Hasil Pencarian - "RSCM"

Perbaiki Hasil
  1. 401
  2. 402
  3. 403

    Comparison of Postpartum Urinary Retention Healing between Groups with Methods of Residual Urine Measurement Four Hours versus Six Hours Post-Delivery oleh Fernandi Moegni, Ummu Hani

    Diterbitkan 2019-01-01
    "…Patient then treated according to RSCM guideline, and the time of recovery was documented. …"
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  4. 404

    Penggunaan Acute Illness Observation Scale (AIOS) sebagai Prediktor Infeksi Serius pada Anak 3-36 Bulan dengan Demam oleh A.A.A. Putu Indah Pratiwi, Dimple V. Nagrani, Yusuf Balfast, Alan R. Tumbelaka, Waldi Nurhamzah

    Diterbitkan 2016-11-01
    "…Uji diagnostik dilakukan di Departemen Ilmu Kesehatan Anak FKUI/RSCM, RSUP Fatmawati, dan RSAB Harapan Kita, pada bulan Maret sampai dengan Mei 2010. …"
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  5. 405

    Proporsi dan Faktor-Faktor yang Berhubungan dengan Kejadian Hipotensi Postprandial pada Usia Lanjut oleh Rachmat Hamonangan, Idrus Alwi, Edy Rizal Wahyudi, Siti Setiati

    Diterbitkan 2014-07-01
    "…Penelitian studi potong-lintang dilakukan pada subjek usia lanjut di RSCM. Dilakukan pengisian kuesioner dan pengukuran tekanan darah sebelum makan dan setiap 15 menit sampai 2 jam setelah makan. …"
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  6. 406

    Pregnancy Profile and Infant Outcomes Among HIV Infected Women Who Delivered in Cipto Mangunkusumo Hospital oleh Junita Indarti, Evy Yunihastuti, Nia Kurniati, Bella Aprilia, Danang T Pamungkas, Ariel T Chiprion, Mega A Ginting, Saiful Rizal, Citra Dewi, Lieke Handayani

    Diterbitkan 2020-04-01
    "…The subjects was mostly multigravida (77.5%), first visit to RSCM in third trimester (98.6%), with history of antenatal care >4 times (48.6%), singleton fetus (99.3%), and delivered by C-section (84.1%). …"
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  7. 407
  8. 408

    The Affect of Obstretic and Maternal Nutrition History to Criminal Behaviour in Children : A Case- Control Study oleh Aria Wibawa, Iqra Anugerah

    Diterbitkan 2020-07-01
    "…Kelompok kasus penelitian ini merupakan ibu dari anak pelaku pidana di Lembaga Pembinaan Khusus Anak Tangerang, sementara kelompok kontrol merupakan ibu dari anak dengan usia remaja bukan pelaku pidana yang berkunjung ke  Poliklinik Obstetri dan Ginekologi RSCM menggunakan metode consecutive sampling pada Januari 2016 hingga Maret 2019. …"
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  9. 409

    Hubungan Antibodi Anti Trombosit terhadap Respon Transfusi Trombosit pada Pasien Hemato- Onkologi yang Mendapatkan Multitransfusi Trombosit di RS Dr. Cipto Mangunkusomo oleh Anna Mira Lubis, Aru W Sudoyo, Shufrie Effendy, TB Djumhana, Kuntjoro Harimurti

    Diterbitkan 2015-12-01
    "…Studi observasional dilakukan pada pasien hemato-onkologi dewasa yang mendapatkan multitransfusi trombosit di Rumah Sakit dr Cipto Mangunkusumo (RSCM) Jakarta. Pengamatan dilakukan pada respon transfusi dengan mengukur corrected count increment (CCI) 1 jam post transfusi dengan batas 7.500 m2/mL. …"
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  10. 410
  11. 411

    Hipoalbuminemia pada Pasien Usia Lanjut dengan Pneumonia Komunitas: Prevalensi dan Pengaruhnya Terhadap Kesintasan oleh Wawan Kurniawan, C Martin Rumende, Kuntjoro Harimurti

    Diterbitkan 2014-10-01
    "…Penelitian dengan disain kohort retrospektif dilakukan terhadap 142 pasien usia lanjut dengan pneumonia komunitas yang dirawat di RSCM pada kurun waktu Januari-Oktober 2010. Data klinis dan laboratoris diambil dalam 24 jam pertama kedatangan (data sekunder) dan kemudian diikuti dalam 30 hari untuk melihat status mortalitasnya. …"
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  12. 412
  13. 413

    Pilot Study on the Physical, Chemical, and Biological Determinants of Indoor Air Quality in University Classrooms oleh Edelmers Edgars, Kauce Rūta, Konopecka Vita, Veignere Elizabete, Sprūdža Klinta Luīze, Neļķe Valters, Citskovska Elizabete, Šipilova Viktorija, Čikuts Matīss, Skrebele Elizabete, Skadiņš Ingus, Martinsone Žanna, Borodinecs Anatolijs

    Diterbitkan 2023-01-01
    "…Employing a comprehensive array of instrumentation – such as SAS SUPER ISO 100 for microbiological sampling, Aranet4 for monitoring relative humidity, temperature, and CO2 concentration, and PCE-PCO 1 and PCE-RSCM 16 for particulate matter (PM2.5 and PM10) quantification—the study spanned a duration of three days in November 2022 and covered classrooms of varying dimensions, both reliant on natural ventilation. …"
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  14. 414
  15. 415

    Unidentified angular recurrent ulceration responsive to antiviral therapy oleh Rahmi Amtha, Siti Aliyah Pradono

    Diterbitkan 2013-03-01
    "…</em><span style="font-family: Tribune-Bold; font-size: 10pt; color: #231f20; font-style: normal; font-variant: normal;"><strong>Case</strong><span style="font-family: Tribune-Italic; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;"><em>: An 18-years old male came to Oral Medicine clinic in RSCM who complained of </em><span style="font-family: Tribune-Italic; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;"><em>angular recurrent ulcers since 3 years ago which developed on skin and bleed easily on mouth opening. …"
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  16. 416

    Remarks on smallness of chemotactic effect for asymptotic stability in a two-species chemotaxis system oleh Masaaki Mizukami

    Diterbitkan 2016-08-01
    "…<p> This paper deals with the two-species chemotaxis system <br /> <img style="height:50px;" src="data:image/png;base64,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" alt="" /> </p> where Ω is a bounded domain in R<sup><em>N</em></sup> with smooth boundary ∂Ω, <em>N</em>∈N; <em>h</em>,<em>X</em><sub><em>i</em></sub> are functions satisfying some conditions. …"
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