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Predictive Mathematical Models of the COVID-19 Pandemic: Underlying Principles and Value of Projections
Predictive Mathematical Models of the COVID-19 Pandemic: Underlying Principles and Value of Projections
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Predictive Mathematical Models of the COVID-19 Pandemic: Underlying Principles and Value of Projections

Jewell, Nicholas P ; Lewnard, Joseph A ; Jewell, Britta L

JAMA : the journal of the American Medical Association, 2020-05, Vol.323 (19), p.1893-1894 [Periódico revisado por pares]

United States: American Medical Association

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2
Wrist-worn smartwatch and predictive models for seizures
Wrist-worn smartwatch and predictive models for seizures
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Wrist-worn smartwatch and predictive models for seizures

Pipatpratarnporn, Waroth ; Muangthong, Wichuta ; Jirasakuldej, Suda ; Limotai, Chusak

Epilepsia (Copenhagen), 2023-10, Vol.64 (10), p.2701-2713 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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3
Predictive models for clinical decision making: Deep dives in practical machine learning
Predictive models for clinical decision making: Deep dives in practical machine learning
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Predictive models for clinical decision making: Deep dives in practical machine learning

Eloranta, Sandra ; Boman, Magnus

Journal of internal medicine, 2022-08, Vol.292 (2), p.278-295 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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4
Predictive Models for Acute Kidney Injury Following Cardiac Surgery: The Importance of Accurate and Actionable Prediction
Predictive Models for Acute Kidney Injury Following Cardiac Surgery: The Importance of Accurate and Actionable Prediction
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Predictive Models for Acute Kidney Injury Following Cardiac Surgery: The Importance of Accurate and Actionable Prediction

Ostermann, Marlies ; Lumlertgul, Nuttha ; Wilson, Francis Perry

JAMA : the journal of the American Medical Association, 2022-03, Vol.327 (10), p.927-929 [Periódico revisado por pares]

United States: American Medical Association

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5
Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics
Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics
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Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics

Adhikari, Lasith ; Ozrazgat-Baslanti, Tezcan ; Ruppert, Matthew ; Madushani, R W M A ; Paliwal, Srajan ; Hashemighouchani, Haleh ; Zheng, Feng ; Tao, Ming ; Lopes, Juliano M ; Li, Xiaolin ; Rashidi, Parisa ; Bihorac, Azra Valenza, Gaetano

PloS one, 2019-04, Vol.14 (4), p.e0214904 [Periódico revisado por pares]

United States: Public Library of Science

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6
The high-dose aldesleukin "select" trial: a trial to prospectively validate predictive models of response to treatment in patients with metastatic renal cell carcinoma
The high-dose aldesleukin "select" trial: a trial to prospectively validate predictive models of response to treatment in patients with metastatic renal cell carcinoma
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The high-dose aldesleukin "select" trial: a trial to prospectively validate predictive models of response to treatment in patients with metastatic renal cell carcinoma

McDermott, David F ; Cheng, Su-Chun ; Signoretti, Sabina ; Margolin, Kim A ; Clark, Joseph I ; Sosman, Jeffrey A ; Dutcher, Janice P ; Logan, Theodore F ; Curti, Brendan D ; Ernstoff, Marc S ; Appleman, Leonard ; Wong, Michael K K ; Khushalani, Nikhil I ; Oleksowicz, Leslie ; Vaishampayan, Ulka N ; Mier, James W ; Panka, David J ; Bhatt, Rupal S ; Bailey, Alexandra S ; Leibovich, Bradley C ; Kwon, Eugene D ; Kabbinavar, Fairooz F ; Belldegrun, Arie S ; Figlin, Robert A ; Pantuck, Allan J ; Regan, Meredith M ; Atkins, Michael B

Clinical cancer research, 2015-02, Vol.21 (3), p.561-568 [Periódico revisado por pares]

United States

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7
A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial
A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial
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A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial

Dumontet, Charles ; Hulin, Cyrille ; Dimopoulos, Meletios A ; Belch, Andrew ; Dispenzieri, Angela ; Ludwig, Heinz ; Rodon, Philippe ; Van Droogenbroeck, Jan ; Qiu, Lugui ; Cavo, Michele ; Van de Velde, Ann ; Lahuerta, Juan José ; Allangba, Olivier ; Lee, Jae Hoon ; Boyle, Eileen ; Perrot, Aurore ; Moreau, Philippe ; Manier, Salomon ; Attal, Michel ; Roussel, Murielle ; Mohty, Mohamad ; Mary, Jean Yves ; Civet, Alexandre ; Costa, Bruno ; Tinel, Antoine ; Gaston-Mathé, Yann ; Facon, Thierry

Leukemia, 2018-06, Vol.32 (6), p.1404-1413 [Periódico revisado por pares]

England: Nature Publishing Group

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8
Unveiling the best predictive models for early‑onset metastatic cancer: Insights and innovations (Review)
Unveiling the best predictive models for early‑onset metastatic cancer: Insights and innovations (Review)
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Unveiling the best predictive models for early‑onset metastatic cancer: Insights and innovations (Review)

Yu, Liqing ; Huang, Zhenjun ; Xiao, Ziqi ; Tang, Xiaofu ; Zeng, Ziqiang ; Tang, Xiaoli ; Ouyang, Wenhao

Oncology reports, 2024-04, Vol.51 (4), p.1, Article 60

Greece: Spandidos Publications

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9
Variant Classification Discordance: Contributing Factors and Predictive Models
Variant Classification Discordance: Contributing Factors and Predictive Models
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Variant Classification Discordance: Contributing Factors and Predictive Models

Ghaedi, Hamid ; Davey, Scott K ; Feilotter, Harriet

The Journal of molecular diagnostics : JMD, 2024-02, Vol.26 (2), p.115-126 [Periódico revisado por pares]

United States

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10
How to Choose Suitable Physics‐Based Models Without Tuning and System Identification for Model‐Predictive Control of Open Water Channels?
How to Choose Suitable Physics‐Based Models Without Tuning and System Identification for Model‐Predictive Control of Open Water Channels?
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How to Choose Suitable Physics‐Based Models Without Tuning and System Identification for Model‐Predictive Control of Open Water Channels?

Horváth, K. ; Esch, B. ; Pothof, I.

Water resources research, 2024-04, Vol.60 (4), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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