Personalized Data Analysis Approach for Assessing Necessary Hospital Bed-Days Built on Condition Space and Hierarchical Predictor

Abstract

The paper describes the medical data personalization problem by determining the individual characteristics needed to predict the number of days a patient spends in a hospital. The mathematical problem of patient information analysis is formalized, which will help identify critical personal characteristics based on conditioned space analysis. The condition space is given in cube form as a reflection of the functional relationship of the general parameters to the studied object. The dataset consists of 51 instances, and ten parameters are processed using different clustering and regression models. Days in hospital is the target variable. A condition space cube is formed based on clustering analysis and features selection. In this manner, a hierarchical predictor based on clustering and an ensemble of weak regressors is built. The quality of the developed hierarchical predictor for Root Mean Squared Error metric is 1.47 times better than the best weak predictor (perceptron with 12 units in a single hidden layer).

Моделювання Процесу Підтримки Прийняття Рішень Щодо Можливості Укладання Договору Про Надання Терапевтичних Послуг

“…Враховуючи вищевикладене, все більшої уваги на сьогодні потребує питання укладання договору про надання терапевтичних послуг. Договір про надання терапевтичних послуг можна визначити як Значно збільшити продуктивність праці терапевтів може успішно впроваджене медичне програмне забезпечення та системи підтримки прийняття рішень (СППР) [3][4][5]. Ще більш значущою та важливою для підтримки роботи терапевтів наразі є мультидисциплінарна медична СППР, яка розробляється на стику медичної та інших предметних галузей -наприклад, СППР, яка б забезпечувала підтримку прийняття рішень щодо укладання договорів про надання терапевтичних послуг з врахуванням законодавчих цивільноправових підстав.…”

Rules and Method of Supporting the Decision-Making Regarding the Possibility of Extracorporeal Fertilization

“…The successful implementation of such systems/technologies is critically important for improving the efficiency of the medical industry, as these systems/technologies can protect doctors from potentially incorrect decisions due to taking into account all available information, in particular, legal grounds [1] (because many problems in the medical field have legal roots, and solving the legal needs of patients can have a long-term impact on health [2]), are able to provide doctors with the necessary information related to a particular decision, increase the efficiency of the use of current medical resources, accelerate the integration of Ukrainian medicine into the European medical space [3][4][5].…”

“…The conducted analysis proves that none of the known systems/technologies are intended to support decisionmaking regarding the possibility of providing the extracorporeal fertilization, taking into account civil legal grounds. Although the use of such cross-disciplinary systems/technologies can significantly increase the correctness of the decision from a legal point of view, protect the doctor and the patient from legal collisions, provide an opportunity for a quick and free check of the presence of all significant conditions from a legal point of view, as well as recommendations for further implementation or non-implementation procedures of extracorporeal fertilization [5,11].…”