Digital discrimination of patients with polyneuropathies and myopathies

Digital discrimination of patients with polyneuropathies and myopathies - PNP vs. Myopathies

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00034677

Enrollment

2000

Registered

2024-10-24

Start date

2024-11-01

Completion date

Unknown

Last updated

2025-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

G60 G61 G62 G63 G71 G72

Interventions

Group 1: In this study, we seek to explore the possibilities of machine learning in flagging potential patients with RD (rare diseases). We will utilize the UMG DIC electronic health records (EHR)/ICC

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: all patients with a known diagnosis (PNP or myopathy) aged > 18 years

Exclusion criteria

Exclusion criteria: all patients aged < 18 years

Design outcomes

Primary

Measure	Time frame
To find specific characteristics that allow a better differentiation between polyneuropathies and myopathies	—

Secondary

Measure	Time frame
1- Qualitative and quantitative analysis of basic data sets, procedures, laboratory parameters, and treatment courses of patients with polyneuropathies and myopathies 2 - Quality assurance and comparison of the data available at different locations. Comparable data elements will be mapped to harmonize data for the prospective application of machine learning algorithms	—

Countries

Germany

Contacts

Public ContactElisabeth Nyoungui

Institut für Medizinische Informatik Universitätsmedizin Göttingen

elisabeth.nyoungui@med.uni-goettingen.de+49 551 3961543

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026