The Evaluation With Artificial Neural Network of Pain Scales in Children (ANN)

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

UNKNOWN

Total Enrollment

140 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-11-30

Study Completion Date

2016-05-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The study evaluates with Artificial Neural Network (ANN) of pain scales in children. Pain of these patients' will be evaluated by many pain scales in the postoperative period.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

Nursing Students and Artificial Intelligence

NCT06623448

Nursing Students

COMPLETED

Evaluation of the Efficiency of the Chronic Pain Management Training Program

NCT05371769

Nursing Caries Chronic Pain

COMPLETED NA

The Effect of Artificial Intelligence-assisted Visual Case Analysis on Nursing Students' Knowledge and Attitudes Towards Pressure Injury Prevention: A Single-blind Randomized Controlled Trial

NCT06978283

Artificial Intelligence (AI) Visual Case Analysis Nursing Students +2 more

NOT_YET_RECRUITING NA

The Effect of Turkish Music and Comedy Film on Pain, Vital Signs and Cortisol Level in Orthopedic Patients

NCT04755114

Physiological Parameter Acute Pain

COMPLETED NA

The Effect of Patient Education on Pain

NCT05887596

Fear of Pain Pain Pain Management +1 more

COMPLETED NA

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Pain of these patients' will be evaluated by many pain scales in the postoperative period. These scales include OUCHER, Visiuel Analog Scale, FLACC, Faces Pain Scale revise, Wong Baker Faces Scale, Faces Pain Scale, Numeric rating Scale, Verbal Rating Scale, CHEOPS and also age, blood pressure, respiratuar rate, heart rate will be recorded.

In the first step of this study, the parameters taken into account on widely used each pain scale practically and importance level of each parameter will be examined. The parameters taken into account in determining the degree of pain and degree of each pain scale will be recorded. Independent t-test of the pain scales will be analyzed whether different statistically. Pain scales used in the application at conclusion statistical analysis will be grouped.

In addition, parameters considered to be effective on pain (pulse, blood pressure, etc.) will be determined and also recorded. The degree of importance on pain of the current scales and other parameters to be determined and as result, new pain scale will be created. While determining the the level of importance will be utilized from the analytic hierarchy process (AHP). Making binary comparisons between AHP and parameters, the level of importance and weightiness score of each parameter will be determined. The mathematical formulation of the pain points will be presented considering AHP weightiness score of each parameter.

Although pain scores obtained mathematically, pain score with Artificial Neural Network (ANN) will be estimated considering the parameters that impact on the pain score.

The final step, the creation of new pain scale comparing the pain scores obtained by mathematical formulation and Artificial Neural Network and, it is intended to be compared with the current scales.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Pain

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* 2 months -18 years
* Children undergoing elective surgery

Exclusion Criteria

* Children with mental and motor development retardation
* Patients scheduled emergency surgery
* Patients and parents, who refused to participate in this study

Minimum Eligible Age

2 Months

Maximum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes