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An overview of Bayesian statistical decision theory is presented in the tutorial spirit. A section on fundamental principles is followed by selected applications of the Bayesian approach to parameter estimation, pattern recognition, image processing, computer-aided medical diagnosis, optimal diagnostic test selection, and radiotherapy treatment planning.
The patch test results of 921 consecutively tested patients were registered on an IBM personal computer. A computer program based on the dBase III plus database software, especially designed for this purpose, was used. The statistical evaluation was performed with dBase III plus. 59% of the probands were females and 41% males. The average age was 42.8 years. 26% of the probands were inpatients and 74% outpatients. A majority of the patients presented with eczema of the hands, face or the lower legs. The largest occupational groups were houseworkers and cleaning personnel, office workers and pensioners. To 450 of the 921 patients, at least 4 test series were applied simultaneously. These included European standard, vehicles and emulgators, topical medications, and preservatives and biocides. The other 20 test series available were employed only by 2-81 patients each. The highest sensitization rates were found with: nickel, 18.7%; cobalt, 10.2%; balsam of Peru, 8.8%; framycetin, 8.0%; neomycin, 6.8%; potassium dichromate, 6.1%; p-phenylene diamine, 5.4%; paramix, 4.9%; formaldehyde, 4.8%, and (chlor)methylisothiazolinone, 4.7%. The critical evaluation of the data showed two kinds of problems: first, test-specific aspects led to optimization of the patch test procedures; second, the crucial importance of an adequate statistical analysis for epidemiological investigation was revealed.
The detection of proximal surface caries by the visual interpretation of bitewing radiographs is known to be relatively inaccurate. The present study was designed to examine whether computer image processing could improve the diagnostic accuracy. A computer-aided, software-driven, TV-based system was used to digitize conventional radiographs and digitally process the images using histogram equalization and grey-scale inversion to enhance the images. The computer-enhanced images were compared with conventional intra-oral radiographs for the detection of proximal surface caries using receiver operating characteristic analysis. The results indicate that the digital image processing techniques used did not improve the diagnostic accuracy of dental radiographs. No significant difference in diagnostic accuracy could be detected between the non-enhanced digital images and conventional film-based images for the detection of proximal surface caries.
MEDICIS is an integrated environment for computer-aided diagnosis. It consists of two subsystems: a module used by the expert to build knowledge bases and a consultation module to exploit those bases. MEDICIS uses a framed representation of knowledge. The inference engine performs logical reasoning without recourse to certainty factors. This phase is followed by a multicriteria analysis.
This paper proposed a systematic optimizing method for the composition of multicomponent mobile phase in high performance liquid chromatography. A new chromatographic response function (CRF) has been constructed according to the fundamental retention equation and rule of peak width at half-height, and the optimal composition of multicomponent mobile phase can be automatically predicted by a computer with CRF. This paper improved the known complex method, therefore, the optimal mobile phase composition in the global area may be found by means of this modified complex method. The optimal separation conditions of four vitamins and three nitrophenols were determined by use of the optimizing method reported in this paper. The results predicted by the computer were verified by the experimental data obtained in HPLC using ternary mobile phase.
In a situation of uncertain diagnosis, physicians may spend valuable time consulting relevant literature, often with unsatisfactory results. Therefore, our aim was to develop a computer system which supports differential diagnostics via rapid and comprehensive searches through information in literature. Based on entered signs and symptoms our prototype is able to offer probable diagnoses. Subsequently, further examinations and tests are suggested to confirm or exclude a certain disease. Thus, the final diagnosis is made gradually by differentiation of possible diseases. Our first attempt consisted in representing knowledge in a rule-based PROLOG system. However, because nearly all information for a sign-oriented differential diagnosis can be represented with very few relations only, we turned to a fact-oriented representation of signs and diseases. Access was possible via PROLOG or an imperative programming language. The index-sequential access on a fact-oriented representation of knowledge was suitable to manage a large knowledge base, which is necessary for a thorough differential diagnosis. A pointer structure was recently examined in order to handle different object-to-object relations. Efficient information processing is now possible which provides short response times using even broad knowledge bases.
