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Content
April 2022, Volume 1, Issue 4
- 1-17 Generalizability challenges of mortality risk prediction models: A retrospective analysis on a multi-center database
by Harvineet Singh & Vishwali Mhasawade & Rumi Chunara - 1-19 Predicting zip code-level vaccine hesitancy in US Metropolitan Areas using machine learning models on public tweets
by Sara Melotte & Mayank Kejriwal - 1-38 A systematic review of the prediction of hospital length of stay: Towards a unified framework
by Kieran Stone & Reyer Zwiggelaar & Phil Jones & Neil Mac Parthaláin
March 2022, Volume 1, Issue 3
- 1-11 Severity and mortality prediction models to triage Indian COVID-19 patients
by Samarth Bhatia & Yukti Makhija & Sneha Jayaswal & Shalendra Singh & Prabhat Singh Malik & Sri Krishna Venigalla & Pallavi Gupta & Shreyas N Samaga & Rabi Narayan Hota & Ishaan Gupta - 1-15 Individual illness dynamics: An analysis of children with sepsis admitted to the pediatric intensive care unit
by Sherry L Kausch & Brynne Sullivan & Michael C Spaeder & Jessica Keim-Malpass
February 2022, Volume 1, Issue 2
- 1-8 The “Ecosystem as a Service (EaaS)” approach to advance clinical artificial intelligence (cAI)
by Julian Euma Ishii-Rousseau & Shion Seino & Daniel K Ebner & Maryam Vareth & Ming Jack Po & Leo Anthony Celi - 1-18 To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
by 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 & on behalf of the Z-Inspection initiative - 1-22 Transfer learning for non-image data in clinical research: A scoping review
by Andreas Ebbehoj & Mette Østergaard Thunbo & Ole Emil Andersen & Michala Vilstrup Glindtvad & Adam Hulman
January 2022, Volume 1, Issue 1
- 1-2 PLOS Digital Health, a new journal driving transformation in the delivery of equitable and unbiased healthcare
by Leo Anthony Celi - 1-4 Making data for good better
by Caroline Buckee & Satchit Balsari & Andrew Schroeder - 1-4 Open challenges in developing digital therapeutics in the United States
by Brenda Y Miao & Douglas Arneson & Michelle Wang & Atul J Butte - 1-12 Regulatory-approved deep learning/machine learning-based medical devices in Japan as of 2020: A systematic review
by Nao Aisu & Masahiro Miyake & Kohei Takeshita & Masato Akiyama & Ryo Kawasaki & Kenji Kashiwagi & Taiji Sakamoto & Tetsuro Oshika & Akitaka Tsujikawa - 1-13 Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam
by 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 & on behalf of the Vietnam ICU Translational Applications Laboratory (VITAL) investigators - 1-14 Best practices in the real-world data life cycle
by 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 & Sanjay Budhdeo - 1-16 Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible
by 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 Jr & Parisa Rashidi & Azra Bihorac - 1-21 Mobile phone-based interventions for mental health: A systematic meta-review of 14 meta-analyses of randomized controlled trials
by Simon B Goldberg & Sin U Lam & Otto Simonsson & John Torous & Shufang Sun