AI Medical Compendium Topic:
Clinical Decision-Making

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Bimodal fuzzy analytic hierarchy process (BFAHP) for coronary heart disease risk assessment.

Journal of biomedical informatics
Rooted deeply in medical multiple criteria decision-making (MCDM), risk assessment is very important especially when applied to the risk of being affected by deadly diseases such as coronary heart disease (CHD). CHD risk assessment is a stochastic, u...

Bayesian averaging over Decision Tree models for trauma severity scoring.

Artificial intelligence in medicine
Health care practitioners analyse possible risks of misleading decisions and need to estimate and quantify uncertainty in predictions. We have examined the "gold" standard of screening a patient's conditions for predicting survival probability, based...

Behind the scenes: A medical natural language processing project.

International journal of medical informatics
Advancement of Artificial Intelligence (AI) capabilities in medicine can help address many pressing problems in healthcare. However, AI research endeavors in healthcare may not be clinically relevant, may have unrealistic expectations, or may not be ...

Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.

BMC medical informatics and decision making
BACKGROUND: The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a note accurately, we have constru...

A machine learning approach to triaging patients with chronic obstructive pulmonary disease.

PloS one
COPD patients are burdened with a daily risk of acute exacerbation and loss of control, which could be mitigated by effective, on-demand decision support tools. In this study, we present a machine learning-based strategy for early detection of exacer...

Development of an intelligent surgical training system for Thoracentesis.

Artificial intelligence in medicine
Surgical training improves patient care, helps to reduce surgical risks, increases surgeon's confidence, and thus enhances overall patient safety. Current surgical training systems are more focused on developing technical skills, e.g. dexterity, of t...

A novel bagging C4.5 algorithm based on wrapper feature selection for supporting wise clinical decision making.

Journal of biomedical informatics
From the perspective of clinical decision-making in a Medical IoT-based healthcare system, achieving effective and efficient analysis of long-term health data for supporting wise clinical decision-making is an extremely important objective, but deter...