In the past, keratoconus patients have been custom fit with multi-curve spherical contact lenses. Recently it has become possible to commercially manufacture aspherical contact lenses of high-Dk material. A computer assisted fitting technique may be used with these new lenses. We report 90 consecutive keratoconus eyes that were fit with aspherical high-Dk contact lenses using a computer-aided fitting system. Mild and severe grades of keratoconus cases were included, with a 6 to 12 month follow-up time. The combination of new lens geometry and lens material produced a reduction in corneal complications. The asphericity of the lens geometry had a slight negative influence on the visual acuity in mild keratoconus cases, but the visual acuity in the severe keratoconus cases was good. The contact lens material proved acceptably durable, despite the high oxygen transmissibility. We found the computer assisted fitting technique very accurate in determining the initial fitting lens and much faster than the former trial-and-error procedure.
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Computerized information systems hold the promise of overcoming problems in the management of clinical information Many of the claims of the creators and promoters of these systems, however, are not based on sound clinical studies. To determine the ability of computer information systems to improve the quality of medical care, we applied methodologic criteria to published articles in the field. Only 30 (22%) of 135 articles reported preplanned investigations, and only half of these met minimal criteria for scientific investigations. Fourteen studies were well designed and executed. All studies reported improvements in the process of care. However, patient outcomes were not measured, not affected, or only minimally influenced. While computer information systems show increasing potential, more work is required to enhance their effect on the quality of care and thus on patient outcomes.
The computer program described in this article was primarily designed to be an aid in the clinical reasoning process. It is intended to simplify the use of nursing diagnoses in the practice of community health nursing. However, in its present form, this program has value not only for the clinician, but also for nursing students being taught structured techniques for assessment. A more comprehensive approach to nursing care and the routine use of nursing diagnoses in providing that care will be encouraged. This article questions the necessity for community health nurses to use computers in their diagnostic role. In answering this question, evidence has been presented that both describes some of the benefits of using computer technology as it relates to nursing diagnoses, and the results of efforts by nurses who have experimented with this technology in trying to improve their practice. One of the advantages of trying to merge a new technology with a relatively new role for community health nurses is the absence of tradition. There is no traditional methodology or approach for integrating the two. And, there is no one to say that it cannot be done. An approach can be tried, changed if it does not work, and tried again. An opportunity to create a new dimension for professional practice is offered. The answer, therefore, to the opening question is, "Yes--community health nurses should be concerned with using computers in their diagnostic role."
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The paper describes certain cases of using mathematical methods in the planning of biological experiments. The paper presents an algorithm of the distribution of the experimental data based on dynamic programming. The paper discusses an application of computer-aided calculations for the formation of homogeneous groups of experimental and control tests.
Problems involved in the development of interaction software for biomedical investigations and in the preparation of experimenters for using a computer in the interactive mode are discussed. An interaction program for data analysis is suggested. The program is used to build an interactive modification that makes it possible to carry out a computer-aided verification of the mechanisms of erythropoiesis regulation in space flight. It is shown that a simple interactive terminal facility can be employed in the software of biomedical investigations, taking into account changes in the requirements placed by users and their experience of computer interaction.
An artificial neural network approach was applied to assess ventricular size from computed tomograms. Three layer, feed-forward neural networks with a back propagation algorithm were designed to distinguish between three degrees of enlargement of the ventricles on the basis of patient's age and six items of computed tomographic information. Data for training and testing the neural network were created with computed tomograms of the brains selected at random from daily examinations. Four radiologists decided by mutual consent subjectively based on their experience whether the ventricles were within normal limits, slightly enlarged, or enlarged for the patient's age. The data for training was obtained from 38 patients. The data for testing was obtained from 47 other patients. The performance of the neural network trained using the data for training was evaluated by the rate of correct answers to the data for testing. The valid solution ratio to response of the test data obtained from the trained neural networks was more than 90% for all conditions in this study. The solutions were completely valid in the neural networks with two or three units at the hidden layer with 2,200 learning iterations, and with two units at the hidden layer with 11,000 learning iterations. The squared error decreased remarkably in the range from 0 to 500 learning iterations, and was close to constant over two thousand learning iterations. The neural network with a hidden layer having two or three units showed high decision performance. The preliminary results strongly suggest that the neural network approach has potential utility in computer-aided estimation of enlargement of the ventricles.
