuals, reports a paper published in @NatMachIntell. https://t.co/JwzPBTy1On https://t.co/8ynMNubLc9
RT @NatureJapan: 機械学習:新型コロナウイルス感染症による死亡と関連する3つのバイオマーカーをモデルが特定 | Nature Machine Intelligence https://t.co/96YIID6rNW #新型コロナウイルス感染症 #機械学習
An interpretable mortality prediction model for COVID-19 patients | Nature Machine Intelligence https://t.co/mZBgYkHzMH @ICMRDELHI , @MoHFW_INDIA , @DelhiVsCorona
RT @nresearchnews: Machine learning tools selected three biomarkers that can predict the mortality of #COVID19 patients from blood samples…
RT @BioLibelula: Lactic dehydrogenase (LDH), lymphocyte and high-sensitivity C-reactive protein (hs-CRP) as predicted biomarkers for Covid-…
Lactic dehydrogenase (LDH), lymphocyte and high-sensitivity C-reactive protein (hs-CRP) as predicted biomarkers for Covid-19 using machine learning -> An interpretable mortality prediction model for COVID-19 patients | Nature Machine Intelligence https
RT @BioDecoded: An interpretable mortality prediction model for COVID-19 patients | Nature Machine Intelligence https://t.co/6HQan85yHx #C…
@hendrikstreeck Maybe with reliable prediction models we can better plan who needs Remdesivir treatment early on? Or is that already a "no brainer" these days? https://t.co/6PscSItYcx
RT @breastoncdoc: (4/8) HCQ and CQ are the only FDA-approved autophagy inhibitors. Were subjects in the Lancet study stratified by LDH lev…