中年段（35岁至45岁）酒量评估检测数据

通过检测数据，认识自身对酒精耐受的优劣势科学饮酒。主要应用于与饮酒相关的职业，比如品酒师，还与日常生活、节假日聚会等饮酒活动等领域息息相关，评价个人对酒精的耐受能力。算法：通过数据采集检测分析对人体的酒量进行评估，数据判定：若身体可承受乙醇含量优（250-500）良（125-250）中（50-125）差（0-50），V＝K · P · △ct1/△ct2 V代表酒量(ml)：酒中乙醇的含量；K为酒量常数P代表基因型组合的分数；P为基因型组合的分数，△ct1代表ADH1B基因的△ct值；△ct2代表ALDH2基因的△ct值。

This dataset helps users recognize their own advantages and disadvantages in alcohol tolerance via detection data, so as to practice scientific alcohol consumption. It is primarily applied in alcohol-related occupations such as wine tasters, and is closely linked to daily alcohol-related activities including daily life and holiday parties, with the purpose of evaluating an individual's alcohol tolerance.
Algorithm: The human body's alcohol capacity is evaluated through data collection, detection and analysis. Data grading criteria: Based on the amount of ethanol the body can tolerate, the grades are divided into excellent (250-500), good (125-250), moderate (50-125), and poor (0-50). The calculation formula is V = K · P · △ct1/△ct2, where V represents alcohol capacity (in ml) corresponding to the ethanol content in the wine; K is the alcohol capacity constant; P represents the score of the genotype combination; △ct1 denotes the △ct value of the ADH1B gene; △ct2 denotes the △ct value of the ALDH2 gene.

搜集汇总

数据集介绍

特点

该数据集为中年段（35岁至45岁）人群的酒量评估检测数据，包含58条记录，涉及基因型组合分数、身体可承受乙醇含量等关键指标，主要用于评估个人对酒精的耐受能力，适用于与饮酒相关的职业和日常生活场景。