It has been demonstrated that osteoarthritis (OA) is activity related and may worsen when joint contact stress becomes excessive due to overloading. Hence, joint alignment and loading are considered to be the key biomechanical determinants for OA. The initiation of pathologic changes in the knee has been described by the mechanism termed, "vicious cycle" in which joint axial malalignment creates excessive stresses to the localized joint cartilage/subchondral bone regions and the surrounding soft tissue which in turn produces more laxity and joint deformity and thus repeats the cyclic degradation mechanism. If this degenerative cycle can be broken with joint alignment surgery such as osteotomy, a procedure to realign the knee joint and thus redistribute joint forces applied to each compartment, performed properly and at the appropriate time, the osteoarthritic disease process can be decelerated and even reversed. The main goals of this paper are to emphasize the importance of accurate preoperative planning for osteotomy in order to properly correct joint alignment, and to justify the application of an existing computer program, OASIS (Osteotomy Analysis and Simulation Software) using plain radiographs to perform appropriate surgical planning. Normal subjects and knee osteotomy patients were studied to establish a database for the purpose of establishing the utility and efficacy of the presently proposed concept. We wish to rationalize knee osteotomy as a preferred and cost-effective treatment for patients with early symptoms of OA in the knee. This paper presents a new concept of preoperative planning for knee osteotomy based on the underlying etiology of the disease and biomechanical viewpoint with strong emphasis on surgical treatment rationales. The established principles in this paper can be applied to other joints of the body and will help implement preventive measures and other non-surgical means to manage patients with axial malalignment or early degenerative changes.
Contemporary methods of directed chemotherapy are based on multi-step procedures, which require co-ordinated activities of interdisciplinary teams of biochemists, pharmacologists, geneticists, crystallographers as well as computer scientists. Biochemists select the proper target, such as an enzyme, throughout screening of the biochemical influence of compounds-potential drugs on this target. For further research they use targets with very low inhibition constants (> 10(-6) M). Determination of the relation between therapeutic activity of the compound and modelling of its chemical structure constitutes an important part of the procedure. The most important part of the procedure is the recognition of the primary structure of the target. The two following pathways allow to do that: 1. isolation of DNA and gDNA or cDNA-started cloning of a gene responsible for production of the target protein and then its sequencing. 2. purification and crystallization of the target protein and further computer-aided processing of crystallographic data in order to determine the primary structure. Computational chemistry (C/C) methods are the basic part of the procedure of molecular modelling (M/M) of a target molecule and its interactions with a molecule of the future drug. Data obtained using a technology which engages the C/C and M/M methods not only allow to determine the aminoacid sequence of the target protein in question (e.g. a unique parasite enzyme); they also enable to further speculate on its secondary and tertiary structures. Such structure includes specified number of repeated motifs of alpha-helixes, beta-sheets and loops or turns. Particularly, the "barrel" structure is very common in numerous enzymes. Two following examples of research on target-antiparasitic drug interactions is presented. They are the interaction between phosphoglicerate kinase in Leishmania and drug suramin and malic enzyme of Trichinella and drug closantel. New promising targets for new anti-protozoan drugs (protozoa of Trypanosoma species) include e.g. microbody translocation signal in kinetosom proteins (SKL) or protein blocking the transport of proteins to glycosomes-metabolic centres in Trypanosoma (repetitive groups of QRLQ). Recently, scientists from Arris Pharmaceutical (San Francisco) have considered, employing new data, up to 100 to fully characterize the surface structure of a molecule, using the systems of artificial intelligence.
