A novel behavioral health care dataset creation from multiple drug review datasets and drugs prescription using EDA
In the current age, the mental condition of people varies rapidly due to various factors such as social relationships, eating disorders, and economic crisis. There are various factors that can be overcome, such as regular exercise, community engagement, meditation, reading books, and yoga. But there...
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| Format: | Article |
| Language: | English |
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De Gruyter
2025-03-01
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| Series: | Open Computer Science |
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| Online Access: | https://doi.org/10.1515/comp-2025-0025 |
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| author | Gantela Prabhakar George Merlin Linda Bandi Sudheer Reddy Samineni Nagamani Chary Sonkoju Nagarjuna |
| author_facet | Gantela Prabhakar George Merlin Linda Bandi Sudheer Reddy Samineni Nagamani Chary Sonkoju Nagarjuna |
| author_sort | Gantela Prabhakar |
| collection | DOAJ |
| description | In the current age, the mental condition of people varies rapidly due to various factors such as social relationships, eating disorders, and economic crisis. There are various factors that can be overcome, such as regular exercise, community engagement, meditation, reading books, and yoga. But there are situations where people cannot undergo the mentioned strategies. As advances in data science and big data continue, there is an increasing availability of drug review datasets. There are various manual and traditional approaches to identify the proper drug and condition with some flaws such as overtime, measurement error of the drug, and high computational complexity. Due to these barriers, cutting-edge technologies are involved in data exploration (data cleaning, data transformation, data integration, etc.) to identify the proper prescription of the condition with machine learning approaches. Furthermore, the proposed work has a threefold unique approach that includes the integration of datasets, the creation of a new dataset, and the focus on exploratory data analysis. In the final step, a novel dataset is created from multiple datasets on behavioral healthcare drug reviews that are compared with individual datasets. The main objective of the work is to satisfy the customer’s health in all aspects. The work is verified by identifying the prescription for popular health conditions such as anxiety, depression, insomnia, panic disorder, and bipolar disorder. |
| format | Article |
| id | doaj-art-0795dd2e284a4d539a3fbc09063b8ee0 |
| institution | Kabale University |
| issn | 2299-1093 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Computer Science |
| spelling | doaj-art-0795dd2e284a4d539a3fbc09063b8ee02025-08-20T03:41:01ZengDe GruyterOpen Computer Science2299-10932025-03-01151pp. 85186410.1515/comp-2025-0025A novel behavioral health care dataset creation from multiple drug review datasets and drugs prescription using EDAGantela Prabhakar0George Merlin Linda1Bandi Sudheer Reddy2Samineni Nagamani3Chary Sonkoju Nagarjuna4Department of Information Technology, Mizan Tepi University, Tepi Campus, Tepi, EthiopiaDepartment of Computer Science and Engineering, Vidya Jyothi Institute of Technology, Hyderabad, IndiaDepartment of Computer Science and Engineering, Swarna Bharathi Institute of Science and Technology, Khammam, IndiaDepartment of Computer Science and Engineering, Swarna Bharathi Institute of Science and Technology, Khammam, IndiaDepartment of Electronics and Instrumentation Engineering, VNR Vignan Jyothi College of Engineering and Technology, Hyderabad, IndiaIn the current age, the mental condition of people varies rapidly due to various factors such as social relationships, eating disorders, and economic crisis. There are various factors that can be overcome, such as regular exercise, community engagement, meditation, reading books, and yoga. But there are situations where people cannot undergo the mentioned strategies. As advances in data science and big data continue, there is an increasing availability of drug review datasets. There are various manual and traditional approaches to identify the proper drug and condition with some flaws such as overtime, measurement error of the drug, and high computational complexity. Due to these barriers, cutting-edge technologies are involved in data exploration (data cleaning, data transformation, data integration, etc.) to identify the proper prescription of the condition with machine learning approaches. Furthermore, the proposed work has a threefold unique approach that includes the integration of datasets, the creation of a new dataset, and the focus on exploratory data analysis. In the final step, a novel dataset is created from multiple datasets on behavioral healthcare drug reviews that are compared with individual datasets. The main objective of the work is to satisfy the customer’s health in all aspects. The work is verified by identifying the prescription for popular health conditions such as anxiety, depression, insomnia, panic disorder, and bipolar disorder.https://doi.org/10.1515/comp-2025-0025mental healthanxietybipolar disorderdata analysisprescriptionmachine learning |
| spellingShingle | Gantela Prabhakar George Merlin Linda Bandi Sudheer Reddy Samineni Nagamani Chary Sonkoju Nagarjuna A novel behavioral health care dataset creation from multiple drug review datasets and drugs prescription using EDA Open Computer Science mental health anxiety bipolar disorder data analysis prescription machine learning |
| title | A novel behavioral health care dataset creation from multiple drug review datasets and drugs prescription using EDA |
| title_full | A novel behavioral health care dataset creation from multiple drug review datasets and drugs prescription using EDA |
| title_fullStr | A novel behavioral health care dataset creation from multiple drug review datasets and drugs prescription using EDA |
| title_full_unstemmed | A novel behavioral health care dataset creation from multiple drug review datasets and drugs prescription using EDA |
| title_short | A novel behavioral health care dataset creation from multiple drug review datasets and drugs prescription using EDA |
| title_sort | novel behavioral health care dataset creation from multiple drug review datasets and drugs prescription using eda |
| topic | mental health anxiety bipolar disorder data analysis prescription machine learning |
| url | https://doi.org/10.1515/comp-2025-0025 |
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