194 Machine learning for early prediction of sepsis from electronic health records: a preliminary validation study at GOSH
Bibliographic record
Abstract
Anticoagulation in paediatric congenital heart disease; the use of RivaroxabanThrombosis is one of the most frequent complications affecting children with congenital heart disease, leading to increased mortality and morbidity.Anticoagulation with antiplatelet(s) and/or thrombolytic agents are used for different prophylactic or treatment indications.In 2020 a randomized EINSTEIN-Jr study showed similar efficacy and safety for rivaroxaban as standard anticoagulation for treatment of paediatric venous thromboembolism (VTE).The rivaroxaban dosing strategy was established based on phase 1 and 2 data in children and through pharmacokinetic (PK) modelling.Rivaroxaban is a direct inhibitor of activated factor X and known as a direct-acting oral anticoagulant (DOAC).No routine blood test is needed.Still, there are monitoring requirements for bleeding, bruising or anaemia.Liver function, urea and electrolytes, full blood count and clotting screen should be performed before treatment start.The patient should have an urgent clinical review if prolonged bleeding, head injury, unexplained bruising, or unexplained behaviour.In 2020, following approval by the committee for drugs and therapeutics Great Ormond Street Hospital (GOSH) released the use of Rivaroxaban for treatment and Thromboprophylaxis of VTE in patients 0-18 years.The overall governance was managed by the haematology team.Data was collected for six months following GOSH implementation of Rivaroxaban and again after the drug was included in the BNFc.The first findings of the audit were as follows:. Using Rivaroxaban at GOSH had initial challenges.It had been used and offered in the clinical setting but then the drug became unavailable. .Local General Practitioners were unable to provide prescriptions for the treatment period. .Education standards were created to ensure safety in the community. .Monograph insertion into the BNFc, Rivaroxaban became more widely accepted by all professional groups including those outside paediatric cardiology. .Rivaroxaban seems to be used for other conditions, not only VTE.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".