estos son los paises en los que ya funciona el electrocardiograma del apple watch watchos 7.6.webp.webp
A recent study has found that the iWatch could predict pain and be a useful tool in patients with sickle cell disease.
This genetic red blood cell disorder can cause serious complications, including chronic anemia, stroke, and vaso-occlusive crises (VOCs), which are unpredictable and difficult to treat, leading to frequent hospitalization.
The study, conducted by researchers from Duke University and Northwestern University, used machine learning to better understand the pain experience and find trends to predict pain from VOCs.
Researchers at Duke University SCD Day Hospital collected data from patients with sickle cell disease who had been admitted for a VOC and asked them if they would like to participate in the study.
Patients who agreed to participate in the study received an Apple Watch Series 3 that they wore during their visit.
Each Apple Watch collected data including “heart rate, heart rate variability (calculated), and calories“.
Pain scores and vital signs were collected from the electronic medical record.
iWatch could predict pain. Machine learning models.
Data were analyzed using three different machine learning models: multinomial logistic regression, gradient augmentation, and random forest, and two null models, to assess the accuracy of pain scores.
The evaluation metrics considered were precision (F1 score), area under the reception operating characteristic curve, and root mean square error (RMSE).
In total, 20 patients with sickle cell disease were enrolled, and 15,683 data points were collected across the entire population.
All models outperformed the null models, with the best performing model being the random forest model, which was able to predict pain scores with an accuracy of 84.5% and an RMSE of 0.84.
iWatch Could Predict Pain: Implications for Patients and Doctors.
The researchers found that use of the Apple Watch can be “very useful for both patients and doctors“.
The device is anovel and feasible approach and presents a low-cost method that could benefit clinicians and people with sickle cell disease in the treatment of VOCs”.
The study demonstrates that the Apple Watch can be used as a low-cost, non-invasive tool to help predict pain in patients with sickle cell disease.
Additionally, this device may provide valuable information for clinicians seeking to better understand the pain experience in these patients and find trends to predict pain from VOCs.
iWatch could predict pain for people with sickle cell.
The Duke University and Northwestern University study suggests that the Apple Watch could be a useful tool for predicting pain in patients with sickle cell disease.
The results of the study suggest that the data collected by the Apple Watch can be analyzed.
These findings are highly significant for people with sickle cell disease, as VOCs are a major source of pain and serious complications.
VOCs are caused by the blockage of small blood vessels due to the formation of sickling cells.
VOC symptoms can include severe pain, swelling, and fever, and can last from a few hours to several days. The pain from VOCs is often severe and can be difficult to manage, leading to frequent hospitalization.
Until now, clinicians have had to rely heavily on the patient’s subjective description of pain to assess the severity of VOCs and determine the best treatment strategy.
However, the study suggests that the combination of Apple Watch data and machine learning algorithms could provide a more objective way to predict and monitor pain experienced by patients with the disease.
Apple Watch the ally in health.
Wearable devices, such as the Apple Watch, have the potential to collect and analyze health data in real time, which can help clinicians make more informed treatment decisions and improve patients’ quality of life.
In addition to their use in healthcare, wearable devices also have a role in medical research.
The data collected through these devices can help researchers better understand the nature of specific diseases and develop better treatments.
In the case of sickle cell disease, the use of monitoring technologies such as the Apple Watch can lead to new treatment strategies and improve the quality of life for those with this medical condition.
While more studies are needed to confirm these findings, the use of wearable devices like the Apple Watch in healthcare.
Medical research is a growing trend that has the potential to improve the quality of life for people with chronic conditions such as sickle cell disease.
