Hepatic and Renal Deterioration
Cross-source consensus on Hepatic and Renal Deterioration from 1 sources and 3 claims.
1 sources · 3 claims
How it works
Benefits
Risks & contraindications
Highlighted claims
- The ML-CDSS predicts a patient's risk of hepatic and renal deterioration using blood chemistry data collected at chemotherapy cycles three and four. — What are the views of cancer care administrators and clinicians in England on the use of a machine learning clinical decision support system (ML-CDSS) to predict patients’ risk of hepatic and renal deterioration during chemotherapy? A qualitative study
- Pharmacists emphasised the clinical value of identifying hepatic and renal risk earlier in the treatment course so that monitoring can be tailored accordingly. — What are the views of cancer care administrators and clinicians in England on the use of a machine learning clinical decision support system (ML-CDSS) to predict patients’ risk of hepatic and renal deterioration during chemotherapy? A qualitative study
- Behavioural factors such as diet and physical activity, as well as comorbidities, can influence hepatic and renal function but are not captured by the ML-CDSS's blood chemistry-only inputs. — What are the views of cancer care administrators and clinicians in England on the use of a machine learning clinical decision support system (ML-CDSS) to predict patients’ risk of hepatic and renal deterioration during chemotherapy? A qualitative study