Gert-Jan De Vries

Gert-Jan De Vries
Philips | Philips · Philips Research

PhD
A complete list of publications, including full texts, can be found on http://www.gjdv.nl/research_publications.php

About

45
Publications
10,567
Reads
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887
Citations
Introduction
Gert-Jan de Vries received his PhD and MSc degrees in Computing Science from Groningen University, the Netherlands. He is currently affiliated with Philips Research, working as a senior scientist on topics ranging from Clinical Decision Support systems to data analysis of Electronic Medical Record data. Aim of his work is to design and apply intelligent algorithms in real world applications to ultimately optimize medical care and improve people’s health and wellbeing. His work comprises the development of intelligent algorithms and models to quantify and predict patients' risks of various adverse outcomes. A complete list of publications, including full texts, can be found on http://www.gjdv.nl/research_publications.php
Additional affiliations
April 2015 - present
Philips Research Europe
Position
  • Analyst
Description
  • Senior Data Scientist in the Department of Chronic Disease Management, researching clinical risk algorithms and Clinical Decision Support systems.
September 2007 - April 2015
Philips Research Europe
Position
  • Researcher
Description
  • Clinical Decision Support (CDS), including Readmission Management and Discharge Planning in particular for multi-morbid patients. This work comprises the development of intelligent algorithms and models to quantify patient's risks for adverse events.

