Research map: Machine Learning for Prediction of High‐Risk Infections in Patients With Cancer

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Papers in this map

  1. The Multinational Association for Supportive Care in Cancer Risk Index: A Multinational Scoring System for Identifying Low-Risk Febrile Neutropenic Cancer Patients · Jean A. Klastersky · 2000 · 1181 citations · Cited by this paper
  2. Association of the Affordable Care Act With Receipt of Guideline‐Concordant Adjuvant Chemotherapy for Colon and Non‐Small Cell Lung Cancer · 2026 · Related
  3. A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities · Omar Ali · 2023 · 564 citations · Cited by this paper
  4. Predicting Poor Efficacy of Cabozantinib in Advanced Renal Cell Carcinoma by Exploratory Metabolic Pathway Analysis and In Vitro Verification · 2026 · Related
  5. Risk assessment in cancer patients with fever and neutropenia: a prospective, two-center validation of a prediction rule. · James Austin Talcott · 1992 · 546 citations · Cited by this paper
  6. Comparative Cardiovascular Safety and Exploratory Bleeding Outcomes of Ibrutinib, Acalabrutinib, and Zanubrutinib in Mantle Cell Lymphoma: A Propensity Score‐Matched Real‐World Analysis · 2026 · Related
  7. Outpatient Management of Fever and Neutropenia in Adults Treated for Malignancy: American Society of Clinical Oncology and Infectious Diseases Society of America Clinical Practice Guideline Update · Randy A. Taplitz · 2018 · 433 citations · Cited by this paper
  8. The Impact of the G8 Score on Survival Outcomes in Patients With Head and Neck Cancer Undergoing Concurrent Radiotherapy With Cetuximab due to Contraindications With Cisplatin · 2026 · Related
  9. Analysis by Categorizing or Dichotomizing Continuous Variables Is Inadvisable: An Example from the Natural History of Unruptured Aneurysms · Olivier N. Naggara · 2011 · 334 citations · Cited by this paper
  10. The Zuo Jin Wan Formula Reverses Cisplatin Resistance in Gastric Cancer by Inhibiting the Mitochondrial Translocation of Dynamin‐Related Protein 1 and Its Mediated Mitochondrial Fission and Mitophagy · 2026 · Related
  11. Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review · Masooma Hassan · 2024 · 321 citations · Cited by this paper
  12. Notch3/4 Knockdown Inhibits Colon Adenocarcinoma Progression by Suppressing Tumor Cell Activity and Orchestrating VEGFA ‐Dependent Tumor Immune Microenvironment · 2026 · Related
  13. Danish Colorectal Cancer Group Database · Peter Ingeholm · 2016 · 180 citations · Cited by this paper
  14. Overcoming Radiation Resistance: Ferroptosis Induction to Sensitize Solid Tumors to Radiation Therapy · 2026 · Related
  15. The Danish Lung Cancer Registry · Erik Jakobsen · 2016 · 86 citations · Cited by this paper
  16. Inhibition of the Metalloproteinase ADAMTS5 Suppresses Colorectal Cancer Metastasis via the PEDF /Wnt/β‐Catenin Pathway · 2026 · Related
  17. Prognostic evaluation of febrile neutropenia in apparently stable adult cancer patients · Alberto Carmona‐Bayonas · 2011 · 82 citations · Cited by this paper
  18. Watch and Wait Strategy for Locally Advanced Rectal Cancer: Update From Results of Recent Clinical Trials · 2026 · Related
  19. Danish National Lymphoma Registry · Bente Arboe · 2016 · 78 citations · Cited by this paper
  20. The Influence of Resource Constraints on Risk‐Related Conversations With Specialists Among a Community‐Based Sample of Women at High Risk for Breast Cancer · 2026 · Related
  21. Explainable artificial intelligence in emergency medicine: an overview · Yohei Okada · 2023 · 70 citations · Cited by this paper
  22. Infections in Hospitalized Cancer Patients · Amanda Delgado · 2021 · 60 citations · Cited by this paper
  23. The Danish National Multiple Myeloma Registry · Peter Gimsing · 2016 · 59 citations · Cited by this paper
  24. Positive predictive value of primary inpatient discharge diagnoses of infection among cancer patients in the Danish National Registry of Patients · Louise Holland-Bill · 2014 · 58 citations · Cited by this paper
  25. The Danish National Chronic Lymphocytic Leukemia Registry · Caspar da Cunha‐Bang · 2016 · 56 citations · Cited by this paper
  26. Mortality and admission to intensive care units after febrile neutropenia in patients with cancer · Theis Aagaard · 2020 · 44 citations · Cited by this paper
  27. Simplicity at the cost of predictive accuracy in diffuse large B‐cell lymphoma: a critical assessment of the R‐ IPI , IPI , and NCCN ‐ IPI · Jorne Lionel Biccler · 2017 · 42 citations · Cited by this paper
  28. Construction of a risk prediction model for lung infection after chemotherapy in lung cancer patients based on the machine learning algorithm · Tao Sun · 2024 · 41 citations · Cited by this paper
  29. Acute bacterial infection negatively impacts cancer specific survival of colorectal cancer patients · Regina Attiê · 2014 · 37 citations · Cited by this paper
  30. Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models · Xinsong Du · 2020 · 35 citations · Cited by this paper
  31. Outpatient treatment for people with cancer who develop a low-risk febrile neutropaenic event · Rodolfo Rivas-Ruíz · 2019 · 32 citations · Cited by this paper
  32. The association between infections and chemotherapy interruptions among cancer patients: Prospective cohort study · Ahmed Taha · 2014 · 32 citations · Cited by this paper
  33. Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer · Ravi Bharat Parikh · 2022 · 20 citations · Cited by this paper
  34. Dose delay, dose reduction, and early treatment discontinuation in Black and White women receiving chemotherapy for nonmetastatic breast cancer · Moriah K. Forster · 2024 · 10 citations · Cited by this paper
  35. Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care · Regina Padmanabhan · 2022 · 7 citations · Cited by this paper
  36. Long-term trend of future Cancer onset: A model-based prediction of Cancer incidence and onset age by region and gender. · Chen Xie · 2023 · 6 citations · Cited by this paper
  37. Two-Stage Approaches to Accounting for Patient Heterogeneity in Machine Learning Risk Prediction Models in Oncology · Eun Jeong Oh · 2021 · 4 citations · Cited by this paper
  38. Prediction of bacterial and fungal bloodstream infections using machine learning in patients undergoing chemotherapy · Adhemar Villani Junior · 2025 · 3 citations · Cited by this paper
  39. Machine Learning for Prediction of High‐Risk Hospitalizations in Lymphoma Patients: A Danish Population‐Based Study · Alexander Djupnes Fuglkjær · 2025 · 2 citations · Cited by this paper

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