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Mental health in organizations from a healthcare analytics framework:taxonomic model,trends,and impact of COVID-19

Journal of Management analytics 2024年第1期11卷 62-86页

作者： Jorge Iván Pérez Rave Carlos Mario Zapata Jaramillo Gloria Patricia Jaramillo Álvarez IDINNOV research group IDINNOV S.A.SMedellínColombia Department of Computing and Decision Sciences Universidad Nacional de ColombiaMedellínColombia

Mental disorders negatively affect employee well-being and organizational *** face a challenge in terms of how to manage mental *** paper clarifies three issues(underlying patterns,trends,and impact of COVID-19)regarding the scientific study of mental health in organizations from a healthcare analytics *** framework comprises eight stages considering a text-driven approach with scientific corpora assisted by linguistic/computational and statistical *** study discovers a new taxonomic model comprising five patterns in the scientific discourse on the *** analyses reveal imbalances and concerns regarding the interests associated with the patterns,which is reinforced by examining patterns“before”and“during”*** paper complements psychological/epidemiological studies on mental health in organizations from a healthcare analytics perspective.

关键词： healthcare analytics healthcare management analytics mental health scientific discourse text analytics taxonomy COVID-19 management analytics

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Standard NER Tagging Scheme for Big Data healthcare analytics built on Unified Medical Corpora

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Journal of Artificial Intelligence and Technology 2022年第4期2卷 152-157页

作者： Sarah Shafqat Hammad Majeed Qaisar Javaid Hafiz Farooq Ahmad Department of basic and Applied Sciences International Islamic University(IIU)IslamabadPakistan Department of Computer Science National University of Computer and Emerging SciencesIslamabadPakistan Computer Science Department College of Computer Sciences and Information Technology(CCSIT)King Faisal UniversityAl-Ahsa 31982Saudi Arabia

The motivation for this research comes from the gap found in discovering the common ground for medical context learning through analytics for different purposes of diagnosing,recommending,prescribing,or treating patients for uniform phenotype features from patients’*** authors of this paper while searching for possible solutions for medical context learning found that unified corpora tagged with medical nomenclature was missing to train the analytics for medical context ***,here we demonstrated a mechanism to come up with uniform NER(Named Entity Recognition)tagged medical corpora that is fed with 14407 endocrine patients’data set in Comma Separated Values(CSV)format diagnosed with diabetes mellitus and comorbidity *** other corpus is of ICD-10-CM coding scheme in text format taken from ***-10-CM corpus is to be tagged for understanding the medical context with uniformity for which we are conducting different experiments using common natural language programming(NLP)techniques and frameworks like TensorFlow,Keras,Long Short-Term Memory(LSTM),and *** our preliminary experiments,albeit label sets in form of(instance,label)pair were tagged with Sequential()model formed on *** and Bi-LSTM NLP *** maximum accuracy achieved for model validation was 0.8846.

关键词： big data endocrine diseases international diabetes federation healthcare analytics ICD-10 medical Corpora NLP

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analytics on medical records collected from a distributed system deployed in the Indian rural demographic

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Journal of Management analytics 2018年第1期5卷 54-72页

作者： K.G.Srinivasa Sriram Anupindi Arvind Kumar Department of Computer Science and Engineering M S Ramaiah Institute of TechnologyBangaloreIndia CBP Government Engineering College New DelhiIndia

One of the standout problems in rural regions of India is the lack of a comprehensive medical record *** records are a vital part of any diagnosis as they provide a glimpse into the patient’s past,which is influential to the current *** records help practitioners spot anomalies and patterns in a variety of medical *** is also utilized to gain a better understanding of the health situation in certain *** this paper,the authors have proposed a comprehensive distributed system which can be used to preserve the medical history of individuals,and also provide a valuable insight into the health situation of the rural *** distributed data are aggregated into a single entity from which observations are *** data acquired could be of extreme importance to the government,as it can be utilized to determine the health issues which require immediate attention,and to evaluate possible mitigation *** data collected would be portable and easily accessible with the help of mobile devices.

关键词： data analytics distributed systems healthcare analytics electronic health record healthcare management management analytics in healthcare medical analytics

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