ArticleFrontiers in medicine2021
Developing Machine Learning Algorithms to Predict Pulmonary Complications After Emergency Gastrointestinal Surgery.
Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Prediction models for postoperative pulmonary complications: a systematic review and meta-analysis.British journal of anaesthesia · 2025Pooled it
- Prediction of Complications and Prognostication in Perioperative Medicine: A Systematic Review and PROBAST Assessment of Machine Learning Tools.Anesthesiology · 2024Pooled it
- Prognostic value of diabetes-related clinical indices in patients with non-small cell lung cancer and comorbid type 2 diabetes receiving immune checkpoint inhibitor therapy.Acta diabetologica · 2026Article
- A web-based two-stage prediction model for postoperative pulmonary complications using preoperative and intraoperative data.Journal of anesthesia and translational medicine · 2026Article
- Perioperative Blood Biomarkers of Infectious and Non-Infectious Postoperative Pulmonary Complications: A Narrative Review.Journal of clinical medicine · 2026Review
- Review
- Multilevel risk analysis of postoperative pulmonary complications following mandibular fractures: a retrospective cohort study based on patient characteristics and healthcare system factors.BMC oral health · 2025Article
- A nomogram to predict pulmonary complications after gastrointestinal surgery: a retrospective study.BMC gastroenterology · 2025Article
- A predictive model for post-thoracoscopic surgery pulmonary complications based on the PBNN algorithm.Scientific reports · 2024Article
- Artificial intelligence algorithms for predicting post-operative ileus after laparoscopic surgery.Heliyon · 2024Article
- Machine learning perioperative applications in visceral surgery: a narrative review.Frontiers in surgery · 2024Review
- Article
- Harnessing Machine Learning for Prediction of Postoperative Pulmonary Complications: Retrospective Cohort Design.Journal of clinical medicine · 2023Article
- Predicting early postoperative PONV using multiple machine-learning- and deep-learning-algorithms.BMC medical research methodology · 2023Article
- Prediction of Postoperative Pulmonary Edema Risk Using Machine Learning.Journal of clinical medicine · 2023Article
- Research Progress of Respiratory Disease and Idiopathic Pulmonary Fibrosis Based on Artificial Intelligence.Diagnostics (Basel, Switzerland) · 2023Review
- A New Random Forest Algorithm-Based Prediction Model of Post-operative Mortality in Geriatric Patients With Hip Fractures.Frontiers in medicine · 2022Article
- Predicting difficult airway intubation in thyroid surgery using multiple machine learning and deep learning algorithms.Frontiers in public health · 2022Article
- A multicenter prospective study on postoperative pulmonary complications prediction in geriatric patients with deep neural network model.Frontiers in surgery · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.