Predict Risk Of Glaucoma Based On Series Of Patient's Vital Health Data

Dandiansyah, Thoriq Sulthon (2022) Predict Risk Of Glaucoma Based On Series Of Patient's Vital Health Data. Undergraduate thesis, Politeknik Negeri Jember.

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Abstract

Glaucoma, which causes irreversible vision loss, is the world's second largest cause of blindness after cataracts. Glaucoma is a tough condition to anticipate, and if discovered too late, it can result in blindness. Glaucoma is caused by increased pressure inside the eye (intraocular pressure), which can be caused by either excessive production of eye fluid or obstruction of the fluid's drainage channel. Predictions are generated using vital health data in patients designed using android studio with the output of the glaucoma predict app to prevent and overcome the increase in glaucoma sufferers as soon as possible, the system will analyze and display the results of predicting the possibility of glaucoma in the patient or user, whether the probability is small, medium, high, or very high.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDK
Thesis advisorAgustianto, Khafidurrohman0011129102
Uncontrolled Keywords: Prediction System, Expert system, Health System
Subjects: 260 - Rumpun Ilmu Kedokteran > 270 - Ilmu Kedokteran Spesialis > 287 - Penyakit Mata
260 - Rumpun Ilmu Kedokteran > 270 - Ilmu Kedokteran Spesialis > 291 - Penyakit Syaraf
410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 457 - Teknik Komputer
410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika
410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 461 - Sistem Informasi
410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 462 - Teknologi Informasi
Divisions: Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir
Depositing User: Thoriq Sulthon Dandiansyah
Date Deposited: 15 Sep 2022 01:58
Last Modified: 15 Sep 2022 05:55
URI: https://sipora.polije.ac.id/id/eprint/16839

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