✨ 6 results found - Searched 21704 records in 3ms.
Tesis
Performa Skor PSI dan CURB 65 dalam Memprediksi 30 Hari Kematian Pasien COVID-19 Geriatri
2023 | BY Nabella Qisthina Laksita Dewi - Arya Govinda Roosheroe - Kuntjoro Harimurti - Eric Daniel Tenda- Performance of Pneumonia Severity Index and CURB 65 in Predicting 30-day Mortality in Geriatric Patients with COVID- 19.
- Nomor Panggil T23402fk
Tesis
Modifikasi Skor TIMI Sebagai Model Prediksi Mortalitas 30 Hari Pasien STEMI Dewasa Muda
2023 | BY M. Tasrif Mansur - Muhammad Yamin - Lusiani - Murdani Abdullah- Modification of TIMI Score as a Predictive Model for 30-Day Mortality in Young Adult STEMI Patients.
- Nomor Panggil T23393fk
Tesis
Model Prediksi Mortalitas 30 Hari Pasien Usia Lanjut Di Ruang Rawat Akut Geriatri Menggunakan Domain Pendekatan Paripurna Pasien Geriatri (P3G)
2014 | BY Noto Dwimartutie - Siti Setiati - Edy Rizal Wahyudi - Kuntjoro Harimurti- Prediction Model Of 30-Day Mortality In Elderly Patients Admitted To Geriatric Acute Ward Using Comprehensive Geriatric Assessment (CGA) Domain.
- Nomor Panggil T14302fk
Tesis
Ketepatan P-POSSUM dalam Mempreiksi Mortalitas 30 Hari Pasien Pascabedah Kraniotomi Tumor Otak
2017 | BY Adhrie Sugiarto - Grace Widyarani - PRYAMBODHO- The Accuracy of P-POSSUM for Predicting 30-day Mortality After Craniotomy in Patients with Brain Tumor.
- Nomor Panggil T17528fk
Tesis
Validasi Skor ACEF sebagai Prediktor Mortalitas 30 Hari Pascabedah Pintas Koroner di RSUPN Dr Cipto Mangunkusumo
2016 | BY Arif Mansjoer - Aryan Yohanes - Ika Prasetya Wijaya- Validation of ACEF score as Predictor of 30-Day Mortality Following Coronary Artery Bypass Grafting Surgery in Cipto Mangunkusumo National General Hospital .
- Nomor Panggil T 16 464 FK
Tesis
Modifikasi Kuesioner Identification of Senior at Risk (ISAR) untuk Memprediksi Mortalitas 30 Hari Pasien Usia Lanjut yang Datang ke Instalasi Gawat Darurat
2016 | BY Aulia Rizka - Kuntjoro Harimurti - Ceva W Pitoyo - Sukamto Koesnoe- Modification of Identification of Senior at Risk (ISAR) to Predict 30-day Mortality of Elderly in Emergency Department .
- Nomor Panggil T 16 422 FK