Publications

Publications (45)
Article
Background and Objectives: 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) combined with principal component analysis (PCA) has been applied to identify disease-related brain patterns in neurodegenerative disorders such as Parkinson’s disease (PD), Dementia with Lewy Bodies (DLB) and Alzheimer’s disease (AD). These patterns are used...
Article
Full-text available
Background and objective: Neurodegenerative diseases like Parkinson’s disease often take several years before they can be diagnosed reliably based on clinical grounds. Imaging techniques such as MRI are used to detect anatomical (structural) pathological changes. However, these kinds of changes are usually seen only late in the development. The mea...
Chapter
In this work, we propose and apply a methodology for the management and optimization of clinical pathways using process mining. We adapt the Clinical Pathway Analysis Method (CPAM) by taking into consideration healthcare providers’ needs. We successfully applied the methodology in the sepsis treatment of a major Brazilian hospital. Using data extra...
Article
Background: Models for predicting the outcome of patients hospitalized for heart failure (HF) rarely take a holistic view. We assessed the ability of measures of frailty and social support in addition to demographic, clinical, imaging and laboratory variables to predict short-term outcome for patients discharged after a hospitalization for HF. Me...
Article
Aims: Psychosocial factors are rarely collected in studies investigating the prognosis of patients with heart failure (HF), and only time to first event is commonly reported. We investigated the prognostic value of psychosocial factors for predicting first or recurrent events after discharge following hospitalization for HF. Methods and results:...
Conference Paper
Full-text available
Alzheimer's disease (AD) and Parkinson's disease (PD) are two common, progressive neurodegenerative brain disorders. Their diagnosis is very challenging at an early disease stage, if based on clinical symptoms only. Brain imaging techniques such as [ 18 F]-fluoro-deoxyglucose positron emission tomography (FDG-PET) can provide important additional i...
Article
The aim of this work is to share our experience in relevant data extraction from a hospital information system in preparation for a research study using process mining techniques. The steps performed were: research definition, mapping the normative processes, identification of tables and fields names of the database, and extraction of data. We then...
Conference Paper
Full-text available
Sokoreli, I et al 2016 Effectiveness of telehealth for heart failure management in routine practice. International Journal of Integrated Care, 16(5):S39. Correspondence to: Ioanna Sokoreli (ioanna.sokoreli@philips.com) Purpose: To assess the effect of routine use of home telemonitoring on the risk of re-admission to hospital amongst patients with h...
Article
Background: Depression is associated with increased mortality amongst patients with chronic heart failure (HF). Whether depression is an independent predictor of outcome in patients admitted for worsening of HF is unclear. Methods: OPERA-HF is an observational study enrolling patients hospitalized with worsening HF. Depression was assessed by th...
Article
Full-text available
Several studies suggest that psychological factors are associated with negative outcomes and in particular higher mortality rates among heart failure (HF) patients. We aimed to evaluate the effect sizes of depression and anxiety on all-cause mortality in HF patients. We conducted a systematic review according to the PRISMA methodology. We searched...
Conference Paper
Full-text available
Although the detection of emotions from facial video or images has been topic of intense research for several years, the set of applied classification techniques seems limited to a few popular methods. Benchmark datasets facilitate direct comparison of methods. We used one such dataset, the Cohn-Kanade database, to build classifiers for facial expr...
Conference Paper
Full-text available
Depression is strongly associated with an adverse outcome following hospital discharge for patients admitted with HF; this does not just appear to be due to the severity of HF or physical co-morbidity. Recognition and management of depression might improve patient outcomes. However, due the limited number of observed events a larger study is requir...
Article
Stress in daily life can lead to severe conditions as burn-out and depression and has a major impact on society. Being able to measure mental stress reliably opens up the ability to intervene in an early stage. We performed a large-scale study in which skin conductance, respiration and electrocardiogram were measured in semi-controlled conditions....
Article
Linking various sources of medical data provides a wealth of data to researchers. Trends in society, however, have raised privacy concerns, leading to an increasing awareness of the value of data and data ownership. Personal Health Records address this concern by explicitly giving ownership of data to the patient and enabling the patient to choose...
Article
The authors studied whether a two-step approach based on appraisal modeling could help in improving performance of emotion classification from sensor data that is typically executed in a one-stage approach in which sensor data is directly classified into a (discrete) emotion label. The proposed intermediate step is inspired by appraisal models in w...
Patent
A method of adapting an environment of a terminal (2) includes: —receiving data (27) from an external source at the terminal (2); —receiving monitoring data from a system for monitoring at least one user in the environment; and —controlling at least one output device for providing an output perceptible in the environment, the output being adjusted...
Article
We present the concept of the Vitality Bracelet, a wrist-worn device that helps users in bringing more balance in their daily life, especially a balance between stressful and relaxing situations. On the one hand, the Vitality Bracelet comprises the measurement of your skin conductance, reflecting the current level of arousal of your autonomic nervo...
Article
Full-text available
Over the last decade, an increasing number of studies have focused on automated recognition of human emotions by machines. However, performances of machine emotion recognition studies are difficult to interpret because benchmarks have not been established. To provide such a benchmark, we compared machine with human emotion recognition. We gathered...
Patent
Stimulation system for indicating stimulation signals to a user, provided with at least one heart beat sensor for converting measured heart beats into a signal, a processing circuit configured to process the measured heart beat signals, a user interface configured to indicate stimulation signals to a user, wherein the processing circuit is configur...
Conference Paper
The aging population is putting an ever increasing burden on healthcare costs, of which care for Heart Failure patients constitutes a major portion. High readmission rates are observed for this large and increasing patient population, which contribute to a large extent to the costs involved in care for Heart Failure. Risk models, when applied in a...
Article
Full-text available
Heartbeats are strongly related to emotions, and people are known to interpret their own heartbeat as emotional information. To explore how people interpret other’s cardiac activity, the authors conducted four experiments. In the first experiment, they aurally presented ten different levels of heart rate to participants and compare emotional inte...
Conference Paper
Full-text available
Objectives We set up an experiment to explore whether peripheral physiological parameters are capable of reflecting human (short term) stress. Methods For 30 participants, we measured peripheral physiology (SCR, ECG, RSP, TEMP, EMG) during several tasks (3 relaxing, 3 physically stressful, 3 mentally stressful). After each task, we measured their b...
Article
Skin conductance (SC) is one of the most commonly used measures in psychophysiological studies involving emotional arousal and is traditionally measured at the fingers or the palms (i.e., the palmar locations) of the hand. Palmar skin conductance recording positions are, however, not always preferred for ambulatory recordings in real-life situation...
Conference Paper
Although sleep stage annotation (SSA) is historically known from clinical practice and typically performed by a certified expert on the basis of visual examination of polysomnography (PSG) signals. Automatic SSA has emerged as a tool to assist sleep experts and to accelerate the analysis of PSG data. New advances in signal processing and sensor tec...
Article
A variety of modifications have been employed to learning vector quantization (LVQ) algorithms using either crisp or soft windows for selection of data. Although these schemes have been shown in practice to improve performance, a theoretical study on the influence of windows has so far been limited. Here we rigorously analyze the influence of windo...
Conference Paper
Full-text available
Bodily expressions can be used to involve players in intense experiences with games. By physically moving, breathing, or increasing your pulse, you may start emotional processes that help create for a stronger experience of the narrative in the game. We have designed a system named EmRoll that poses riddles to pairs of players. The riddles can only...
Conference Paper
The same stimulus can evoke different emotions for different individuals. Incorporating personalized construal of stimuli is how appraisal models differ from dimensional models of emotion. Scherer formulated a model of the cognitive antecedents of emotions and analyzed recollections of events and emotions that his participants provided. In the pres...
Conference Paper
Full-text available
The growing interest in affective computing is expected to have its beneficial impact on consumer lifestyle products. Especially emphatic applications - applications that make you feel they really understand you - will serve the current consumer interest in enhanced and meaningful experiences. To do so, the applications will have to measure the use...
Conference Paper
We discuss the merits of adaptive statistical models for biosignals in a daily life context. Processing of this type of signals poses a number of challenges. First, it is clear that an adaptive model is needed to tailor for the differences in physiology between individuals, as well as adapt to someone's current physiological state. Second, in a dai...
Conference Paper
Adding haptic stimulation to movies is a promising step in creating more emotionally immersive experiences. To explore the potential of this concept, we have created a wearable tactile jacket that is used to deliver movie-specific tactile stimuli to the viewer's body that are specifically targeted to influence the viewer's emotions. Immersion was e...
Article
Full-text available
Learning Vector Quantization (LVQ) is a popular method for multiclass classification. Several variants of LVQ have been developed recently, of which Robust Soft Learning Vector Quantization (RSLVQ) is a promising one. Although LVQ methods have an intuitive design with clear updating rules, their dynamics are not yet well understood. In simulations...
Article
Full-text available
One of the popular methods for multiclass classification is Learning Vector Quantization (LVQ). There have been developed several variants of LVQ lately, among which Robust Soft Learning Vector Quantization, or RSLVQ for short. An introductory study showed that RSLVQ performs better than other LVQ algorithms, even very close to the optimal linear c...

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