Image of PRAKIRAAN NILAI DENYUT JANTUNG PADA SERIES DATA PASIEN UNIT PERAWATAN INTENSIF MENGGUNAKAN TIME LONG SHORT TERM MEMORY

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PRAKIRAAN NILAI DENYUT JANTUNG PADA SERIES DATA PASIEN UNIT PERAWATAN INTENSIF MENGGUNAKAN TIME LONG SHORT TERM MEMORY

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Vital sign monitoring is the most common assessment in medicine. Vital signs show how the patient's status is. Proper and accurate monitoring of vital signs is very important to ensure the progress and deterioration of the patient's health condition in the hospital. The use of vital signs as an indication of an event has long been applied in th e medical industry. However, much research is still being done to improve clinical performance. The data in this study used the ICU patient's vital sign dataset in the form of an irregular time series, where the ICU patient's vital sign dataset was obtaine d from the MIMICIII (Medical Information Mart for Intensive Care) database. The data will be processed by making the data in the form of a window with one value from a predetermined forecast range. This study uses three methods of Deep Learning, namely Lo Short Term Memory (LSTM), Bidirectional LongngShort Term Memory (BiLSTM) and Gated Reccurent Unit (GRU). Of the three methods, each of each method produces 12 models so that the total model obtained is 36 models. From the 36 models, the GRU method produc es the smallest RMSE and MAE values, which are 0.01630 and 0.01130, respectively, which are obtained in batch size 64 with epochs of 100.

Availability
Inventory Code Barcode Call Number Location Status
2207003885T79616T796162022Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T796162022
Publisher
Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer.,
Collation
xiv, 45 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
004.07
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Komputer
Pengelolahan Data
Specific Detail Info
-
Statement of Responsibility
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No other version available

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