A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study - Scorecard - MDSpire

A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study

  • By

  • Arifa Zahir

  • Jaehong Yu

  • Jin-Sun Jun

  • Kiwon Park

  • Ryul Kim

  • Hyundoo Jeong

  • June 11, 2026

  • 0 min

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Clinical Scorecard: Utilizing Machine Learning for Voice-Driven Screening of Parkinson's Disease Through Multiview Spectrograms and Speech Recognition Features: A Diagnostic Investigation

At a Glance

CategoryDetail
Condition
Key MechanismsVoice-based assessment utilizing multiview spectrograms and recognition-aware features.
Target Population
Care Setting

Key Highlights

    Guideline-Based Recommendations

    Diagnosis

      Management

        Monitoring & Follow-up

          Risks

            Patient & Prescribing Data

            Clinical Best Practices

              Related Resources & Content

              Original Source(s)

              A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study

              • by Arifa Zahir, Jaehong Yu, Jin-Sun Jun, Kiwon Park, Ryul Kim, Hyundoo Jeong

              • June 11, 2026

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