Astri Handayani
The increasing number of sufferers accompanied by a limited and uneven distribution of doctors in Indonesia requires medical technology interventions to improve their efficiency and effectiveness of health services, while at the same time maintaining diagnostic objectivity and accuracy. The purpose of this activity is the development of machine learning algorithm to facilitate diagnostics with computer assistance. This methodology uses automatic quantification of global and local retinal vessel tortuosity from photo fundus. The results of this electrocardiogram training and the development of the verification system function well protoipe systems that serve ECG simulator functions, ECG training kits, ECG signal analysis modules, real-time imaging of the spacing distribution of magnetic fields. The results of this training in the form of developing several pilot systems to facilitate the development of assisted computer diagnosis systems based on automatic analysis in biosignals and medical drawings. Keywords: Alogarithmism development, diagnosis system based on automatic analysis in biosignals and medical drawings.
Implementation of social care activities in the form of education / counseling / mentoring
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