Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Pre-Processing techniques and artificial intelligence algorithms for electrocardiogram (ECG) signals analysis: A comprehensive review
Electrocardiogram (ECG) are the physiological signals and a standard test to measure the
heart's electrical activity that depicts the movement of cardiac muscles. A review study has …
heart's electrical activity that depicts the movement of cardiac muscles. A review study has …
A survey on agents applications in healthcare: Opportunities, challenges and trends
Abstract Background and Objective: The agent abstraction is a powerful one, developed
decades ago to represent crucial aspects of artificial intelligence research. The meaning has …
decades ago to represent crucial aspects of artificial intelligence research. The meaning has …
[HTML][HTML] Towards a goal-oriented methodology for clinical-guideline-based management recommendations for patients with multimorbidity: GoCom and its preliminary …
Patients with chronic multimorbidity are becoming more common as life expectancy
increases, making it necessary for physicians to develop complex management plans. We …
increases, making it necessary for physicians to develop complex management plans. We …
Clinical guidelines: a crossroad of many research areas. challenges and opportunities in process mining for healthcare
Clinical Guidelines, medical protocols, and other healthcare indications, cover a significant
slice of physicians daily routine, as they are used to support clinical choices also with …
slice of physicians daily routine, as they are used to support clinical choices also with …
Learning to select goals in Automated Planning with Deep-Q Learning
In this work we propose a planning and acting architecture endowed with a module which
learns to select subgoals with Deep Q-Learning. This allows us to decrease the load of a …
learns to select subgoals with Deep Q-Learning. This allows us to decrease the load of a …
Using graph rewriting to operationalize medical knowledge for the revision of concurrently applied clinical practice guidelines
Clinical practice guidelines (CPGs) are patient management tools that synthesize medical
knowledge into an actionable format. CPGs are disease specific with limited applicability to …
knowledge into an actionable format. CPGs are disease specific with limited applicability to …
APPRAISE-RS: Automated, updated, participatory, and personalized treatment recommender systems based on GRADE methodology
Abstract Purpose Clinical practice guidelines (CPGs) have become fundamental tools for
evidence-based medicine (EBM). However, CPG suffer from several limitations, including …
evidence-based medicine (EBM). However, CPG suffer from several limitations, including …
Decision support for comorbid conditions via execution-time integration of clinical guidelines using transaction-based semantics and temporal planning
In case of comorbidity, ie, multiple medical conditions, Clinical Decision Support Systems
(CDSS) should issue recommendations based on all relevant disease-related Clinical …
(CDSS) should issue recommendations based on all relevant disease-related Clinical …
Supporting physicians in the coordination of distributed execution of CIGs to treat comorbid patients
Abstract Clinical Practice Guidelines (CPGs) encode the “best” medical practices to treat
patients affected by a specific disease and are widely used in the medical practice. Starting …
patients affected by a specific disease and are widely used in the medical practice. Starting …
Planning to be healthy: towards personalized medication planning
Personalized medication plans determine the selection, dosage, and administration
schedule of medications, to achieve medical goals that are specific to the patient and to its …
schedule of medications, to achieve medical goals that are specific to the patient and to its …