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Collecting the data for, and developing a predictive model to identify lapse and relapse to support people who want to change their relationship with alcohol

Collecting the data for, and developing a predictive model to identify lapse and relapse to support people who want to change their relationship with alcohol
收集数据并开发预测模型来识别戒酒和复发,以支持那些想要改变与酒精关系的人
批准号:
10045638
负责人:
金额:
$6.14万
依托单位:
依托单位国家:
英国
项目类别:
Grant for R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
Mind Health AI is a digital therapeutics start up, making cutting-edge science and technology accessible to both consumers and clinicians. We support individuals who want to change harmful behaviours and self--manage chronic health conditions, via predictive models generated by machine learning.We have a diverse, UK-based founding team with expertise in clinical, commercial and technical domains. Our combined professional experience provides a wealth of relationships, with realistic routes to market and institutional investment, and real potential for scaling.Our first product is alma, a mobile application which helps users beat cravings and quit drinking. Alcohol consumption is linked as a causal factor to more than 60 diseases, but although a range of interventions has been available for decades, the parlous state of care for alcohol dependency means that 90% of people who go through rehab relapse within five years. On this specific project, we seek to recruit users, building a dataset large enough to inform algorithms that can predict negative health outcomes, including cravings, lapse, full relapse and service disengagement.We are working with academics at the global forefront of their fields in behavioural science, predictive models and digital therapeutics. The value proposition of our product has been validated by stakeholder groups, including people seeking to quit drinking, as well as clinicians and professionals in related industries such as insurance and pharmaceuticals.
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: