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Forecasting

A machine learning model on Real World Data for predicting progression to Acute Respiratory Distress Syndrome (ARDS) among COVID-19 patients

Nicola Lazzarini, Avgoustinos Filippoupolitis, Pedro Manzione, Hariklia Eleftherohorinou

Progressive censoring schemes for marshall-olkin pareto distribution with applications: Estimation and prediction

R. Alshenawy, Hanan Haj Ahmad, Ali Al-Alwan

Prediction models used in the progression of chronic kidney disease: A scoping review

David K. E. Lim, James H. Boyd, [ ... ], Suzanne Robinson

Assessing the utility value of Hucul horses using classification models, based on artificial neural networks

Jadwiga Topczewska, Jacek Bartman, Tadeusz Kwater

Oropouche virus infection in patients with acute febrile syndrome: Is a predictive model based solely on signs and symptoms useful?

Hilda V. Durango-Chavez, Carlos J. Toro-Huamanchumo, [ ... ], Zully M. Puyen

Calculating the individual probability of successful ocriplasmin treatment in eyes with vitreomacular traction–Validation and refinement of a multivariable prediction model

Christoph Paul, Hans-Helge Müller, [ ... ], on behalf of the EXPORT study group

Assessing the added value of linking electronic health records to improve the prediction of self-reported COVID-19 testing and diagnosis

Dylan Clark-Boucher, Jonathan Boss, [ ... ], Bhramar Mukherjee

The usefulness of D-dimer as a predictive marker for mortality in patients with COVID-19 hospitalized during the first wave in Italy

Shermarke Hassan, Barbara Ferrari, [ ... ], on behalf of the COVID-19 Network working group

Predicting age and gender from network telemetry: Implications for privacy and impact on policy

Lida Kuang, Samruda Pobbathi, [ ... ], Vijay K. Gurbani

Predicting compound-protein interaction using hierarchical graph convolutional networks

Danh Bui-Thi, Emmanuel Rivière, Pieter Meysman, Kris Laukens

The Zoom solution: Promoting effective cross-ideological communication online

Ashley L. Binnquist, Stephanie Y. Dolbier, Macrina C. Dieffenbach, Matthew D. Lieberman

Alterations in the molecular composition of COVID-19 patient urine, detected using Raman spectroscopic/computational analysis

John L. Robertson, Ryan S. Senger, [ ... ], Giuseppe Orlando

Processing incomplete questionnaire data into continuous digital biomarkers for addiction monitoring

Andreas Zetterström, Gunnar Dahlberg, [ ... ], Karl Andersson

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