Prediction of body mass index status from voice signals based on machine learning for automated medical applications
Conclusion: Our results could support the development of BMI diagnosis tools for real-time monitoring; such tools are considered helpful in improving automated BMI status diagnosis in remote healthcare or telemedicine and are expected to have applications in forensic and medical science.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Authors: Bum Ju Lee, Keun Ho Kim, Boncho Ku, Jun-Su Jang, Jong Yeol Kim Tags: Research Articles Source Type: research
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