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56 results for “low-resource”
DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature
<p><strong>Datasets</strong></p> <ol> <li>DISTANT-CTO is a weakly-labelled dataset of 'Intervention' and 'Comparator' entity annotated sentences. The dataset was obtained using candidate generation the approach described in "DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low Resource Entity Extraction Using Clinical Trials Literature". <ol> <li>distantcto_high_conf.txt - ds conf 1.0 (full dataset)</li> <li>extraction1_pos_posnegtrail_conf09.txt - ds conf 0.9 (partial dataset)</li> </ol> </li> <li>The physio test set is a dataset comprising 153 PICO annotated randomized controlled trial abstracts from Physiotherapy and Rehabilitation. This dataset was used as an additional benchmark to evaluate the generalization power of the weakly annotated dataset and NER model for this sub-domain.</li> </ol> <p> </p> <p><strong>Utility</strong></p> <p>The dataset could be used as an input for training 'Intervention' named-entity recognition (NER) models.</p> <p> </p> <p><strong>Availability</strong></p> <p>This directory includes extraction1_pos_posnegtrail_conf09.txt - This text data file contains all the weak annotations (source intervention terms mapped onto target sentences) from clinicaltrials.org (CTO) with a confidence score of 0.9 and above.</p> <p>The directory also includes ‘physio_sent_annot2POS_posnegtrail.txt’ – This data file contains manually annotated (Intervention entity) data from the physiotherapy and rehabilitation domain. It follows a roughly similar structure as described in the ‘Description for long targets’ section. (‘Participant’ and ‘Outcome’ annotations are removed from this file)</p>
Maternal fetal ultrasound planes from low-resource imaging settings in five African countries
<p>This resource is a dataset of routinely acquired maternal-fetal screening ultrasound images collected in five centers of five countries in Africa (Malawi, Egypt, Uganda, Ghana and Algeria) that is associated to the journal article Sendra-Bacells et al. "Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries", <em>Scientific Reports</em>. The images correspond to the four most common fetal planes: abdomen, brain, femur and thorax. A CSV file is provided where image filenames are associated to plane types and patient number as well as the partitioning in training and testing splits as used in the associated publication.</p>
Implementation and adherence of routine pertussis vaccination (DTP) in a low-resource urban birth cohort
<p><strong>Introduction</strong>: Reliable information on rates of up-to-date coverage and timely administration of routine childhood immunizations is critical for guiding public health efforts worldwide, yet prospective observation of vaccination programs within individual communities is rare. Here we provide a longitudinal analysis of the directly-observed administration of a 3-dose primary vaccination series to infants in a low-resource community in Lusaka, Zambia.</p> <p><strong>Methods</strong>: Throughout 2015, we recruited a longitudinal birth cohort of mother/infant pairs (initial enrollment, 1,981 pairs; attending, 1,497 pairs) from the peri-urban informal settlement of Chawama compound, located in Lusaka, Zambia. We prospectively monitored the administration of scheduled Diphtheria-Tetanus-Pertussis (DTP) vaccinations across the first 14-18 weeks of life. We analyzed study attendance and vaccine coverage, both overall and stratified by age group. We employed Kaplan-Meier analyses to estimate delays in age-appropriate administration of vaccine doses. We also assessed schedule timing violations, including early and compressed dose administration.</p> <p><strong>Results</strong>: At study completion, first dose (DTP1) rates were high (92.9% of attending), whereas third dose completion (DTP3) rates were far lower (61.9%). Missed vaccinations and study dropout both contributed to the low DTP3 completion rates. DTP1 was administered very late (at or after 10 weeks) to 61 infants (4.1%). DPT1 was administered too early to 64 infants (4.3%), and 77 (5.1%) received consecutive doses below the minimum recommended spacing of 28 days.</p> <p><strong>Conclusions</strong>: We observe substantial individual variation in the timing of early childhood DTP doses, though following this birth cohort proved challenging. Our results indicate that timely administration of both DTP1 and DPT3 remains a challenge in this community. These directly-observed, individual-based results provide an important counterpoint to more course-grained, survey-based national and province estimates of up-to-date vaccine coverage. This study also highlights the challenges of vaccine hesitancy and sub-optimal utilization of (no-cost) healthcare services in a low-resource urban setting.</p>
