Research graph
References from Machine learning-based early prediction of severe pneumonia risk in hospitalized leukemia patients: a dual-center retrospective cohort study. Local targets link to admitted publications; unresolved targets remain external evidence.
The 5th edition of the World Health Organization classification of haematolymphoid tumours: Lymphoid Neoplasms
10.1038/s41375-022-01620-2 · 2022 · External reference
Immune response dysfunction in chronic lymphocytic leukemia: dissecting molecular mechanisms and microenvironmental conditions
10.3390/ijms21051825 · 2020 · External reference
Immunosuppression in patients who die of sepsis and multiple organ failure
10.1001/jama.2011.1829 · 2011 · External reference
Sepsis and septic shock
10.1016/s0140-6736(18)30696-2 · 2018 · External reference
Reporting of artificial intelligence prediction models
10.1016/s0140-6736(19)30037-6 · 2019 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Infections during AML induction chemotherapy in a contemporary cohort without fluoroquinolone prophylaxis
10.1007/s15010-025-02651-4 · 2026 · External reference
A prediction rule to identify low-risk patients with community-acquired pneumonia
10.1056/nejm199701233360402 · 1997 · External reference
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
10.1007/s00134-019-05872-y · 2020 · External reference
iwCLL guidelines for diagnosis, indications for treatment, response assessment, and supportive management of CLL
10.1182/blood-2017-09-806398 · 2018 · External reference
Biomarkers of bleeding and venous thromboembolism in patients with acute leukemia
10.1016/j.jtha.2024.03.020 · 2024 · External reference
European LeukemiaNet 2020 recommendations for treating chronic myeloid leukemia
10.1038/s41375-020-0776-2 · 2020 · External reference
Diagnosis and management of sepsis-induced coagulopathy and disseminated intravascular coagulation
10.1111/jth.14578 · 2019 · External reference
The 5th edition of the World Health Organization classification of haematolymphoid tumours: myeloid and Histiocytic/Dendritic neoplasms
10.1038/s41375-022-01613-1 · 2022 · External reference
Red cell distribution width as a prognostic marker in patients with community-acquired pneumonia
10.1016/j.ajem.2012.06.004 · 2013 · External reference
Coagulation and sepsis
10.1016/j.thromres.2016.11.007 · 2017 · External reference
Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study
10.1136/thorax.58.5.377 · 2003 · External reference
The emerging role of ferroptosis in sepsis
10.1089/dna.2021.1072 · 2022 · External reference
Diagnosis and treatment of adults with community-acquired pneumonia. An official clinical practice guideline of the American Thoracic Society and Infectious Diseases Society of America
10.1164/rccm.201908-1581st · 2019 · External reference
Red blood cell distribution width as prognostic factor in sepsis: a new use for a classical parameter
10.1016/j.jcrc.2022.154069 · 2022 · External reference
The third international consensus definitions for sepsis and septic shock (Sepsis-3)
10.1001/jama.2016.0287 · 2016 · External reference
Liver - guardian, modifier and target of sepsis
10.1038/nrgastro.2016.168 · 2017 · External reference
The NLRP3 inflammasome: molecular activation and regulation to therapeutics
10.1038/s41577-019-0165-0 · 2019 · External reference
Diagnostic approach to pneumonia in immunocompromised hosts
10.3390/jcm14020389 · 2025 · External reference
Advances in the understanding and treatment of sepsis-induced immunosuppression
10.1038/nrneph.2017.165 · 2018 · External reference
Molecular mechanisms and functions of pyroptosis in sepsis and sepsis-associated organ dysfunction
10.3389/fcimb.2022.962139 · 2022 · External reference
Immunosuppression in patients who die of sepsis and multiple organ failure
10.1001/jama.2011.1829 · ExternalCitation · doi-reference
The third international consensus definitions for sepsis and septic shock (Sepsis-3)
10.1001/jama.2016.0287 · ExternalCitation · doi-reference
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
10.1007/s00134-019-05872-y · ExternalCitation · doi-reference
Infections during AML induction chemotherapy in a contemporary cohort without fluoroquinolone prophylaxis
10.1007/s15010-025-02651-4 · ExternalCitation · doi-reference
Red cell distribution width as a prognostic marker in patients with community-acquired pneumonia
10.1016/j.ajem.2012.06.004 · ExternalCitation · doi-reference
Red blood cell distribution width as prognostic factor in sepsis: a new use for a classical parameter
10.1016/j.jcrc.2022.154069 · ExternalCitation · doi-reference
Biomarkers of bleeding and venous thromboembolism in patients with acute leukemia
10.1016/j.jtha.2024.03.020 · ExternalCitation · doi-reference
Coagulation and sepsis
10.1016/j.thromres.2016.11.007 · ExternalCitation · doi-reference
Sepsis and septic shock
10.1016/s0140-6736(18)30696-2 · ExternalCitation · doi-reference
Reporting of artificial intelligence prediction models
10.1016/s0140-6736(19)30037-6 · ExternalCitation · doi-reference
Liver - guardian, modifier and target of sepsis
10.1038/nrgastro.2016.168 · ExternalCitation · doi-reference
Advances in the understanding and treatment of sepsis-induced immunosuppression
10.1038/nrneph.2017.165 · ExternalCitation · doi-reference
European LeukemiaNet 2020 recommendations for treating chronic myeloid leukemia
10.1038/s41375-020-0776-2 · ExternalCitation · doi-reference
The 5th edition of the World Health Organization classification of haematolymphoid tumours: myeloid and Histiocytic/Dendritic neoplasms
10.1038/s41375-022-01613-1 · ExternalCitation · doi-reference
The 5th edition of the World Health Organization classification of haematolymphoid tumours: Lymphoid Neoplasms
10.1038/s41375-022-01620-2 · ExternalCitation · doi-reference
The NLRP3 inflammasome: molecular activation and regulation to therapeutics
10.1038/s41577-019-0165-0 · ExternalCitation · doi-reference
A prediction rule to identify low-risk patients with community-acquired pneumonia
10.1056/nejm199701233360402 · ExternalCitation · doi-reference
The emerging role of ferroptosis in sepsis
10.1089/dna.2021.1072 · ExternalCitation · doi-reference
Diagnosis and management of sepsis-induced coagulopathy and disseminated intravascular coagulation
10.1111/jth.14578 · ExternalCitation · doi-reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · ExternalCitation · doi-reference
Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study
10.1136/thorax.58.5.377 · ExternalCitation · doi-reference
Diagnosis and treatment of adults with community-acquired pneumonia. An official clinical practice guideline of the American Thoracic Society and Infectious Diseases Society of America
10.1164/rccm.201908-1581st · ExternalCitation · doi-reference
iwCLL guidelines for diagnosis, indications for treatment, response assessment, and supportive management of CLL
10.1182/blood-2017-09-806398 · ExternalCitation · doi-reference
Molecular mechanisms and functions of pyroptosis in sepsis and sepsis-associated organ dysfunction
10.3389/fcimb.2022.962139 · ExternalCitation · doi-reference
Immune response dysfunction in chronic lymphocytic leukemia: dissecting molecular mechanisms and microenvironmental conditions
10.3390/ijms21051825 · ExternalCitation · doi-reference
Diagnostic approach to pneumonia in immunocompromised hosts
10.3390/jcm14020389 · ExternalCitation · doi-reference
