design and implementation of credit evaluation system for healthy aged service

We introduce Collie，an online platform to assess the quality of nursing home service powered by machine learning, which enables user to choose a serial of selected algorithms for different demand. Previous research has proposed the point on how to measure the quality of nursing home service. But traditional service relies on manual investigation which present serval problems like the process of rating quality is complex and insufficient. For the above problems, Collie focus on supporting users to assess the quality of nursing home service. Within the service assessment, we develop a serial of algorithms to deal with different dataset. But more importantly, different database has different features, a group of algorithms is not enough to fulfill users demand. Therefore, we propose a system which enables users choose highly competitive algorithms to solve their problem. To support the core idea, we provide a high performance infrastructure features asynchronous I/O, fast and error tolerant data pipeline. Through a series of experiments, we show that our system outperforms the baseline significantly in terms of system performance, algorithm accuracy. Promising result has been retrieved from our algorithm which indices MAE of 0.5 at sample dataset.

</div>

Publication

Credit Evaluation System

Pension

  <img class="portrait mr-3" src="https://c422.github.io//authors/lisen/avatar_hu44874f92b0e177067b372d31795337d9_42966_250x250_fill_q90_lanczos_center.jpg" itemprop="image" alt="Avatar"/>


<div class="media-body">
  <h5 class="card-title" itemprop="name"><a href="/authors/lisen/">Sen Li</a></h5>
  
  <p class="card-text" itemprop="description">Code simplifies Life !</p>
  <ul class="network-icon" aria-hidden="true">
    
  </ul>
</div>

  <div class="article-widget">
    <div class="hr-light"></div>
    <h3>Related</h3>
    <ul>
      
      <li><a href="/accomplishment/lisen-pro-pension/">[Project] Research on Supporting Theory and Innovation Model of Cross-border Service for Healthy Elders</a></li>
      
      <li><a href="/accomplishment/zhaoyiqin-pub-deepsp/">[Publication] Deep Spectrum Feature Representations for Speech Emotion Recognition</a></li>
      
      <li><a href="/accomplishment/zhaoyiqin-pub-exploringst/">[Publication] Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition</a></li>
      
    </ul>
  </div>