{"title":"A Dynamic Method and Program for Disease-Based Genetic Classification of Individuals","authors":"Onur Çakirgöz, Süleyman Sevinç","doi":"10.57020/ject.1375605","DOIUrl":"https://doi.org/10.57020/ject.1375605","url":null,"abstract":"Personalized medicine is gaining increasing importance. However, genetic-based diseases have different underlying genetic factors, requiring separate relative risk models for each disease. In addition to these difficulties, comparing individuals according to their genetic characteristics and determining a personalized treatment method based on this, is a separate problem which is very difficult to do manually. In this study, a dynamic classification method and program is proposed for disease-based classification of individuals according to their genetic characteristics. To the best of our knowledge, this is the first generic method which performs disease-based classification of individuals. In the developed program, relative risk models containing only genetic factors are an input of the program and a common format has been created for this purpose. Our generic classification method classifies people by using information from any relative risk model rearranged according to the common format. Thanks to this program, relative risk models can be managed from a single point, many people can be classified based on their genetic characteristics, and individuals, who are genetically most similar to any person, can be determined by experts using the outputs (relevant tables) of the program.","PeriodicalId":369142,"journal":{"name":"Journal of Emerging Computer Technologies","volume":"42 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139447530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"What if GPT4 Became Autonomous: The Auto-GPT Project and Use Cases","authors":"Mehmet Fırat, Saniye Kuleli̇","doi":"10.57020/ject.1297961","DOIUrl":"https://doi.org/10.57020/ject.1297961","url":null,"abstract":"Auto-GPT is a product of an experimental project that makes the use of GPT-4 autonomous. Notably, Auto-GPT emerged and spread rapidly, while the echo of OpenAI's ChatGPT continues. However, there are insufficient studies on this new application in related literature. The purpose of this exploratory case study was to explore the different use cases and experiences of Auto-GPT users. For this purpose, 16 users with an Auto-GPT experience on the GitHub platform were interviewed. Thematic content analysis was performed on the qualitative data. AutoGPT experiences of users can be characterized by learning programs, autonomous applications, conducting research, and writing reports. The results of this study showed that content creation is the most important purpose of using Auto-GPT. As independent research functions of Auto-GPT, users also emphasize data summarization and information organization. However, the participants also pointed out the token limit (inefficiency), forgetting generated tools, and iteration as some prominent limitations of Auto-GPT. It is possible to say that Auto-GPT has a high potential to use in also in educational purpose, but it is still in the development stage.","PeriodicalId":369142,"journal":{"name":"Journal of Emerging Computer Technologies","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124879050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}