Human review for post-training improvement of low-resource language performance in large language models
<p>Large language models (LLMs) have significantly improved natural language processing, holding the potential to support health workers and their clients directly. Unfortunately, there is a substantial and variable drop in performance for low-resource languages. Here we present results from an exploratory case study in Malawi, aiming to enhance the performance of LLMs in Chichewa through innovative prompt engineering techniques. By focusing on practical evaluations over traditional metrics, we assess the subjective utility of LLM outputs, prioritizing end-user satisfaction. Our findings suggest that tailored prompt engineering may improve LLM utility in underserved linguistic contexts, offering a promising avenue to bridge the language inclusivity gap in digital health interventions.</p>
Assessment of a Syringe Pump to Pre-eclamptic Women in a Low-resource Hospital
ClinicalTrials.gov study NCT02296931. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Human Versus Analogue Insulin for Youth With Type 1 Diabetes in Low-Resource Settings
ClinicalTrials.gov study NCT05614089. IPD Sharing: YES. Countries: 2. Publications: 1.
Summer Harvest Adventure: A Garden-based Obesity Prevention Program for Children Residing in Low-resource Communities
ClinicalTrials.gov study NCT05367674. IPD Sharing: NO. Countries: 1. Publications: 1.
Building and Sustaining Interventions for Children: Task-sharing Mental Health Care in Low-resource Settings
ClinicalTrials.gov study NCT03243396. IPD Sharing: NO. Countries: 1. Publications: 76.
Novel Methods for Implementing Measurement-Based Care for Youth in Low-resource Environments
ClinicalTrials.gov study NCT05644756. IPD Sharing: NO. Countries: 1. Publications: 2.
Building Mobile HIV Prevention and Mental Health Support in Low-resource Settings
ClinicalTrials.gov study NCT03912753. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Human review for post-training improvement of low-resource language performance in large language models
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Data from: Development and proof of concept evaluation for a low-resource compatible Chikungunya virus diagnostic
Open the record for dataset details and reuse information.
Implementation and adherence of routine pertussis vaccination (DTP) in a low-resource urban birth cohort
Open the record for dataset details and reuse information.
[Replication Package] Enhancing Code Generation for Low-Resource Languages: No Silver Bullet
<p>This repository contains scripts and results related to the work <em>"Enhancing Code Generation for Low-Resource Languages: No Silver Bullet".<br><br></em><strong>Link to the GitHub repository: <a href="https://github.com/Devy99/low-resource-study">https://github.com/Devy99/low-resource-study</a></strong><em><br></em></p>
Adapting and Evaluating a Brief Advice Tobacco Intervention in High-Reach, Low-Resource Settings in India
ClinicalTrials.gov study NCT05234983. IPD Sharing: NO. Countries: 1. Publications: 3.
Identification and Characterization of Diabetes in Low-resource Populations
ClinicalTrials.gov study NCT05487079. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Culturally Adapted Psychoeducation for Bipolar Disorder in a Low-resource Setting: A Randomized Controlled Trial
ClinicalTrials.gov study NCT05223959. IPD Sharing: Not stated. Countries: 1. Publications: 1.
mHealth to Screen for Neonatal Jaundice in Low-resource Mexican Settings: a Feasibility Study
ClinicalTrials.gov study NCT06073444. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Integrating Suicide Prevention Packages Into Task-shifted Mental Health Interventions in Low-resourced Contexts
ClinicalTrials.gov study NCT06094959. IPD Sharing: NO. Countries: 1. Publications: 1.
Behavioral Telehealth in Low-resource Primary Care Settings for Anxiety and Depression in Youth
ClinicalTrials.gov study NCT06273982. IPD Sharing: YES. Countries: 1. Publications: 0.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.