Basic monitoring in cardiac anaesthesia embraces at least 19 different parameters of haemodynamics and blood gas analysis. In special cases additional measurements may be desirable, providing a total of up to 44 variables displayed on various monitors, as depicted in Fig. 2. The recording of such an amount of data is only feasible with automated recording systems. Therefore, in the past 6 years we have introduced three different computer systems to our cardiac anaesthesia workplaces. The experiences in their handling are reported. MATERIAL AND METHOD. Three systems were investigated: (1) System S 4000 (Siemens, Germany), based on a central processor unit (PDP 11, DEC, Japan) connected with 20 bedside input/output terminals and Sirecust 404a monitors (Siemens). The system collected the data in a ring buffer with a capacity for about 24-48 h. (2) Patient Care Manager (PCM; Siemens, Germany), a single workplace system based on an IBM-compatible personal computer (PC) with the operating system environment DOS 5.0/Windows 3.0. In our test configuration it was connected with a Sirecust 1281 monitor (Siemens). (3) Monitor-Data-Manager (MDM) (our own development). This single workplace system is also based on an IBM-compatible PC running under DOS and was connected to four different monitors used in our cardiac surgery operating theatre (Fig. 2). A second computer (Sirecust S 425, Siemens) served as an interface between the two 404 monitors (not featuring a serial output like RS 232) and the PC. The self-developed program for that interface was memory resistant and executable with three key presses when the anaesthetic record was started. The three systems were compared with regard to their ease of use, function and practicability. RESULTS. System S 4000: Because of the older system architecture, the response time to key inputs was fairly long and the menu structure somewhat uncomfortable. A major drawback was the limited data buffer capacity and the lack of a long-term storage medium as well as the lack of compatibility with the industry standard for PCs. Software interfaces to other companies' monitors were not implemented, limiting the system to the Sirecust 404 devices. Patient-Care-Manager: The user interface is a Windows 3.0 application representing an up-to-date graphical environment. Unfortunately some Windows features were not fully used, e.g. the free positioning and sizing of graphic windows and the color options. Drug inputs were somewhat long-winded, limiting the system's suitability for the operating theatre. The main disadvantage, however, was the lack of interfaces to monitors other than those from Siemens. Monitor Data Manager: The system was designed to sample data from all monitors operating in our hospital's heart surgery department. Each parameter was displayed in a digital form to get close control over the recorded data (Fig. 1b); additionally calculated values like total peripheral resistance or oxygen demand could be drawn from a separate window. Furthermore, key inputs were reduced to minimum, making drug inputs faster than the hand-written protocol. The ease of performing calculations of continuous drug infusions (from microgram/kg/min to ml/h pump speed) was particularly appreciated by the users. Since the data were saved as an ASCII file, they could easily be imported by any spreadsheet like Lotus 1-2-3 or Excel, providing the whole variety of their graphical presentation or calculation features. Because of the high sampling rate (3 min), even short-lasting drug effects could be registered, making the system favourable for scientific studies. CONCLUSION. Automated monitor data record systems are considered to be a prerequisite not only for research in anaesthesia but also for quality assurance. A basic requirement for wide acceptance in clinical practice is a user interface that provides fast and convenient key inputs as well as further information about parameters not displayed on other monitors. In our h
Previously identified and current trends in the development of computer systems and in the use of computers for health care applications are reviewed. Trends identified in a 1982 article were increasing miniaturization and archival ability, increasing software costs, increasing software independence, user empowerment through new software technologies, shorter computer-system life cycles, and more rapid development and support of pharmaceutical services. Most of these trends continue today. Current trends in hardware and software include the increasing use of reduced instruction-set computing, migration to the UNIX operating system, the development of large software libraries, microprocessor-based smart terminals that allow remote validation of data, speech synthesis and recognition, application generators, fourth-generation languages, computer-aided software engineering, object-oriented technologies, and artificial intelligence. Current trends specific to pharmacy and hospitals are the withdrawal of vendors of hospital information systems from the pharmacy market, improved linkage of information systems within hospitals, and increased regulation by government. The computer industry and its products continue to undergo dynamic change. Software development continues to lag behind hardware, and its high cost is offsetting the savings provided by hardware.