PLOS Digital Health

2022 - 2022

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Volume 1, issue 4, 2022

A systematic review of the prediction of hospital length of stay: Towards a unified framework pp. 1-38

Kieran Stone, Reyer Zwiggelaar, Phil Jones and Neil Mac Parthaláin

Generalizability challenges of mortality risk prediction models: A retrospective analysis on a multi-center database pp. 1-17

Harvineet Singh, Vishwali Mhasawade and Rumi Chunara

Predicting zip code-level vaccine hesitancy in US Metropolitan Areas using machine learning models on public tweets pp. 1-19

Sara Melotte and Mayank Kejriwal

Volume 1, issue 3, 2022

Severity and mortality prediction models to triage Indian COVID-19 patients pp. 1-11

Samarth Bhatia, Yukti Makhija, Sneha Jayaswal, Shalendra Singh, Prabhat Singh Malik, Sri Krishna Venigalla, Pallavi Gupta, Shreyas N Samaga, Rabi Narayan Hota and Ishaan Gupta

Individual illness dynamics: An analysis of children with sepsis admitted to the pediatric intensive care unit pp. 1-15

Sherry L Kausch, Brynne Sullivan, Michael C Spaeder and Jessica Keim-Malpass

Volume 1, issue 2, 2022

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems pp. 1-18

Julia Amann, Dennis Vetter, Stig Nikolaj Blomberg, Helle Collatz Christensen, Megan Coffee, Sara Gerke, Thomas K Gilbert, Thilo Hagendorff, Sune Holm, Michelle Livne, Andy Spezzatti, Inga Strümke, Roberto V Zicari, Vince Istvan Madai and on behalf of the Z-Inspection Initiative

The “Ecosystem as a Service (EaaS)” approach to advance clinical artificial intelligence (cAI) pp. 1-8

Julian Euma Ishii-Rousseau, Shion Seino, Daniel K Ebner, Maryam Vareth, Ming Jack Po and Leo Anthony Celi

Transfer learning for non-image data in clinical research: A scoping review pp. 1-22

Andreas Ebbehoj, Mette Østergaard Thunbo, Ole Emil Andersen, Michala Vilstrup Glindtvad and Adam Hulman

Volume 1, issue 1, 2022

Mobile phone-based interventions for mental health: A systematic meta-review of 14 meta-analyses of randomized controlled trials pp. 1-21

Simon B Goldberg, Sin U Lam, Otto Simonsson, John Torous and Shufang Sun

Regulatory-approved deep learning/machine learning-based medical devices in Japan as of 2020: A systematic review pp. 1-12

Nao Aisu, Masahiro Miyake, Kohei Takeshita, Masato Akiyama, Ryo Kawasaki, Kenji Kashiwagi, Taiji Sakamoto, Tetsuro Oshika and Akitaka Tsujikawa

Best practices in the real-world data life cycle pp. 1-14

Joe Zhang, Joshua Symons, Paul Agapow, James T Teo, Claire A Paxton, Jordan Abdi, Heather Mattie, Charlie Davie, Aracelis Z Torres, Amos Folarin, Harpreet Sood, Leo A Celi, John Halamka, Sara Eapen and Sanjay Budhdeo

Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible pp. 1-16

Tyler J Loftus, Patrick J Tighe, Tezcan Ozrazgat-Baslanti, John P Davis, Matthew M Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R Hogan, J Randall Moorman, Gilbert R Upchurch, Parisa Rashidi and Azra Bihorac

Open challenges in developing digital therapeutics in the United States pp. 1-4

Brenda Y Miao, Douglas Arneson, Michelle Wang and Atul J Butte

Making data for good better pp. 1-4

Caroline Buckee, Satchit Balsari and Andrew Schroeder

PLOS Digital Health, a new journal driving transformation in the delivery of equitable and unbiased healthcare pp. 1-2

Leo Anthony Celi

Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam pp. 1-13

Damien K Ming, Bernard Hernandez, Sorawat Sangkaew, Nguyen Lam Vuong, Phung Khanh Lam, Nguyen Minh Nguyet, Dong Thi Hoai Tam, Dinh The Trung, Nguyen Thi Hanh Tien, Nguyen Minh Tuan, Nguyen Van Vinh Chau, Cao Thi Tam, Ho Quang Chanh, Huynh Trung Trieu, Cameron P Simmons, Bridget Wills, Pantelis Georgiou, Alison H Holmes, Sophie Yacoub and on behalf of the Vietnam ICU Translational Applications Laboratory (VITAL) Investigators