In today's era of unlimited competition in all spheres of life, modern people are becoming vulnerable to various types of diseases. Hair loss has begun to attract increasing attention in contemporary society, where outward appearance is very important. Recent trends show that patients exposed to various factors excluding genetic factors and natural ageing, such as environmental pollution, stress from tough competition, and unhealthy eating habits and diet, are escalating. This further becomes a vicious cycle when hair loss itself plays a role in causing alopecia. Anderson [
1] emphasized stress as the cause of alopecia and its relapse. Maffei et al. [
2] and Fossati et al. [
3] showed that hair loss patients have a high rate of morbid personality disorder before diagnosis of alopecia. Although hair loss is a disease that affects daily life, medical doctors argue that it greatly impacts personal life [
4]. The constant mental and emotional stress leads to secondary morbidity [
5]. Thus, stress due to hair loss is often compared to that due to severe chronic illness or life-threatening disease [
6]. Alopecia patients believe that the disadvantage due to a negative image formed by hair loss in the social sphere, including job and marriage prospects and various social activities, tend to cause lack of confidence and self-deprecation accompanied by psychological anxiety, depression, and emotional disorders [
7]. Therefore, hair loss should be regarded as an aspect of life requiring more attention than a simple dermatological disease does [
4]. Schlenker and Leary [
8], define interpersonal anxiety in social situations as anxiety when personal evaluation is expected or its result exists in the real or imaginary order. Leary et al. [
9] stated that people often complained of fear of negative evaluation by others and it leads to various secondary diseases. Recent medical research reported the construction of severity adjust model [
10], development of hypertension predictive model [
11] and development of a tailored follow up management model on hypertension [
12] et cetera by using the data mining technique and identifying hepatocellular carcinoma (HCC) by proteomic profiling study of HCC patients through two-dimensional gel electrophoresis (2-DE) and revealed potential candidate cancer biomarkers by artificial neural networks and decision tree (CART) [
13] and prognosis of prostate cancer by using artificial neural networks and receiver operating characteristic (ROC) analysis [
14]. In addition the data mining technique has been used for treatment of female pattern hair loss with oral antiandrogens [
15], the epidemiological analysis of androgenetic alopecia [
16] and environmental stress in children or adolescents with alopecia areata [
17] et cetera. However, there isn't enough research for the secondary symptoms of alopecia. The present study aims to collect empirical and theoretical data by analyzing the correlation between hair loss and symptoms based on chief complaints of patients with hair loss through the data mining technique. We examined the usefulness of highly reliable data on the identification of patients' symptoms before and after hair loss treatment and prevention of secondary diseases as well as clinical information of patients in the course of hair restoration treatment.