ArticleNature medicine2018
Individualized sepsis treatment using reinforcement learning.
Article in Nature medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
13 citing papers in PubMed.
- Digital twins to accelerate target identification and drug development for immune-mediated disorders.FEBS open bio · 2026Review
- From Sensing to Sense-Making: A Framework for On-Person Intelligence with Wearable Biosensors and Edge LLMs.Sensors (Basel, Switzerland) · 2026Article
- Smart Imitator: Learning from Imperfect Clinical Decisions.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Early On-Treatment Expansion of Peripheral γδT Cells as a Noninvasive Biomarker of Response to Programmed Death-1 Inhibitor Therapy in Advanced Non-Small Cell Lung Cancer.Cancer management and research · 2026Article
- Leveraging physiology and artificial intelligence to deliver advancements in health care.Physiological reviews · 2023Review
- Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia.NPJ digital medicine · 2023Article
- Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning.BMC medical informatics and decision making · 2023Article
- Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Closed-Loop Controlled Fluid Administration Systems: A Comprehensive Scoping Review.Journal of personalized medicine · 2022Article
- Article
- Machine Learning Challenges in Pharmacogenomic Research.Clinical pharmacology and therapeutics · 2021Article
- Early detection of sepsis using artificial intelligence: a scoping review protocol.Systematic reviews · 2021Article
- Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data.GigaScience · 2020Article
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
30397359What 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.