This paper is in the following e-collection/theme issue:

Artificial Intelligence (1186) Machine Learning (1370) Pregnancy Information, Education and Lifestyle Interventions (281)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28856, first published .
Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study

Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study

Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study

Authors of this article:

Zahid Ullah1 Author Orcid Image ;   Farrukh Saleem1 Author Orcid Image ;   Mona Jamjoom2 Author Orcid Image ;   Bahjat Fakieh1 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

Journals

  1. Alsayed A, Rahim M, AlBidewi I, Hussain M, Jabeen S, Alromema N, Hussain S, Jibril M. Selection of the Right Undergraduate Major by Students Using Supervised Learning Techniques. Applied Sciences 2021;11(22):10639 View
  2. Jamjoom M, Ahmed N, Abbas S, Hodhod R, El-Sheikh M, Ullah Z. A Novel Approach for Contextual Clustering and Retrieval of Behavior Trees to Enrich the Behavior of Social Intelligent Agents. Electronics 2023;12(4):970 View
  3. Zare S, Meidani Z, Ouhadian M, Akbari H, Zand F, Fakharian E, Sharifian R. Identification of data elements for blood gas analysis dataset: a base for developing registries and artificial intelligence-based systems. BMC Health Services Research 2022;22(1) View
  4. Ullah Z, Jamjoom M. A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques. PeerJ Computer Science 2023;9:e1234 View
  5. Ullah Z, Jamjoom M, Bashir A. Early Detection and Diagnosis of Chronic Kidney Disease Based on Selected Predominant Features. Journal of Healthcare Engineering 2023;2023:1 View
  6. Hussain M, Cifci M, Sehar T, Nabi S, Cheikhrouhou O, Maqsood H, Ibrahim M, Mohammad F. Machine learning based efficient prediction of positive cases of waterborne diseases. BMC Medical Informatics and Decision Making 2023;23(1) View
  7. Ullah Z, Saleem F, Jamjoom M, Fakieh B, Kateb F, Ali A, Shah B, Javed A. Detecting High-Risk Factors and Early Diagnosis of Diabetes Using Machine Learning Methods. Computational Intelligence and Neuroscience 2022;2022:1 View
  8. Ullah Z, Jamjoom M. An intelligent approach for Arabic handwritten letter recognition using convolutional neural network. PeerJ Computer Science 2022;8:e995 View
  9. Baltzer A, Casadonte R, Korff A, Baltzer L, Kriegsmann K, Kriegsmann M, Kriegsmann J. Biological injection therapy with leukocyte-poor platelet-rich plasma induces cellular alterations, enhancement of lubricin, and inflammatory downregulation in vivo in human knees: A controlled, prospective human clinical trial based on mass spectrometry imaging analysis. Frontiers in Surgery 2023;10 View
  10. S. H, V. M. An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction. Artificial Intelligence in Medicine 2023;143:102621 View
  11. Shearah Z, Ullah Z, Fakieh B. Intelligent Framework for Early Detection of Severe Pediatric Diseases from Mild Symptoms. Diagnostics 2023;13(20):3204 View
  12. Hu J, Yang X, Ren J, Zhong S, Fan Q, Li W. Identification and verification of characteristic differentially expressed ferroptosis-related genes in osteosarcoma using bioinformatics analysis. Toxicology Mechanisms and Methods 2023;33(9):781 View
  13. Zhang Z, Huang Y, Liu G, Yu W, Xie Q, Chen Z, Huang G, Wei J, Zhang H, Chen D, Du H. Development of machine learning-based predictors for early diagnosis of hepatocellular carcinoma. Scientific Reports 2024;14(1) View
  14. Coutinho-Almeida J, Cardoso A, Cruz-Correia R, Pereira-Rodrigues P. Fast Healthcare Interoperability Resources–Based Support System for Predicting Delivery Type: Model Development and Evaluation Study. JMIR Formative Research 2024;8:e54109 View