Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 28 min ago
Peer-reviewedCC BYDiagnostics (Basel, Switzerland)

Development and External Validation of Machine Learning Models for Ionized Calcium Estimation in Hypoalbuminemia

4 affiliations
  1. 1Department of Medical Biochemistry, , Istanbul Training and Research Hospital, 34098 Istanbul, Türkiye; (T.S.); (B.B.I.)
  2. 2Department of Econometrics, Faculty of Economics and Administrative Sciences, , 35340 Izmir, Türkiye;
  3. 3Department of Medical Biochemistry, , Istanbul Prof. Dr. Cemil Taşçıoğlu City Hospital, 34384 Istanbul, Türkiye;
  4. 4Department of Medical Biochemistry, , Kanuni Sultan Suleyman Training and Research Hospital, 34303 Istanbul, Türkiye;

Related

  1. A machine learning model for predicting ischemic and bleeding risk after percutaneous coronary intervention: Development and external validation
    Hassa Iftikhar
    PLOS OnePeer-reviewedCC BY 4.0Full textStatisticsCardiovascular medicinePLOS
  2. A Parsimonious Machine Learning Model for Predicting Invasive Coronary Angiography Referral After Coronary Computed Tomography Angiography: Development and Multicentre External Validation
    Alec Chunta, Caitlyn Gilbert, Dina Labib +10
    Journal of clinical medicinePeer-reviewedCC BYFull textMedical imaging & radiologyEurope PMCCrossref
  3. Development and external validation of interpretable machine learning models for 7-, 14-, and 28-day mortality in sepsis-associated liver injury
    Hao Yao, Zhaopu Li, Jinxiao Lü +1
    Frontiers in medicinePeer-reviewedCC BYFull textEpidemiology & public healthEurope PMCPMC
  4. An interpretable machine learning model for predicting intensive care unit mortality risk in elderly patients with concomitant cardiogenic shock and sepsis: Development and external validation using two large critical care databases
    Han Chen, Yuming Wu, Pu Chen +3
    Digital HealthPeer-reviewedCC BYFull textEpidemiology & public healthDOAJ
  5. Explainable machine learning and multivariable logistic regression for identifying prevalent self-reported physician-diagnosed chronic lung disease in postmenopausal women: development and multi-cohort external validation
    Caizhong Du, Nana Xue, Liqin Dang +2
    Frontiers in Public HealthPeer-reviewedCC BY 4.0Epidemiology & public healthFrontiersCrossref
BibTeX
@article{deniz2026development,
  title = {{Development and External Validation of Machine Learning Models for Ionized Calcium Estimation in Hypoalbuminemia}},
  author = {Levent Deniz and Tugay Solar and Ipek Deveci Kocakoc and Berrin Bercik Inal and Okan Dikker and Cengiz Aydin},
  journal = {Diagnostics (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13703762},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Development and External Validation of Machine Learning Models for Ionized Calcium Estimation in Hypoalbuminemia
AU  - Levent Deniz
AU  - Tugay Solar
AU  - Ipek Deveci Kocakoc
AU  - Berrin Bercik Inal
AU  - Okan Dikker
AU  - Cengiz Aydin
PY  - 2026
DA  - 2026/10/01
JO  - Diagnostics (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13703762
SN  - 2075-4418
ER  -