ArticleThe lancet. Psychiatry2016
Using machine learning to predict outcomes in psychosis.
Article in The lancet. Psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Machine learning model and nomogram to predict the risk of heart failure hospitalization in peritoneal dialysis patients.Renal failure · 2024Article
- Do LUTS Predict Mortality? An Analysis Using Random Forest Algorithms.Clinical interventions in aging · 2024Article
- Combining MRI and clinical data to detect high relapse risk after the first episode of psychosis.Schizophrenia (Heidelberg, Germany) · 2022Article
- Early Diagnosis of Bipolar Disorder Coming Soon: Application of an Oxidative Stress Injury Biomarker (BIOS) Model.Neuroscience bulletin · 2022Article
- Individualized prediction of psychiatric readmissions for patients with major depressive disorder: a 10-year retrospective cohort study.Translational psychiatry · 2022Article
- Analysis of Seasonal Clinical Characteristics in Patients With Bipolar or Unipolar Depression.Frontiers in psychiatry · 2022Article
- "It's all about delivery": researchers and health professionals' views on the moral challenges of accessing neurobiological information in the context of psychosis.BMC medical ethics · 2021Article
- Psychosis, vulnerability, and the moral significance of biomedical innovation in psychiatry. Why ethicists should join efforts.Medicine, health care, and philosophy · 2020Article
- Applying Machine Learning Techniques to Identify Undiagnosed Patients with Exocrine Pancreatic Insufficiency.Journal of health economics and outcomes research · 2019Article
- Article
- Using a Guided Machine Learning Ensemble Model to Predict Discharge Disposition following Meningioma Resection.Journal of neurological surgery. Part B, Skull base · 2018Article
- Realising stratified psychiatry using multidimensional signatures and trajectories.Journal of translational medicine · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
27569527What 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.