12 documents found, page 1 of 2
Intelligent Decision Support System for precision medicine
Mosavi, NasimsadatEste trabalho de doutoramento corresponde a uma exploração abrangente da integração de Sistemas de Suporte à Decisão Inteligente (SSDI) no contexto da medicina de precisão. O capítulo introdutório estabelece o cenário oferecendo uma visão detalhada da investigação, delineando motivações, objetivos e a importância do trabalho. Motivada pela necessidade imperativa de ir além da abordagem tradicional baseada em si...
Data mining techniques in psychotherapy: applications for studying therapeutic ...
Mosavi, Nasimsadat; Ribeiro, Eugénia; Sampaio, Adriana; Santos, ManuelTherapeutic Alliance (TA) has been consistently reported as a robust predictor of therapy outcomes and is one of the most investigated therapy relational factors. Research on therapists' and clients’ contributions to the alliance development and the alliance-outcome relationship had shown mixed results. The relation of the therapist’s and client’s biological markers with the alliance is an important and under-i...
Unveiling precision medicine with Data Mining: Discovering patient subgroups an...
Mosavi, Nasimsadat; Santos, ManuelData mining techniques, prominently clustering, assume a pivotal role in fortifying precision medicine by facilitating the revelation of patient subgroups that share common attributes. By harnessing clustering for the analysis of data behavior within the realm of precision medicine, distinctive disease patterns, and progression dynamics are unveiled, thereby contributing to the formulation of precisely tailored...
To what extent healthcare analytics influences decision making in precision med...
Mosavi, Nasimsadat; Santos, ManuelAlthough Healthcare Analytics (HA) plays a critical role to uncover the link between data and discover novel and actionable information, the level that each analytics influences clinical decision-making is different. This paper aims to highlight the role of each HA in respect to Precision Medicine (PM). Where, PM is defined as a new approach in medical decision-making that takes into account individual differen...
Intelligent decision support system for precision medicine: time series multi-v...
Mosavi, Nasimsadat; Santos, ManuelThis study has introduced a new approach to clinical data processing. Clinical data is unstructured, heterogeneous, and comes from various resources. Although, the challenges associated with processing such data have been discussed widely in literature, addressing those aspects is fragmented and case-based. This paper presents the initial outcome of applying the Time series Multi-Variables model (TsMV) to 12 di...
Data engineering to support intelligence for precision medicine in intensive care
Mosavi, Nasimsadat; Santos, Manuelthis paper aimed to present the unique data engineering work for dealing with fragmented and infrequent data collection and to integrate data from Intensive Care (ICU) with other resources. The outcome of this data processing supports the development of an Intelligent Decision Support System for Precision Medicine (IDDS4PM) by providing the possibility to analyze all the clinical events in one platform from the...
Internet of things for precision intensive medicine
Mosavi, Nasimsadat; Santos, ManuelWhereas the Precision Medicine approach plays a critical role in revolutionizing clinical decision-making, the accessibility of patient data in a customized way can empower this patient-centric clinical practice. Thus, successful utilization of the Internet of Things (IoT), is a technological booster for replacing the "one-size-fits-all" model to "patient-like-me" to tailor the treatment pathway according to th...
Characteristics of the intelligent decision support system for precision medici...
Mosavi, Nasimsadat; Santos, ManuelReducing medical errors, increasing the performance of treatments, cutting the cost of overtreatment, meeting the patient’s expectations, and finally save more lives, are some of the major benefits of Intelligent Decision Support System for Precision Medicine(IDSS4PM). This paradigm intends to explore them in the healthcare domain. This study aims to introduce the architecture and remarkable features of such a ...
Implementation considerations for the applied business intelligence in healthcare
Mosavi, Nasimsadat; Santos, ManuelWhereas it is argued that, implementation of Business Intelligence (BI) systems in healthcare is costly, complex, resource incentive and has been remained as a challenge to undertake [2]. It is important to take into account that implementation of such a system in a knowledge-driven and complex domain like healthcare, not only needs technology infrastructure but also, requires a strategic plan, decision flow, i...
Intelligent decision support System for precision medicine (IDSS 4 PM)
Mosavi, Nasimsadat; Santos, ManuelAvailability of healthcare big data and limited human cognitive to decide timely, from one hand and unsuccessful business model of traditional Medical Decision Making(MDM), on the other hand, have challenged the healthcare/medicine landscape to pioneer Precision Medicine (PM). This study aims to propose the conceptual framework of the Intelligent Decision Support system for Precision Medicine (IDSS4 PM), by hig...