Health

Evidence-Based Medicine (EBM) aims to apply the best available evidence gained from scientific methods to clinical decision making. A generally accepted criterion to formulate evidence is to use the PICO framework, where PICO stands for Problem/Population, Intervention, Comparison, and Outcome. Automatic extraction of PICO-related sentences from medical literature is crucial to the success of many EBM applications. In this work, we present our Aceso system, which automatically generates PICO-based evidence summaries from medical literature.

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  • Machine Learning
  • Last Updated On: 
    Sun, 03/29/2020 - 04:54

    The dataset consists of two populations of fetuses: 160 healthy and 102 Late Intra Uterine Growth Restricted (IUGR). Late IUGR is an adverse pathological condition encompassing chronic hypoxia as a consequence of placental insufficiency, resulting in an abnormal rate of fetal growth. In standard clinical practice, Late IUGR diagnosis can only be suspected in the third trimester and ultimately confirmed at birth. This data collection comprises of a set of 31 Fetal Heart Rate (FHR) indices computed at different time scales and domains accompanied by the clinical diagnosis.

    63 views
  • Machine Learning
  • Last Updated On: 
    Tue, 03/24/2020 - 21:46

    A Hybrid Prediction Model for Atherosclerosis 

    39 views
  • Health
  • Last Updated On: 
    Fri, 03/13/2020 - 00:28

    Pressing demand of workload along with social media interaction leads to diminished alertness during work hours. Researchers attempted to measure alertness level from various cues like EEG, EOG, Video-based eye movement analysis, etc. Among these, video-based eyelid and iris motion tracking gained much attention in recent years. However, most of these implementations are tested on video data of subjects without spectacles. These videos do not pose a challenge for eye detection and tracking.

    74 views
  • Computer Vision
  • Last Updated On: 
    Thu, 03/19/2020 - 02:40

    The dataset comprises raw data to validate methods for reliable data collection. We proposed the data collection methods in a path to assess digital healthcare apps. To validate the methods, we conducted experiments in Amazon Mechanical Turk (MTurk), and then we showed that the methods have a significant meaning based on statistical tests.

    41 views
  • Health
  • Last Updated On: 
    Wed, 03/11/2020 - 06:02

    The CLAS (Cognitive Load, Affect and Stress) dataset was conceived as a freelyaccessible repository which is purposely developed to support research on the automated assessment of certain states of mind and the emotional condition of a person.

    289 views
  • Artificial Intelligence
  • Last Updated On: 
    Wed, 02/05/2020 - 10:05

    When sleep matters for the promotion of heart health, multidisciplinary research is essential. The present dataset is fetched from the National Health And Nutrition Survey (NHANES), with the main consumption of carbohydrates, bedtime and waking hours, and High sensitivity C- Reactive Protein (HSCRP) translating cardiovascular risk. As the outcome variable, HSCRP records from 5,665 participants are available in this dataset for analysis purpose.

    128 views
  • Health
  • Last Updated On: 
    Thu, 01/30/2020 - 00:04

    ADAM is organized as a half day Challenge, a Satellite Event of the ISBI 2020 conference in Iowa City, Iowa, USA.

    82 views
  • Computer Vision
  • Last Updated On: 
    Mon, 01/20/2020 - 07:52

    New concept high quality high performance hearing aid

     

    A typical hearing aid can't be distinguished by mixing sounds in noisy places or in a multi-person voice environment.

    This is due to the limited performance of the amplifier inside the hearing aid. This may be due to the lack of linearity of the amplifier, or because of transistor-specific characteristics.

    By applying high-quality amplifier technology to these hearing aids, several sounds can be separated and listened well.

    55 views
  • Health
  • Last Updated On: 
    Thu, 02/13/2020 - 02:13

    These three datasets cover Western, Chinese and Japanese food used for food instance counting and segmentation evaluation.

    64 views
  • Computer Vision
  • Last Updated On: 
    Mon, 01/06/2020 - 10:36

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