The skin prick test is used to diagnose patients' sensitization to antigens through a mediated IgE response. It is a practical and quick exam, but its diagnosis depends on instruments for measuring the allergic response and observer's interpretation. The conventional method for inferring about the allergic reaction is performed from the dimensions of the wheals, which are measured using a ruler or a caliper. To make this diagnosis less dependent on human interpretation, the present study proposes two alternative methods to infer about the allergic reaction: computational determination of the wheal area and a study of the temperature variation of the patient's skin in the puncture region. For this purpose, prick test using histamine was performed on 20 patients randomly selected. The areas were determined by the conventional method using the dimensions of the wheals measured with a digital caliper 30 min after the puncture. The wheal areas were also determined by a Python algorithm using photographs of the puncture region obtained with a smartphone. A variable named circularity deviation was also determined for each analyzed wheal. The temperature variation was monitored using an infrared temperature sensor, which collected temperature data for 30 min. All results were statistically compared or correlated. The results showed that the computational method to infer the wheal areas did not differ significantly from the areas determined by the conventional method (p-value = 0.07585). Temperature monitoring revealed that there was a consistent temperature increase in the first minutes after the puncture, followed by stabilization, so that the data could be adjusted by a logistic equation (R² = 0.96). This adjustment showed that the optimal time to measure the temperature is 800 s after the puncture, when the temperature stabilization occurs. The results have also shown that this temperature stabilization has a significant positive correlation with wheal area (p-value = 0.0015). Thus, we concluded that the proposed computational method is more accurate to infer the wheal area when compared to the traditional method, and that the temperature may be used as an alternative parameter to infer about the allergic reaction.

皮肤点刺试验用于通过介导的IgE反应诊断患者对抗原的敏感性。这是一种实用且快速的检查，但其诊断取决于用于测量过敏反应和观察者解释的工具。推断过敏反应的常规方法是根据鱼鳞的尺寸进行的，使用尺子或卡尺进行测量。为了使这种诊断较少依赖于人类的解释，本研究提出了两种推断过敏反应的替代方法：计算风团面积和研究穿刺区域患者皮肤的温度变化。为此，对20名随机选择的患者进行了使用组胺的点刺试验。通过常规方法，使用穿刺后30分钟用数字卡尺测量的鱼鳞的尺寸来确定面积。还通过使用使用智能手机获得的穿刺区域的照片通过Python算法确定了风团区域。还为每个分析的鲸鱼确定了一个名为圆度偏差的变量。使用红外温度传感器监测温度变化，该传感器收集了30分钟的温度数据。所有结果均经过统计学比较或相关。结果表明，推断风团面积的计算方法与传统方法确定的面积没有显着差异（通过使用智能手机获得的穿刺区域的照片，通过Python算法确定了风团区域。还为每个分析的鲸鱼确定了一个名为圆度偏差的变量。使用红外温度传感器监控温度变化，该传感器收集了30分钟的温度数据。所有结果均经过统计学比较或相关。结果表明，推断风团面积的计算方法与传统方法确定的面积没有显着差异（还通过使用使用智能手机获得的穿刺区域的照片通过Python算法确定了吸气区域。还为每个分析的鲸鱼确定了一个名为圆度偏差的变量。使用红外温度传感器监测温度变化，该传感器收集了30分钟的温度数据。所有结果均经过统计学比较或相关。结果表明，推断风团面积的计算方法与传统方法确定的面积没有显着差异（所有结果均经过统计学比较或相关。结果表明，推断风团面积的计算方法与传统方法确定的面积没有显着差异（所有结果均经过统计学比较或相关。结果表明，推断风团面积的计算方法与传统方法确定的面积没有显着差异（p值= 0.07585）。温度监测表明，穿刺后的最初几分钟内温度持续升高，然后稳定下来，因此可以通过对数方程调整数据（R ²  = 0.96）。此项调整表明，在温度稳定后，穿刺后测量温度的最佳时间为800 s。结果还表明，这种温度稳定度与风团面积具有显着的正相关性（p值= 0.0015）。因此，我们得出的结论是，与传统方法相比，所提出的计算方法可以更准确地推断出风团面积，并且可以将温度用作推断过敏反应的替代参数。